National Library of Energy BETA

Sample records for monitoring sensor network

  1. Wireless Sensor Networks: Monitoring and Control

    SciTech Connect (OSTI)

    Hastbacka, Mildred; Ponoum, Ratcharit; Bouza, Antonio

    2013-05-31

    The article discusses wireless sensor technologies for building energy monitoring and control. This article, also, addresses wireless sensor networks as well as benefits and challenges of using wireless sensors. The energy savings and market potential of wireless sensors are reviewed.

  2. Monitoring Energy Consumption In Wireless Sensor Networks

    E-Print Network [OSTI]

    Turau, Volker

    Monitoring Energy Consumption In Wireless Sensor Networks Matthias Witt, Christoph Weyer to monitor the consump- tion of energy in wireless sensor networks based on video streams com- posed from energy consumption in both standby and active modes is the basis of wireless networks. Energy preserving

  3. Underground Structure Monitoring with Wireless Sensor Networks

    E-Print Network [OSTI]

    Liu, Yunhao

    University of Science and Technology {limo, liu}@cse.ust.hk ABSTRACT Environment monitoring in coal mines to better serve people by automatically monitoring and interacting with physical environments. EnvironmentUnderground Structure Monitoring with Wireless Sensor Networks Mo Li, Yunhao Liu Hong Kong

  4. Wireless Sensor Networks for Structural Health Monitoring by Sukun Kim

    E-Print Network [OSTI]

    California at Berkeley, University of

    Wireless Sensor Networks for Structural Health Monitoring by Sukun Kim Research Project Submitted James W. Demmel Second Reader (Date) #12;Wireless Sensor Networks for Structural Health Monitoring Copyright Spring 2005 by Sukun Kim #12;i Abstract Wireless Sensor Networks for Structural Health Monitoring

  5. A Summary Review of Wireless Sensors and Sensor Networks for Structural Health Monitoring

    E-Print Network [OSTI]

    Lynch, Jerome P.

    Articles A Summary Review of Wireless Sensors and Sensor Networks for Structural Health Monitoring performance and health. KEYWORDS: wireless sensors, structural monitoring, dam- age detection, smartb). Called structural health monitoring (SHM), this new paradigm offers an auto- mated method

  6. A Gate Level Sensor Network for Integrated Circuits Temperature Monitoring

    E-Print Network [OSTI]

    Potkonjak, Miodrag

    A Gate Level Sensor Network for Integrated Circuits Temperature Monitoring Alireza Vahdatpour, Saro and temporal) temperature monitoring allows several run-time optimizations. Protecting shared processors from, miodrag}@cs.ucla.edu Abstract-- We present the first sensor network architecture to monitor integrated

  7. Snow Monitoring with Sensor Networks Thomas C. Henderson

    E-Print Network [OSTI]

    Henderson, Thomas C.

    Snow Monitoring with Sensor Networks Thomas C. Henderson School of Computing University of Utah in the construction of a smart sensor network to monitor snow conditions and help determine avalanche probability of deaths each year from avalanche or snow-related conditions, we are developing a network for deployment

  8. a Wireless Sensor Network for Environmental Monitoring

    E-Print Network [OSTI]

    Gburzynski, Pawel

    technology: a truly self configurable, low-cost, maintenance-free, ad-hoc sensor network (not based on ZigBee-free, ad-hoc sensor network (not based on ZigBee TM ) Practically unbounded scalability, e.g., thousands

  9. Robotic Sensor Networks: An Application to Monitoring

    E-Print Network [OSTI]

    Amigoni, Francesco

    carry sensors around an environment to detect phenomena and produce detailed en- vironmental assessments applications require to monitor an environment in order to detect phenomena and produce detailed environmental to monitoring Electro-Magnetic Fields (EMFs). The monitoring of EMF phenomena is extremely im- portant

  10. > Paper ID no.: 1568945144 Sensor networks in environmental monitoring

    E-Print Network [OSTI]

    Kent, University of

    into representations collected in that area. This approach is energy efficient due to the fact that the sensor nodes are prevented from using a lot of energy to transmit their data over large distances. Forming clusters of sensor data from a sensor network placed on a sand bank to monitor the coastal effects of wind

  11. Networked Computing in Wireless Sensor Networks for Structural Health Monitoring

    E-Print Network [OSTI]

    Jindal, Apoorva

    2010-01-01

    This paper studies the problem of distributed computation over a network of wireless sensors. While this problem applies to many emerging applications, to keep our discussion concrete we will focus on sensor networks used for structural health monitoring. Within this context, the heaviest computation is to determine the singular value decomposition (SVD) to extract mode shapes (eigenvectors) of a structure. Compared to collecting raw vibration data and performing SVD at a central location, computing SVD within the network can result in significantly lower energy consumption and delay. Using recent results on decomposing SVD, a well-known centralized operation, into components, we seek to determine a near-optimal communication structure that enables the distribution of this computation and the reassembly of the final results, with the objective of minimizing energy consumption subject to a computational delay constraint. We show that this reduces to a generalized clustering problem; a cluster forms a unit on w...

  12. Health Monitoring of Drive Connected Three-Phase Induction Motors ----- From Wired Towards Wireless Sensor Networks

    E-Print Network [OSTI]

    Xue, Xin

    2009-01-01

    Wireless sensor network (WSN), one of the featuredwireless sensor network ( WSN) technology provides athe monitoring system in a WSN architecture for industrial

  13. Mobile sensor network to monitor wastewater collection pipelines

    E-Print Network [OSTI]

    Lim, Jungsoo

    2012-01-01

    Advanced pipeline monitoringDesign of mobile pipeline floating sensor “SewerSnortIllustration of mobile pipeline floating sensor monitoring

  14. A Wireless Sensor Network Air Pollution Monitoring System

    E-Print Network [OSTI]

    Khedo, Kavi K; Mungur, Avinash; Mauritius, University of; Mauritius,; 10.5121/ijwmn.2010.2203

    2010-01-01

    Sensor networks are currently an active research area mainly due to the potential of their applications. In this paper we investigate the use of Wireless Sensor Networks (WSN) for air pollution monitoring in Mauritius. With the fast growing industrial activities on the island, the problem of air pollution is becoming a major concern for the health of the population. We proposed an innovative system named Wireless Sensor Network Air Pollution Monitoring System (WAPMS) to monitor air pollution in Mauritius through the use of wireless sensors deployed in huge numbers around the island. The proposed system makes use of an Air Quality Index (AQI) which is presently not available in Mauritius. In order to improve the efficiency of WAPMS, we have designed and implemented a new data aggregation algorithm named Recursive Converging Quartiles (RCQ). The algorithm is used to merge data to eliminate duplicates, filter out invalid readings and summarise them into a simpler form which significantly reduce the amount of dat...

  15. Underground Coal Mine Monitoring with Wireless Sensor Networks

    E-Print Network [OSTI]

    Liu, Yunhao

    10 Underground Coal Mine Monitoring with Wireless Sensor Networks MO LI and YUNHAO LIU Hong Kong University of Science and Technology Environment monitoring in coal mines is an important application queries under instable circumstances. A prototype is deployed with 27 mica2 motes in a real coal mine. We

  16. Structural Monitoring of Wind Turbines using Wireless Sensor Networks

    E-Print Network [OSTI]

    Sweetman, Bert

    1 Structural Monitoring of Wind Turbines using Wireless Sensor Networks R. Andrew Swartz1 , Jerome becomes more critical. Wind power has tremendous potential to provide renewable energy without reliance on traditional fossil fuel technologies. Conditional monitoring of wind turbines can help to avert unplanned

  17. Structural Monitoring of Wind Turbines using Wireless Sensor Networks

    E-Print Network [OSTI]

    Lynch, Jerome P.

    1 Structural Monitoring of Wind Turbines using Wireless Sensor Networks R. Andrew Swartz1, Jerome P becomes more critical. Wind power has tremendous potential to provide renewable energy without reliance on traditional fossil fuel technologies. Conditional monitoring of wind turbines can help to avert unplanned

  18. Local Monitoring and Maintenance for Operational Wireless Sensor Networks

    E-Print Network [OSTI]

    Wu, Jie

    a wireless sensor network (WSN) is to monitor the network itself. Many ex- isting approaches perform centralized analysis and maintenance based on a large amount of status reports collected from the WSN, while the normal operations of targeted WSN applications. Unlike existing work, we propose LoMoM, a new approach

  19. The Design and Evaluation of a Wireless Sensor Network for Mine Safety Monitoring

    E-Print Network [OSTI]

    Huang, Changcheng

    The Design and Evaluation of a Wireless Sensor Network for Mine Safety Monitoring Xiaoguang Niu12 sensor network for mine safety monitoring. Based on the characteristics of underground mine gallery overhead with a well-bounded offset error for large-scale sensor networks. This mechanism is easy

  20. Wireless Sensor Network for Electric Transmission Line Monitoring

    SciTech Connect (OSTI)

    Alphenaar, Bruce

    2009-06-30

    Generally, federal agencies tasked to oversee power grid reliability are dependent on data from grid infrastructure owners and operators in order to obtain a basic level of situational awareness. Since there are many owners and operators involved in the day-to-day functioning of the power grid, the task of accessing, aggregating and analyzing grid information from these sources is not a trivial one. Seemingly basic tasks such as synchronizing data timestamps between many different data providers and sources can be difficult as evidenced during the post-event analysis of the August 2003 blackout. In this project we investigate the efficacy and cost effectiveness of deploying a network of wireless power line monitoring devices as a method of independently monitoring key parts of the power grid as a complement to the data which is currently available to federal agencies from grid system operators. Such a network is modeled on proprietary power line monitoring technologies and networks invented, developed and deployed by Genscape, a Louisville, Kentucky based real-time energy information provider. Genscape measures transmission line power flow using measurements of electromagnetic fields under overhead high voltage transmission power lines in the United States and Europe. Opportunities for optimization of the commercial power line monitoring technology were investigated in this project to enable lower power consumption, lower cost and improvements to measurement methodologies. These optimizations were performed in order to better enable the use of wireless transmission line monitors in large network deployments (perhaps covering several thousand power lines) for federal situational awareness needs. Power consumption and cost reduction were addressed by developing a power line monitor using a low power, low cost wireless telemetry platform known as the ''Mote''. Motes were first developed as smart sensor nodes in wireless mesh networking applications. On such a platform, it has been demonstrated in this project that wireless monitoring units can effectively deliver real-time transmission line power flow information for less than $500 per monitor. The data delivered by such a monitor has during the course of the project been integrated with a national grid situational awareness visualization platform developed by Oak Ridge National Laboratory. Novel vibration energy scavenging methods based on piezoelectric cantilevers were also developed as a proposed method to power such monitors, with a goal of further cost reduction and large-scale deployment. Scavenging methods developed during the project resulted in 50% greater power output than conventional cantilever-based vibrational energy scavenging devices typically used to power smart sensor nodes. Lastly, enhanced and new methods for electromagnetic field sensing using multi-axis magnetometers and infrared reflectometry were investigated for potential monitoring applications in situations with a high density of power lines or high levels of background 60 Hz noise in order to isolate power lines of interest from other power lines in close proximity. The goal of this project was to investigate and demonstrate the feasibility of using small form factor, highly optimized, low cost, low power, non-contact, wireless electric transmission line monitors for delivery of real-time, independent power line monitoring for the US power grid. The project was divided into three main types of activity as follows; (1) Research into expanding the range of applications for non-contact power line monitoring to enable large scale low cost sensor network deployments (Tasks 1, 2); (2) Optimization of individual sensor hardware components to reduce size, cost and power consumption and testing in a pilot field study (Tasks 3,5); and (3) Demonstration of the feasibility of using the data from the network of power line monitors via a range of custom developed alerting and data visualization applications to deliver real-time information to federal agencies and others tasked with grid reliability (Tasks 6,8)

  1. TriopusNet: Automating Wireless Sensor Network Deployment and Replacement in Pipeline Monitoring

    E-Print Network [OSTI]

    Chu, Hao-hua

    TriopusNet: Automating Wireless Sensor Network Deployment and Replacement in Pipeline Monitoring sensor net- work system for autonomous sensor deployment in pipeline monitoring. TriopusNet works by automatically releasing sensor nodes from a centralized repository located at the source of the water pipeline

  2. Laser Spectroscopic Trace-Gas Sensor Networks for Atmospheric Monitoring Applications

    E-Print Network [OSTI]

    Zhong, Lin

    Laser Spectroscopic Trace-Gas Sensor Networks for Atmospheric Monitoring Applications Stephen So@princeton.edu ABSTRACT Laser-based atmospheric trace-gas sensors have great potential for long-term, real a laser based chemical sensing technology with wide-area autonomous wireless sensor networking

  3. Architecture for Efficient Monitoring and Man-agement of Sensor Networks

    E-Print Network [OSTI]

    Wang, Yongge

    - sors. We form groups of sensors around these agents while considering the load on each agent. An energy communication which re- duces the amount of sensor energy expended in transmission, enables efficient monitoring network lifetime. The approach is vali- dated by the simulation results. Keywords: Sensor networks, Energy

  4. A framework for use of wireless sensor networks in forest fire detection and monitoring

    E-Print Network [OSTI]

    Ulusoy, Özgür

    consuming energy efficiently. Ó 2012 Elsevier Ltd. All rights reserved. 1. Introduction Forest firesA framework for use of wireless sensor networks in forest fire detection and monitoring Yunus Emre sensor networks Forest fire detection Environmental monitoring a b s t r a c t Forest fires are one

  5. Development of software architecture for environmental monitoring using wireless sensor networks

    E-Print Network [OSTI]

    Hari, Piyush

    2006-01-01

    In this thesis, I describe the development of the software architecture for temperature monitoring using Wireless Sensor Networks (WSN). The goal of the software is to provide a means to remotely monitor and analyze ...

  6. Energy-Efficient Target Monitoring in Wireless Sensor Networks Deepti Jain and Vinod M. Vokkarane

    E-Print Network [OSTI]

    Vokkarane, Vinod M.

    of the interplay be- tween network protocols, energy-aware design, signal-processing algorithms, and distributed, and storage. Therefore, improvising on the energy constraints of wireless sensor networks is crucial. WeEnergy-Efficient Target Monitoring in Wireless Sensor Networks Deepti Jain and Vinod M. Vokkarane

  7. Sensor Networks for Monitoring and Control of Water Distribution Systems

    E-Print Network [OSTI]

    Whittle, Andrew

    Water distribution systems present a significant challenge for structural monitoring. They comprise a complex network of pipelines buried underground that are relatively inaccessible. Maintaining the integrity of these ...

  8. Wireless Sensor Network for Monitoring of Historic Structures under Rehabilitation 

    E-Print Network [OSTI]

    Samuels, Julie Marie

    2012-02-14

    . The Frankford Church, an historic wooden church which required foundation replacement, is the first field study. Sensors monitor tilt of the church’s walls throughout construction. During the construction process, the entire floor of the church is removed...

  9. Mobile sensor network to monitor wastewater collection pipelines

    E-Print Network [OSTI]

    Lim, Jungsoo

    2012-01-01

    a) and (b) Sensing unit in WSN operates mainly by batteryin wireless sensor network (WSN). It provides a standardizedbased on the requirements of WSN. On top of IEEE 802.15.4

  10. Monitoring Volcanic Eruptions with a Wireless Sensor Network

    E-Print Network [OSTI]

    as accuracy of infrasonic signal detection. I. INTRODUCTION Wireless sensor networks have the potential consumption of these systems is very high, requiring large batteries and solar panels for long deployments multiple sensor nodes must be accurately synchronized against a global time base. To demonstrate the use

  11. Energy Harvesting for Structural Health Monitoring Sensor Networks

    SciTech Connect (OSTI)

    Park, G.; Farrar, C. R.; Todd, M. D.; Hodgkiss, T.; Rosing, T.

    2007-02-26

    This report has been developed based on information exchanges at a 2.5-day workshop on energy harvesting for embedded structural health monitoring (SHM) sensing systems that was held June 28-30, 2005, at Los Alamos National Laboratory. The workshop was hosted by the LANL/UCSD Engineering Institute (EI). This Institute is an education- and research-focused collaboration between Los Alamos National Laboratory (LANL) and the University of California, San Diego (UCSD), Jacobs School of Engineering. A Statistical Pattern Recognition paradigm for SHM is first presented and the concept of energy harvesting for embedded sensing systems is addressed with respect to the data acquisition portion of this paradigm. Next, various existing and emerging sensing modalities used for SHM and their respective power requirements are summarized, followed by a discussion of SHM sensor network paradigms, power requirements for these networks and power optimization strategies. Various approaches to energy harvesting and energy storage are discussed and limitations associated with the current technology are addressed. This discussion also addresses current energy harvesting applications and system integration issues. The report concludes by defining some future research directions and possible technology demonstrations that are aimed at transitioning the concept of energy harvesting for embedded SHM sensing systems from laboratory research to field-deployed engineering prototypes.

  12. Design Considerations for a Large-Scale Wireless Sensor Network for Substation Monitoring

    E-Print Network [OSTI]

    Nasipuri, Asis

    effective monitoring applications for the substation using low-cost wireless sensor nodes that can sustainDesign Considerations for a Large-Scale Wireless Sensor Network for Substation Monitoring Asis University City Blvd. Charlotte, NC 28223 Luke Van der Zel and Bienvenido Rodriguez Substations Group EPRI

  13. CONSIDERATION OF SECURITY IN TELEHEALTH WIRELESS SENSOR NETWORK MONITORING SYSTEMS

    E-Print Network [OSTI]

    in the security of data transmission through wire- less sensor networks (WSN). Each individual node in a WSN. The Flooding Time Synchronization Protocol (FTSP) [5] is proposed to ensure time sychrony in the telehealh WSN to investigate the effects of injecting bad time synchroniza- tion messages into a WSN implemented with the FTSP

  14. SWATS: Wireless Sensor Networks for Steamflood and Waterflood Pipeline Monitoring

    E-Print Network [OSTI]

    Heidemann, John

    , SWATS (Steamflood and WAter- flood Tracking System), aims to allow continuous monitoring, observation by a single node cannot capture the topological effects on the transient characteristics of steam (oil, steam, water, and sewer) networks have major shortcomings. Supervisory Control And Data Acquisi

  15. Autonomous Adaptive Resource Management in Sensor Network Systems for Environmental Monitoring

    E-Print Network [OSTI]

    Panangadan, Anand

    1 Autonomous Adaptive Resource Management in Sensor Network Systems for Environmental Monitoring rates, and routing of data) that impact the utilization of the system resources (such as energy reserves is illustrated on a coastal monitoring and forecast system that is in operation in the New York harbor

  16. DEVELOPMENT OF A SENSOR NETWORK TEST BED FOR ISD MATERIALS AND STRUCUTRAL CONDITION MONITORING

    SciTech Connect (OSTI)

    Zeigler, K.; Ferguson, B.; Karapatakis, D.; Herbst, C.; Stripling, C.

    2011-07-06

    The P Reactor at the Savannah River Site is one of the first reactor facilities in the US DOE complex that has been placed in its end state through in situ decommissioning (ISD). The ISD end state consists of a grout-filled concrete civil structure within the concrete frame of the original building. To evaluate the feasibility and utility of remote sensors to provide verification of ISD system conditions and performance characteristics, an ISD Sensor Network Test Bed has been designed and deployed at the Savannah River National Laboratory. The test bed addresses the DOE-EM Technology Need to develop a remote monitoring system to determine and verify ISD system performance. Commercial off-the-shelf sensors have been installed on concrete blocks taken from walls of the P Reactor Building. Deployment of this low-cost structural monitoring system provides hands-on experience with sensor networks. The initial sensor system consists of: (1) Groutable thermistors for temperature and moisture monitoring; (2) Strain gauges for crack growth monitoring; (3) Tiltmeters for settlement monitoring; and (4) A communication system for data collection. Preliminary baseline data and lessons learned from system design and installation and initial field testing will be utilized for future ISD sensor network development and deployment.

  17. Hallway Monitoring: Distributed Data Processing with Wireless Sensor Networks

    E-Print Network [OSTI]

    Baumgartner, Tobias

    infrared sensors (PIRs), con- nected to 30 wireless sensor nodes. There are also 29 LEDs and speakers, development, and evaluation of higher-level algorithms in real de- ployments in which sensor nodes can share, and 29 passive infrared sensors (PIRs) for motion detection. The construction of the load sensors has

  18. Mobile sensor network to monitor wastewater collection pipelines

    E-Print Network [OSTI]

    Lim, Jungsoo

    2012-01-01

    SewerSnort gas sensor board evaluation . . . . . . . . .8.1 SewerSnort gas sensor board evaluation In our previousFigure 8.6: Gas sensor board evaluation scenario and

  19. Model Based Optimal Sensor Network Design for Condition Monitoring in an IGCC Plant

    SciTech Connect (OSTI)

    Kumar, Rajeeva; Kumar, Aditya; Dai, Dan; Seenumani, Gayathri; Down, John; Lopez, Rodrigo

    2012-12-31

    This report summarizes the achievements and final results of this program. The objective of this program is to develop a general model-based sensor network design methodology and tools to address key issues in the design of an optimal sensor network configuration: the type, location and number of sensors used in a network, for online condition monitoring. In particular, the focus in this work is to develop software tools for optimal sensor placement (OSP) and use these tools to design optimal sensor network configuration for online condition monitoring of gasifier refractory wear and radiant syngas cooler (RSC) fouling. The methodology developed will be applicable to sensing system design for online condition monitoring for broad range of applications. The overall approach consists of (i) defining condition monitoring requirement in terms of OSP and mapping these requirements in mathematical terms for OSP algorithm, (ii) analyzing trade-off of alternate OSP algorithms, down selecting the most relevant ones and developing them for IGCC applications (iii) enhancing the gasifier and RSC models as required by OSP algorithms, (iv) applying the developed OSP algorithm to design the optimal sensor network required for the condition monitoring of an IGCC gasifier refractory and RSC fouling. Two key requirements for OSP for condition monitoring are desired precision for the monitoring variables (e.g. refractory wear) and reliability of the proposed sensor network in the presence of expected sensor failures. The OSP problem is naturally posed within a Kalman filtering approach as an integer programming problem where the key requirements of precision and reliability are imposed as constraints. The optimization is performed over the overall network cost. Based on extensive literature survey two formulations were identified as being relevant to OSP for condition monitoring; one based on LMI formulation and the other being standard INLP formulation. Various algorithms to solve these two formulations were developed and validated. For a given OSP problem the computation efficiency largely depends on the “size” of the problem. Initially a simplified 1-D gasifier model assuming axial and azimuthal symmetry was used to test out various OSP algorithms. Finally these algorithms were used to design the optimal sensor network for condition monitoring of IGCC gasifier refractory wear and RSC fouling. The sensors type and locations obtained as solution to the OSP problem were validated using model based sensing approach. The OSP algorithm has been developed in a modular form and has been packaged as a software tool for OSP design where a designer can explore various OSP design algorithm is a user friendly way. The OSP software tool is implemented in Matlab/Simulink© in-house. The tool also uses few optimization routines that are freely available on World Wide Web. In addition a modular Extended Kalman Filter (EKF) block has also been developed in Matlab/Simulink© which can be utilized for model based sensing of important process variables that are not directly measured through combining the online sensors with model based estimation once the hardware sensor and their locations has been finalized. The OSP algorithm details and the results of applying these algorithms to obtain optimal sensor location for condition monitoring of gasifier refractory wear and RSC fouling profile are summarized in this final report.

  20. muDog: Smart Monitoring Mechanism for Wireless Sensor Networks based on IEEE 802.15.4 MAC

    E-Print Network [OSTI]

    Boyer, Edmond

    @univ-mlv.fr Abstract--The resources in Wireless Sensor Networks (WSNs) are limited like energy and bandwidth which monitoring, objects localization, etc.). One of the main constraints of these networks is energy limitation protocol design and sensor network deployment. The energy limitation creates vulnerabilities

  1. EJSE Special Issue: Sensor Network on Building Monitoring: from theory to real application (2009)

    E-Print Network [OSTI]

    Halgamuge, Malka N.

    2009-01-01

    ) Building Automation Systems Using Wireless Sensor Networks: Radio Characteristics and Energy Efficient.nisha@unimelb.edu.au ABSTRACT: Building automation systems (BAS) are typically used to monitor and control heating, ventila INTRODUCTION Building automation systems (BAS) can be used in schools, hospitals, factories, offices and homes

  2. Energy and Bandwidth-Efficient Wireless Sensor Networks for Monitoring High-Frequency Events

    E-Print Network [OSTI]

    Wu, Jie

    to re- duced resource usage (e.g., energy, radio bandwidth) in WSNs. First, e-Sampling providesEnergy and Bandwidth-Efficient Wireless Sensor Networks for Monitoring High-Frequency Events Md Zakirul Alam Bhuiyan, Guojun Wang, Jiannong Cao, and Jie Wu§ School of Information Science and Engineering

  3. Demo Abstract: Wireless Sensor Network for Substation Monitoring: Design and Deployment

    E-Print Network [OSTI]

    Nasipuri, Asis

    -voltage substations, lower installation cost, and utilization of the distributed pro- cessing capabilities of wirelessDemo Abstract: Wireless Sensor Network for Substation Monitoring: Design and Deployment Asis-Transmissions & Substations 9625 Research Drive Charlotte, NC 28262 {lvanderz,birodriguez} @epri.com Ralph McKosky, Joseph

  4. Multi-Application Deployment in Shared Sensor Networks based on Quality of Monitoring

    E-Print Network [OSTI]

    Lu, Chenyang

    ], building automation [3], and integrated environmental monitoring [4]. For example, a smart building may in cyber-physical applications. Furthermore, UMADE provides an integrated system solution that supports testbed in the context of building automation applications. I. INTRODUCTION While wireless sensor networks

  5. Energy and task management in energy harvesting wireless sensor networks for structural health monitoring

    E-Print Network [OSTI]

    Steck, Jamie Bradley

    2009-01-01

    work in energy harvesting and wireless sensor networks.Management in Energy Harvesting Wireless Sensor Networks forapplied to SHiMmer, a wireless, energy-harvesting structural

  6. 60GHz Wireless Nano-Sensors Network for Structure Health Monitoring as Enabler for Safer, Greener Aircrafts

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    60GHz Wireless Nano-Sensors Network for Structure Health Monitoring as Enabler for Safer, Greener-objects for Structure Health Monitoring in the aircrafts and the improvements bring by the nanotechnologies. The main the cabin of an aircraft and the choice of the network architecture. Keywords: Structure Health Monitoring

  7. Use of sensors in monitoring civil structures

    E-Print Network [OSTI]

    Daher, Bassam William, 1979-

    2004-01-01

    This thesis surveys the use of sensors and sensor networks in monitoring civil structures, with particular emphasis on the monitoring of bridges and highways using fiber optic sensors. Following a brief review of the most ...

  8. PASSIVE ACOUSTIC SENSOR NETWORK LOCALIZATION; APPLICATION TO STRUCTURE GEOMETRY MONITORING

    E-Print Network [OSTI]

    Boyer, Edmond

    work in passive identification was conducted in structural health monitoring [6], acoustic [17] and seismology [2]. In structural health monitoring, applications were released to deter- mine structural and discussed. Experimental 7th European Workshop on Structural Health Monitoring July 8-11, 2014. La Cité

  9. Energy Ecient Monitoring in Sensor Networks Amol Deshpande y Samir Khuller zx Azarakhsh Malekian z Mohammed Toossi

    E-Print Network [OSTI]

    Khuller, Samir

    Energy EĆcient Monitoring in Sensor Networks #3; Amol Deshpande y Samir Khuller zx Azarakhsh Malekian z Mohammed Toossi Abstract In this paper we study a set of problems related to eĆ- cient energy Introduction EĆcient energy management in sensor networks is a primary challenge as we expect wireless de

  10. Comparing Trust Mechanisms for Monitoring Aggregator Nodes in Sensor Networks

    E-Print Network [OSTI]

    Sen, Sandip

    The University of Tulsa Tulsa, OK oly-mistry@utulsa.edu Anil Gürsel The University of Tulsa Tulsa, OK anil-gursel@utulsa.edu Sandip Sen The University of Tulsa Tulsa, OK sandip@utulsa.edu ABSTRACT Sensor nodes are often used

  11. Mobile sensor network to monitor wastewater collection pipelines

    E-Print Network [OSTI]

    Lim, Jungsoo

    2012-01-01

    37 6.10 IEEE 802.15.4 and ZigBee Protocol39 6.11 ZigBee network topologyJan. 2008. [77] Specification of ZigBee Technology). http://

  12. A Wireless Sensor Network for Pipeline Monitoring Ivan Stoianov

    E-Print Network [OSTI]

    supply pipelines and blockages and overflow events in sewer collectors cost millions of dollars a year with Boston Water and Sewer Commission in order to evaluate some of the critical components of PipeNet. Along and distribution water systems and monitoring the water level in sewer collectors. We are developing Pipe

  13. A Wireless Sensor Network for Structural Health Monitoring: Performance and Experience

    E-Print Network [OSTI]

    Paek, Jeongyeup; Chintalapudi, Krishna; Caffrey, John; Govindan, Ramesh; Masri, Sami

    2005-01-01

    ing Unit for Structural Health Monitoring. In Proc. of theNetwork for Structural Health Monitoring: Performance andIntroduction Structural Health Monitoring (SHM) focuses on

  14. Underground coal mine monitoring with wireless sensor networks - article no. 10

    SciTech Connect (OSTI)

    Li, M.; Liu, Y.H. [Hong Kong University of Science & Technology, Hong Kong (China)

    2009-03-15

    Environment monitoring in coal mines is an important application of wireless sensor networks (WSNs) that has commercial potential. We discuss the design of a Structure-Aware Self-Adaptive WSN system, SASA. By regulating the mesh sensor network deployment and formulating a collaborative mechanism based on a regular beacon strategy, SASA is able to rapidly detect structure variations caused by underground collapses. We further develop a sound and robust mechanism for efficiently handling queries under instable circumstances. A prototype is deployed in a real coal mine. We present our implementation experiences as well as the experimental results. To better evaluate the scalability and reliability of SASA, we also conduct a large-scale trace-driven simulation based on real data collected from the experiments.

  15. 1-4244-2575-4/08/$20.00 c 2008 IEEE Connectivity Monitoring in Wireless Sensor Networks

    E-Print Network [OSTI]

    Chan, Mun Choon

    of the network connectivity is crucial. In this paper, we propose a flexible and efficient connectivity transmission, limited energy resource, ad- hoc deployment and factors such as obstacles and move- ment1-4244-2575-4/08/$20.00 c 2008 IEEE Connectivity Monitoring in Wireless Sensor Networks Mingze

  16. Energy and task management in energy harvesting wireless sensor networks for structural health monitoring

    E-Print Network [OSTI]

    Steck, Jamie Bradley

    2009-01-01

    applied to SHiMmer, a wireless, energy-harvesting structuralthesis dis- cusses a wireless, energy-harvesting sensingManagement in Energy Harvesting Wireless Sensor Networks for

  17. Energy and task management in energy harvesting wireless sensor networks for structural health monitoring

    E-Print Network [OSTI]

    Steck, Jamie Bradley

    2009-01-01

    A wireless sensor network (WSN) is composed of a collectionmanagement used on systems, a WSN must have a method foras hardware advances and WSN demands expand. Energy

  18. Sensor networks represent new paradigm for reliable environment monitoring and infor-mation collection. They hold the promise of revolutionizing sensing in a wide range of

    E-Print Network [OSTI]

    Heinzelman, Wendi

    environment and air medium present error prone medium with low bandwidth. Thus, the protocols for sensorAbstract Sensor networks represent new paradigm for reliable environment monitoring and infor. Furthermore, in future smart environments, it is likely that sensor networks will play a key role in sensing

  19. SENVM: Server Environment Monitoring and Controlling System for a Small Data Center Using Wireless Sensor Network

    E-Print Network [OSTI]

    Choochaisri, Supasate; Jenjaturong, Saran; Intanagonwiwat, Chalermek; Ratanamahatana, Chotirat Ann

    2011-01-01

    In recent years, efficient energy utilization becomes an essential requirement for data centers, especially in data centers of world-leading companies, where "Green Data Center" defines a new term for an environment-concerned data center. Solutions to change existing a data center to the green one may vary. In the big company, high-cost approaches including re-planning server rooms, changing air-conditioners, buying low-powered servers, and equipping sophisticating environmental control equipments are possible, but not for small to medium enterprises (SMEs) and academic sectors which have limited budget. In this paper, we propose a novel system, SENVM, used to monitor and control air temperature in a server room to be in appropriate condition, not too cold, where very unnecessary cooling leads to unnecessary extra electricity expenses, and also inefficient in energy utilization. With implementing on an emerging technology, Wireless Sensor Network (WSN), Green Data Center is feasible to every small data center...

  20. Assessment of a Low Profi le Planar Antenna for a Wireless Sensor Network Monitoring the Local Water Distribution Network

    E-Print Network [OSTI]

    Herbert, Steven; Loh, Tian-Hong; Wassell, Ian

    2014-12-16

    ,” Wireless Sensor Systems, IET, vol. 2, no. 4, pp. 402– 408, December 2012. [3] A. Garcia, T. Tose, L. Ramalho, and D. Sicari, “Wireless sensor networks zigbee applied on sewage treatment station,” in Wireless Sensor Systems (WSS 2012), IET Conference on...

  1. Local Monitoring and Maintenance for Operational Wireless Sensor

    E-Print Network [OSTI]

    Wu, Jie

    Local Monitoring and Maintenance for Operational Wireless Sensor Networks Md Zakirul Alam Bhuiyan@gmail.com; csgjwang@gmail.com #12;Local Monitoring and Maintenance for Operational Wireless Sensor Networks 16 Monitoring and Maintenance for Operational Wireless Sensor Networks 16/7/2013 IEEE ISPA-13, Melbourne

  2. Markov Decision Processes for Control of a Sensor Network-based Health Monitoring System

    E-Print Network [OSTI]

    Panangadan, Anand

    @usc.edu, talukder@usc.edu Abstract Optimal use of energy is a primary concern in field- deployable sensor networks in dynamic environments by minimizing energy utilization while not compro- mising overall performance of the system. At every control step, the MDP controller varies the frequency at which the data is collected

  3. Monitoring Quality Maximization through Fair Rate Allocation in Harvesting Sensor Networks

    E-Print Network [OSTI]

    Liang, Weifa

    by reusable energy such as solar energy, wind energy, and so on, from their surroundings. We first formulate" for sensor networks is to harvest various energy from its surrounding environments such as solar energy, wind energy, electromagnetic waves energy, thermal energy, salinity gradients energy, vibration energy, and so

  4. Groundwater Monitoring Network

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Groundwater Monitoring Network Groundwater Monitoring Network The network includes 92 natural sources, 102 regional aquifer wells, 41 intermediate-depth wells and springs, and 67...

  5. Implementing a wireless base station for a sensor network

    E-Print Network [OSTI]

    Song, Heewon, 1977-

    2004-01-01

    Using wireless sensor networks for monitoring infrastructure is a new trend in civil engineering. Compared with traditional ways to monitor infrastructure, wireless sensor networks are cheap, safe, and compact. However, ...

  6. Sensor networks for social networks

    E-Print Network [OSTI]

    Farry, Michael P. (Michael Patrick)

    2006-01-01

    This thesis outlines the development of software that makes use of Bayesian belief networks and signal processing techniques to make meaningful inferences about real-world phenomena using data obtained from sensor networks. ...

  7. Health Monitoring of Drive Connected Three-Phase Induction Motors ----- From Wired Towards Wireless Sensor Networks

    E-Print Network [OSTI]

    Xue, Xin

    2009-01-01

    A Statistical Evaluation," in Sensor, Mesh and Ad Hocmotor. Wireless sensor spectrum Evaluation board spectruminside Wired sensor outside Evaluation board outside (b)

  8. Energy and task management in energy harvesting wireless sensor networks for structural health monitoring

    E-Print Network [OSTI]

    Steck, Jamie Bradley

    2009-01-01

    Chapter 3. Structural Health Monitoring . . . . . . . 1.3. Structural Health Monitoring . 4. Thesisoverview of wireless structural health monitoring for civil

  9. Condition Monitoring in End-Milling Using Wireless Sensor Networks (WSNs)

    E-Print Network [OSTI]

    Wright, Paul; Dornfeld, David; Ota, Nathan

    2008-01-01

    points of the analog MEMS sensor itself within its packagingCalibration of the MEMS Sensor The MEMS, capacitance-basedinexpensive retrofit of MEMS sensors to a standard machine.

  10. Condition Monitoring in End-Milling Using Wireless Sensor Networks (WSNs)

    E-Print Network [OSTI]

    Wright, Paul; Dornfeld, David; Ota, Nathan

    2008-01-01

    for low duty-cycle temperature monitoring in commercialto machine tool monitoring include temperature measurement

  11. Health Monitoring of Drive Connected Three-Phase Induction Motors ----- From Wired Towards Wireless Sensor Networks

    E-Print Network [OSTI]

    Xue, Xin

    2009-01-01

    including vibration monitoring, temperature monitoring,used in coil temperature monitoring [5]. Depending on theTemperature is widely monitored in electrical drives and generators. It provides valuable monitoring

  12. Health Monitoring of Drive Connected Three-Phase Induction Motors ----- From Wired Towards Wireless Sensor Networks

    E-Print Network [OSTI]

    Xue, Xin

    2009-01-01

    and structures," Structural Health Monitoring, vol. 3, p. W.principal concerns: Structural Health Monitoring (SHM), Non-

  13. A Study of Approximate Data Management Techniques for Sensor Networks

    E-Print Network [OSTI]

    Martin, Ralph R.

    the monitoring operation of sensor nodes by efficiently using their limited energy, bandwidth and computation. The network can therefore be treated as a distributed sensor data management system. Sensor networks differA Study of Approximate Data Management Techniques for Sensor Networks Adonis Skordylis, Niki

  14. Cognitive Radio Networks as Sensor Networks

    E-Print Network [OSTI]

    Bandari, Dorna; Yang, Seung R.; Zhao, Yue; Pottie, Gregory

    2007-01-01

    assuming the cognitive radios know their own coordinates.Networked Sensing Cognitive Radio Networks As SensorIntroduction: Cognitive Radio (CR) Networks The Need For

  15. Underwater Sensor Networks: Applications, Advances, and Challenges

    E-Print Network [OSTI]

    Heidemann, John

    communication, acoustic communication, underwater sensor networks, autonomous underwater vehicles, acoustic instrument monitoring, pollution control, climate recording, prediction of natural disturbances, search-alone applications and control of autonomous underwater vehicles (AUVs), and as an addition to ca- bled systems

  16. A primitive based approach for managing, deploying and monitoring in-building wireless sensor networks

    E-Print Network [OSTI]

    Dutta, Seemanta

    2012-01-01

    in building automation and industrial control. Computing &monitoring[17], home and industrial automation[5, 19, 23],

  17. Poster Abstract: Wireless Sensor Networks for Structural Health Sukun Kim, Shamim Pakzad, David Culler, James Demmel

    E-Print Network [OSTI]

    California at Berkeley, University of

    Poster Abstract: Wireless Sensor Networks for Structural Health Monitoring Sukun Kim, Shamim Pakzad Experimentation, Reliability, Design Keywords Wireless Sensor Networks, Structural Health Monitoring, Deployment, Large-Scale 1 Introduction Structural Health Monitoring (SHM) is estimating the state of structural

  18. Particle Sensor for Diesel Combustion Monitoring | Department...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Sensor for Diesel Combustion Monitoring Particle Sensor for Diesel Combustion Monitoring 2004 Diesel Engine Emissions Reduction (DEER) Conference Presentation: University of...

  19. Electrochemical NOx Sensor for Monitoring Diesel Emissions |...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Sensor for Monitoring Diesel Emissions Electrochemical NOx Sensor for Monitoring Diesel Emissions Presentation from the U.S. DOE Office of Vehicle Technologies "Mega" Merit Review...

  20. A Robotic Sensor Network for Monitoring Carp in Minnesota Lakes Deepak Bhadauria, Volkan Isler, Andrew Studenski and Pratap Tokekar

    E-Print Network [OSTI]

    Isler, Ibrahim Volkan

    localizing tagged fish. I. INTRODUCTION A Wireless Sensor Network (WSN) is a network of inexpensive, low Peter Sorensen, a leading expert of fish behavior with the Department of Fisheries, Wildlife. In order to study fish behavior, Dr. Sorensen's team tag carp with radio transmitters. The fish are caught

  1. Miniaturized wireless sensor network

    E-Print Network [OSTI]

    Lecointre, Aubin; Dubuc, David; Katia, Grenier; Patrick, Pons; Aubert, Hervé; Muller, A; Berthou, Pascal; Gayraud, Thierry; Plana, Robert

    2010-01-01

    This paper addresses an overview of the wireless sensor networks. It is shown that MEMS/NEMS technologies and SIP concept are well suited for advanced architectures. It is also shown analog architectures have to be compatible with digital signal techniques to develop smart network of microsystem.

  2. Modular sensor network node

    DOE Patents [OSTI]

    Davis, Jesse Harper Zehring (Berkeley, CA); Stark, Jr., Douglas Paul (Tracy, CA); Kershaw, Christopher Patrick (Hayward, CA); Kyker, Ronald Dean (Livermore, CA)

    2008-06-10

    A distributed wireless sensor network node is disclosed. The wireless sensor network node includes a plurality of sensor modules coupled to a system bus and configured to sense a parameter. The parameter may be an object, an event or any other parameter. The node collects data representative of the parameter. The node also includes a communication module coupled to the system bus and configured to allow the node to communicate with other nodes. The node also includes a processing module coupled to the system bus and adapted to receive the data from the sensor module and operable to analyze the data. The node also includes a power module connected to the system bus and operable to generate a regulated voltage.

  3. Three-Dimensional Routing in Underwater Acoustic Sensor Networks

    E-Print Network [OSTI]

    Pompili, Dario

    -ASN can perform pollu- tion monitoring (chemical, biological, and nuclear). ˘ Disaster Prevention. Sensor networks that measure seismic activity from remote locations can provide tsunami warnings to coastal areas

  4. Ultra-wideband radar sensors and networks

    DOE Patents [OSTI]

    Leach, Jr., Richard R; Nekoogar, Faranak; Haugen, Peter C

    2013-08-06

    Ultra wideband radar motion sensors strategically placed in an area of interest communicate with a wireless ad hoc network to provide remote area surveillance. Swept range impulse radar and a heart and respiration monitor combined with the motion sensor further improves discrimination.

  5. Dynamic sensor tasking in heterogeneous, mobile sensor networks

    E-Print Network [OSTI]

    Jones, Peter B. (Peter B.), S.M., Massachusetts Institute of Technology

    2005-01-01

    Modern sensor environments often attempt to combine several sensors into a single sensor network. The nodes of this network are generally heterogeneous and may vary with respect to sensor complexity, sensor operational ...

  6. A primitive based approach for managing, deploying and monitoring in-building wireless sensor networks

    E-Print Network [OSTI]

    Dutta, Seemanta

    2012-01-01

    5.2.23 Send ZigBee coordinator information . . . . 5.2.24command primitive . . . . . . sending ZigBee coordinator7.1 Securing the ZigBee network . . . . 7.2 Securing the

  7. Water Distribution System Monitoring and Decision Support Using a Wireless Sensor Network

    E-Print Network [OSTI]

    Allen, Michael

    Water distribution systems comprise labyrinthine networks of pipes, often in poor states of repair, that are buried beneath our city streets and relatively inaccessible. Engineers who manage these systems need reliable ...

  8. Wireless sensor networks for measuring traffic

    E-Print Network [OSTI]

    Varaiya, Pravin

    Wireless sensor networks for measuring traffic University of California, Berkeley Sing Yiu Cheung, Sinem Coleri, and Pravin Varaiya 2 Outline · Traffic measurement · Wireless Sensor Networks · Vehicle wireless sensor networks compete? 7 Outline · Traffic measurement · Wireless Sensor Networks · Vehicle

  9. ireless networks of sensors greatly extend our ability to monitor and control the physical

    E-Print Network [OSTI]

    Bulusu, Nirupama

    , and artificial systems. Applica- tions include environmental monitoring of water and soil, tagging small animals need to be able to localize within a fair- ly low response time. · Low energy: Small untethered nodes have modest processing capabilities and limited energy resources. If a device uses all its energy

  10. DICE: Monitoring Global Invariants with Wireless Sensor Networks S TEFAN GUN A, University of Trento, Italy

    E-Print Network [OSTI]

    Picco, Gian Pietro

    ., 2 Penn Plaza, Suite 701, New York, NY 10121-0701 USA, fax +1 (212) 869-0481, or permissions sensed environ- mental conditions. Our modular design allows two alternative protocols for detecting violations are detected in a timely and energy-efficient manner. For instance, in a 225-node 15-hop network

  11. Progress In Electromagnetics Research M, Vol. 37, 1120, 2014 Energy Optimized Wireless Sensor Network for Monitoring inside

    E-Print Network [OSTI]

    Halgamuge, Malka N.

    . INTRODUCTION Building Automation System (BAS) challenges to monitor and have automatic control of the security, ventilation, and air conditioning (HVAC) systems, the management of building facilities (such as lightingProgress In Electromagnetics Research M, Vol. 37, 11­20, 2014 Energy Optimized Wireless Sensor

  12. An Environmental Monitoring System with Integrated Wired and Wireless Sensors

    E-Print Network [OSTI]

    Huang, Yan

    76207, USA {jy0074,cz0022,xinrong,huangyan,fu,acevedo}@unt.edu Abstract. Wireless sensor networks (WSN sensor networks (WSN) [1,2]. Ecological and environmental scientists have been developing a cyber ecosystem. WSN-based envi- ronmental monitoring systems promise to enable domain scientists to work

  13. Distributed Boundary Estimation using Sensor Networks

    E-Print Network [OSTI]

    Ramamritham, Krithi

    where such boundaries need to be detected include monitoring the spread of toxic gases [1], oil spills in oceans [2], or even tracking storm cloud front. Oil companies are interested in deploying off-shore sensor networks to monitor the area where oil spills normally happen. The focus in these cases

  14. A Retasking Framework For Wireless Sensor Networks

    E-Print Network [OSTI]

    Weigle, Michele

    used in scientific research, industrial manufacturing, and environmental monitoring over the past-effective. In this paper, we present Alert, a software framework for retasking wireless sensor networks, enabling, built upon Deluge [1], is a wireless network code distribution protocol enabling node group management

  15. `On a Tracking Scheme with Probabilistic Completeness for a Distributed Sensor Network

    E-Print Network [OSTI]

    Hexmoor, Henry

    presented the results of endowing the sensor network with autonomy. Sensors monitor targets that crisscross modeled through fuzzy rules [1]. The sensor further decides if it would monitor the target by remaining

  16. The Tenet Architecture for Tiered Sensor Networks

    E-Print Network [OSTI]

    2006-01-01

    a sensor network architecture: Lowering the waistline. InJ. Hill et al. System architecture directions for networkThe Tenet Architecture for Tiered Sensor Networks Omprakash

  17. Handling Failures of Static Sensor Nodes in Wireless Sensor Network by Use of Mobile Sensors

    E-Print Network [OSTI]

    Wagner, Flávio Rech

    usage and applicability of Wireless Sensor Networks (WSN) [1] [2]. Nevertheless, sensor nodes can fail, and influence WSN dependability [3]. In order to face this problem, and exploring the fact that WSN use several of nodes that in general compose a WSN provides good results. Neighbor nodes can monitor each others

  18. Sensor-Aided Overlay Deployment and Relocation for Vast-Scale Sensor Networks

    E-Print Network [OSTI]

    Qiao, Daji

    a wireless sensor network is to monitor a target field and, upon occurrence of events of interest, to deliver are deployed to monitor a huge target area. Moreover, due to the funneling effect, it becomes more difficult

  19. Perimeter Coverage Made Practical in Wireless Sensor Networks

    E-Print Network [OSTI]

    Tam, Vincent W. L.

    the minimum set of sensors and the set of sensors with the minimum cost to monitor the target. Unfortunately (MC). By using MC to monitor the target object, the energy expenditure is minimal. In [9], Chow et. al-related cost metrics, using MCC to monitor the target object maybe more effective in maximizing the network

  20. Sensor Networks: Distributed Algorithms Reloaded or Revolutions?

    E-Print Network [OSTI]

    Sensor Networks: Distributed Algorithms Reloaded ­ or Revolutions? Roger Wattenhofer Computer. This paper wants to motivate the distributed algorithms community to study sensor networks. We discuss why community, a sensor network essentially is ­ a database. The distributed algorithms community should join

  1. Scalable Coordination in Sensor Networks Deborah Estrin

    E-Print Network [OSTI]

    Heidemann, John

    and monitoring the terrain amongst them- selves in an energy-e#30;cient manner, adapt their overall sensing accuracy to the remaining total resources, and re-organize upon sensor failure. When additional sen- sors- derlying the design of services and applications in sen- sor networks. In particular, since the sensing

  2. Scheduling Sensor Activity for Point Information Coverage in Wireless Sensor Networks

    E-Print Network [OSTI]

    Srinivasan, Vikram

    , to monitor some targets of interests at all times. Sensors are often equipped with non-rechargeable batteries such that all targets can be monitored all the time and the network can operate as long as possible. A solution network is the coverage problem [2], which addresses how well a target area is monitored. In some

  3. Wireless Sensor Networks for Healthcare

    E-Print Network [OSTI]

    Lu, Chenyang

    INVITED P A P E R Wireless Sensor Networks for Healthcare In healthcare, there is a strong need, wireless sensor networks for healthcare have emerged in the recent years. In this review, we present some representative applications in the healthcare domain and describe the challenges they introduce to wireless

  4. Deployment and organization strategies for sampling- interpolation sensor networks

    E-Print Network [OSTI]

    Liaskovitis, Periklis G.

    2009-01-01

    Conference on Intelligent Sensors, Sensor Networks andConference on Intelligent Sensors, Sensor Networks andprice: sensor placements ought to be done in an intelligent

  5. Radionuclide Sensors for Water Monitoring

    SciTech Connect (OSTI)

    Grate, Jay W.; Egorov, Oleg B.; DeVol, Timothy A.

    2004-06-29

    Radionuclide contamination in the soil and groundwater at U.S. Department of Energy (DOE) sites is a severe problem that requires monitoring and remediation. Radionuclide measurement techniques are needed to monitor surface waters, groundwater, and process waters. Typically, water samples are collected and transported to an analytical laboratory, where costly radiochemical analyses are performed. To date, there has been very little development of selective radionuclide sensors for alpha- and beta-emitting radionuclides such as 90Sr, 99Tc, and various actinides of interest. The objective of this project is to investigate novel sensor concepts and materials for sensitive and selective determination of beta- and alpha-emitting radionuclide contaminants in water. To meet the requirements for low-level, isotope-specific detection, the proposed sensors are based on radiometric detection. As a means to address the fundamental challenge of the short ranges of beta and alpha particle s in water, our overall approach is based on localization of preconcentration/separation chemistries directly on or within the active area of a radioactivity detector. Automated microfluidics is used for sample manipulation and sensor regeneration or renewal. The outcome of these investigations will be the knowledge necessary to choose appropriate chemistries for selective preconcentration of radionuclides from environmental samples, new materials that combine chemical selectivity with scintillating properties, new materials that add chemical selectivity to solid-state diode detectors, new preconcentrating column sensors, and improved instrumentation and signal processing for selective radionuclide sensors. New knowledge will provide the basis for designing effective probes and instrumentation for field and in situ measurements.

  6. Radionuclide Sensors for Water Monitoring

    SciTech Connect (OSTI)

    Grate, Jay W.; Egorov, Oleg B.; DeVol, Timothy A.

    2003-06-01

    Radionuclide contamination in the soil and groundwater at U.S. Department of Energy (DOE) sites is a severe problem that requires monitoring and remediation. Radionuclide measurement techniques are needed to monitor surface waters, groundwater, and process waters. Typically, water samples are collected and transported to an analytical laboratory, where costly radiochemical analyses are performed. To date, there has been very little development of selective radionuclide sensors for alpha- and beta-emitting radionuclides such as 90Sr, 99Tc, and various actinides of interest. The objective of this project is to investigate novel sensor concepts and materials for sensitive and selective determination of beta- and alpha-emitting radionuclide contaminants in water. To meet the requirements for low-level, isotope-specific detection, the proposed sensors are based on radiometric detection. As a means to address the fundamental challenge of the short ranges of beta and alpha particles in water, our overall approach is based on localization of preconcentration/separation chemistries directly on or within the active area of a radioactivity detector. Automated microfluidics is used for sample manipulation and sensor regeneration or renewal. The outcome of these investigations will be the knowledge necessary to choose appropriate chemistries for selective preconcentration of radionuclides from environmental samples, new materials that combine chemical selectivity with scintillating properties, new materials that add chemical selectivity to solid-state diode detectors, new preconcentrating column sensors, and improved instrumentation and signal processing for selective radionuclide sensors. New knowledge will provide the basis for designing effective probes and instrumentation for field and in situ measurements.

  7. New Sensor Network Technology Increases Manufacturing Efficiency...

    Office of Environmental Management (EM)

    Sensor Network Technology Increases Manufacturing Efficiency New Sensor Network Technology Increases Manufacturing Efficiency April 11, 2013 - 12:00am Addthis EERE supported Eaton...

  8. Harnessing Smart Sensor Technology for Industrial Energy Efficiency- Making Process-Specific Efficiency Projects Cost Effective with a Broadly Configurable, Network-Enabled Monitoring Tool 

    E-Print Network [OSTI]

    Wiczer, J. J.; Wiczer, M. B.

    2011-01-01

    To improve monitoring technology often re-quired by industrial energy efficiency projects, we have developed a set of power and process monitoring tools based on the IEEE 1451.2 smart sensor interface standard. These tools enable a wide...

  9. Energy savings in wireless ad hoc sensor networks as a result of network synchronisation

    E-Print Network [OSTI]

    Haddadi, Hamed

    Energy savings in wireless ad hoc sensor networks as a result of network synchronisation Antonio of oceanographic monitoring using a collegiate-managed autonomous network of energy-conscious wireless sensors. We-to-node synchronised transmissions in order to reduce overhearing and therefore reduce energy expenses. SSSNP (Self

  10. INSIGHT: Internet-Sensor Integration for Habitat Monitoring Murat Demirbas Ken Yian Chow Chieh Shyan Wan

    E-Print Network [OSTI]

    Krovi, Venkat

    strength monitoring system, we investigate monitoring of a controlled, small environment via WSN. We seeINSIGHT: Internet-Sensor Integration for Habitat Monitoring Murat Demirbas Ken Yian Chow Chieh, and deploying of an Internet accessible wireless sensor network for monitoring of the temperature, humidity

  11. Sensor Grid: Integration of Wireless Sensor Networks and the Grid

    E-Print Network [OSTI]

    Teo, Yong-Meng

    With the convergence of technologies such as MEMS sensor devices, wireless networking, and low-power em- beddedSensor Grid: Integration of Wireless Sensor Networks and the Grid Hock Beng Lim1 , Yong Meng Teo1 Microsystems, Inc. E-mail: [limhb, teoym]@comp.nus.edu.sg Abstract Wireless sensor networks have emerged

  12. Embedded Damage Detection in Water Pipelines Using Wireless Sensor Networks

    E-Print Network [OSTI]

    Shinozuka, Masanobu

    Embedded Damage Detection in Water Pipelines Using Wireless Sensor Networks Hadil Mustafa real-time detec- tion algorithm for detecting rupture events in water pipelines noninvasively reducing the total energy consumption significantly. Index Terms--Water pipeline monitoring, ruptures

  13. Scalable and Robust Data Dissemination in Wireless Sensor Networks

    E-Print Network [OSTI]

    Fang, Yuguang "Michael"

    , medical monitoring, logistics and inventory man- agement, and military reconnaissance, etc. While many to be a good candidate for sensor networks because it does not involve costly topology maintenance and complex

  14. Multipurpose Acoustic Sensor for Downhole Fluid Monitoring |...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Geothermal Ultrasonic Fracture Imager Waveguide-based Ultrasonic and Far-field Electromagnetic Sensors for Downhole Reservoir Characterization High Temperature ESP Monitoring...

  15. Characterization, Monitoring, and Sensor Technologies - Teaming...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Characterization, Monitoring, and Sensor Technologies - Teaming with DOE to Develop, Transfer, and Deploy Technologies Ames Laboratory scientists are contributing their expertise...

  16. Electrochemical NOx Sensor for Monitoring Diesel Emissions

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    of oxide electrodes * Decision point: Down select to metal or electronically- conducting oxide electrodes Electrochemical NO x Sensor for Monitoring Diesel Emissions 17 Plans for...

  17. Improving energy efficiency in wireless sensor networks through scheduling and routing

    E-Print Network [OSTI]

    R, Rathna; 10.5121/ijassn.2012.2103

    2012-01-01

    This paper is about the wireless sensor network in environmental monitoring applications. A Wireless Sensor Network consists of many sensor nodes and a base station. The number and type of sensor nodes and the design protocols for any wireless sensor network is application specific. The sensor data in this application may be light intensity, temperature, pressure, humidity and their variations .Clustering and routing are the two areas which are given more attention in this paper.

  18. High Performance Network Monitoring

    SciTech Connect (OSTI)

    Martinez, Jesse E

    2012-08-10

    Network Monitoring requires a substantial use of data and error analysis to overcome issues with clusters. Zenoss and Splunk help to monitor system log messages that are reporting issues about the clusters to monitoring services. Infiniband infrastructure on a number of clusters upgraded to ibmon2. ibmon2 requires different filters to report errors to system administrators. Focus for this summer is to: (1) Implement ibmon2 filters on monitoring boxes to report system errors to system administrators using Zenoss and Splunk; (2) Modify and improve scripts for monitoring and administrative usage; (3) Learn more about networks including services and maintenance for high performance computing systems; and (4) Gain a life experience working with professionals under real world situations. Filters were created to account for clusters running ibmon2 v1.0.0-1 10 Filters currently implemented for ibmon2 using Python. Filters look for threshold of port counters. Over certain counts, filters report errors to on-call system administrators and modifies grid to show local host with issue.

  19. Characterization monitoring & sensor technology crosscutting program

    SciTech Connect (OSTI)

    NONE

    1996-08-01

    The purpose of the Characterization, Monitoring, and Sensor Technology Crosscutting Program (CMST-CP) is to deliver appropriate characterization, monitoring, and sensor technology (CMST) to the OFfice of Waste Management (EM-30), the Office of Environmental Restoration (EM-40), and the Office of Facility Transition and Management (EM-60).

  20. Rethinking Data Fusion-Based Services in Tiered Sensor Networks

    E-Print Network [OSTI]

    Dantu, Karthik; Sukhatme, Gaurav

    2006-01-01

    conference on Embedded networked sensor systems, New York,conference on Embedded networked sensor systems, New York,Conference on Embedded Networked Sensor Systems, 2003, pp.

  1. Secure Routing in Wireless Sensor Networks: Attacks and Countermeasures

    E-Print Network [OSTI]

    California at Berkeley, University of

    sensor networks, introduce two classes of novel attacks against sensor networks --- sinkholes and HELLO two novel classes of previously undoc­ umented attacks against sensor networks 1 -- sinkhole attacks

  2. Secure Routing in Wireless Sensor Networks: Attacks and Countermeasures

    E-Print Network [OSTI]

    Wagner, David

    sensor networks, introduce two classes of novel attacks against sensor networks --- sinkholes and HELLO­ umented attacks against sensor networks 1 -- sinkhole attacks and HELLO floods. #15; We show

  3. Ferry-Based Linear Wireless Sensor Networks

    E-Print Network [OSTI]

    Wu, Jie

    Networks Existing wireless sensor network research Assumption that the network used for sensors does of oil, gas, and water pipeline infrastructure using wireless sensor networks. #12;IEEE Globecom 2013 UAE (2006): 2,580 Km of gas pipelines 2,950 Km of oil pipelines 156 Km of refined products

  4. The Tenet Architecture for Tiered Sensor Networks

    E-Print Network [OSTI]

    2006-01-01

    architec- ture for structural health monitoring. In S. -C.network for structural health monitoring: Performance and

  5. Energy Harvesting for Structural Health Monitoring Sensor Gyuhae Park1

    E-Print Network [OSTI]

    Simunic, Tajana

    for large-scale alternative energy generation using wind turbines and solar cells is mature technologyEnergy Harvesting for Structural Health Monitoring Sensor Networks Gyuhae Park1 , Tajana Rosing2 of California, San Diego La Jolla, CA 92093-0701 ABSTRACT This paper reviews the development of energy

  6. Revisiting Smart Dust with RFID Sensor Networks Michael Buettner

    E-Print Network [OSTI]

    Hochberg, Michael

    of applications such as dense environmental monitoring, sensor rich home automation and smart environmentsRevisiting Smart Dust with RFID Sensor Networks Michael Buettner University of Washington Ben and computation platforms that leverage RFID technology can realize "smart-dust" ap- plications that have eluded

  7. Challenges for Efficient Communication in Underwater Acoustic Sensor Networks

    E-Print Network [OSTI]

    Pompili, Dario

    for oceano- graphic data collection, pollution monitoring, offshore explo- ration and tactical surveillance applications. Moreover, Un- manned or Autonomous Underwater Vehicles (UUVs, AUVs), equipped with sensors for these applications. Underwater Networks consist of a variable number of sensors and vehicles that are deployed

  8. Wireless Sensor Networks: The Protocol Stack Iowa State University

    E-Print Network [OSTI]

    McCalley, James D.

    Wireless Sensor Networks: The Protocol Stack Mat Wymore Iowa State University Wind Energy Science Design an anycast WSN for a wind turbine SHM application that is very energy efficient. meets reliability for turbine structural health monitoring Are composed of sensor nodes Are very resource constrained

  9. Issues in autonomous mobile sensor networks 

    E-Print Network [OSTI]

    Dharne, Avinash Gopal

    2009-05-15

    Autonomous mobile sensor networks consist of a number of autonomous mobile robots equipped with various sensors and tasked with a common mission. This thesis considers the topology control of such an ad hoc mobile sensor ...

  10. On the robustness of clustered sensor networks 

    E-Print Network [OSTI]

    Cho, Jung Jin

    2009-05-15

    or fault tolerance capability of a sensor system. The redundancy degree of sensors plays two important roles pertaining to the robustness of a sensor network. First, the redundancy degree provides proper parameter values for robust estimator; second, we can...

  11. Gas Main Sensor and Communications Network System

    SciTech Connect (OSTI)

    Hagen Schempf

    2006-05-31

    Automatika, Inc. was contracted by the Department of Energy (DOE) and with co-funding from the Northeast Gas Association (NGA), to develop an in-pipe natural gas prototype measurement and wireless communications system for assessing and monitoring distribution networks. This projected was completed in April 2006, and culminated in the installation of more than 2 dozen GasNet nodes in both low- and high-pressure cast-iron and steel mains owned by multiple utilities in the northeastern US. Utilities are currently logging data (off-line) and monitoring data in real time from single and multiple networked sensors over cellular networks and collecting data using wireless bluetooth PDA systems. The system was designed to be modular, using in-pipe sensor-wands capable of measuring, flow, pressure, temperature, water-content and vibration. Internal antennae allowed for the use of the pipe-internals as a waveguide for setting up a sensor network to collect data from multiple nodes simultaneously. Sensor nodes were designed to be installed with low- and no-blow techniques and tools. Using a multi-drop bus technique with a custom protocol, all electronics were designed to be buriable and allow for on-board data-collection (SD-card), wireless relaying and cellular network forwarding. Installation options afforded by the design included direct-burial and external polemounted variants. Power was provided by one or more batteries, direct AC-power (Class I Div.2) and solar-array. The utilities are currently in a data-collection phase and intend to use the collected (and processed) data to make capital improvement decisions, compare it to Stoner model predictions and evaluate the use of such a system for future expansion, technology-improvement and commercialization starting later in 2006.

  12. Adaptive sampling in autonomous marine sensor networks

    E-Print Network [OSTI]

    Eickstedt, Donald Patrick

    2006-01-01

    In this thesis, an innovative architecture for real-time adaptive and cooperative control of autonomous sensor platforms in a marine sensor network is described in the context of the autonomous oceanographic network scenario. ...

  13. Underwater Data Collection Using Robotic Sensor Networks

    E-Print Network [OSTI]

    Hollinger, Geoffrey A.

    We examine the problem of utilizing an autonomous underwater vehicle (AUV) to collect data from an underwater sensor network. The sensors in the network are equipped with acoustic modems that provide noisy, range-limited ...

  14. FUNDAMENTAL PERFORMANCE LIMITS OF WIRELESS SENSOR NETWORKS

    E-Print Network [OSTI]

    Li, Baochun

    FUNDAMENTAL PERFORMANCE LIMITS OF WIRELESS SENSOR NETWORKS ZHIHUA HU, BAOCHUN LI Abstract. Understanding the fundamental performance limits of wireless sensor networks is critical towards. In addition to presenting the general results with respect to the maximum sustainable throughput of wireless

  15. Sensor network localization based on natural phenomena

    E-Print Network [OSTI]

    Kim, Daniel Sang

    2006-01-01

    Autonomous localization is crucial for many sensor network applications. The goal of this thesis is to develop a distributed localization algorithm for the PLUG indoor sensor network by analyzing sound and light sensory ...

  16. Wireless Sensor Network Energy Conversation Nathan A. Menhorn

    E-Print Network [OSTI]

    Overview Wireless sensor networks (WSN), which combine advanced sensing and networking techniques of a WSN for the surveillance of unknown regions [1], while the agriculture industry could take advantage of a WSN that monitors the soil hydration levels in order to optimize watering [3]. A short list [4

  17. Progress In Electromagnetics Research M, Vol. 37, 1120, 2014 Energy Optimized Wireless Sensor Network for Monitoring inside

    E-Print Network [OSTI]

    Halgamuge, Malka N.

    , such as the ones used for monitoring humidity, temperature, light intensity and air quality (CO and CO2 level distribution in an indoor building environment (single storey as well as multi-storey buildings) to investigate

  18. Secure routing in wireless sensor networks: attacks and countermeasures

    E-Print Network [OSTI]

    Xu, Wenyuan

    against sensor networks, introduce two classes of novel attacks against sensor networks­­sinkholes two novel classes of previously undocumented attacks against sensor net- works 1 ­­sinkhole attacks

  19. Converging Redundant Sensor Network Information for Improved Building Control

    SciTech Connect (OSTI)

    Dale K. Tiller; Gregor P. Henze

    2005-12-01

    This project is investigating the development and application of sensor networks to enhance building energy management and security. Commercial, industrial and residential buildings often incorporate systems used to determine occupancy, but current sensor technology and control algorithms limit the effectiveness of these systems. For example, most of these systems rely on single monitoring points to detect occupancy, when more than one monitoring point would improve system performance. Phase I of the project focused on instrumentation and data collection. In Phase I, a new occupancy detection system was developed, commissioned and installed in a sample of private offices and open-plan office workstations. Data acquisition systems were developed and deployed to collect data on space occupancy profiles. In phase II of the project, described in this report, we demonstrate that a network of several sensors provides a more accurate measure of occupancy than is possible using systems based on single monitoring points. We also establish that analysis algorithms can be applied to the sensor network data stream to improve the accuracy of system performance in energy management and security applications, and show that it may be possible to use sensor network pulse rate to distinguish the number of occupants in a space. Finally, in this phase of the project we also developed a prototype web-based display that portrays the current status of each detector in a sensor network monitoring building occupancy. This basic capability will be extended in the future by applying an algorithm-based inference to the sensor network data stream, so that the web page displays the likelihood that each monitored office or area is occupied, as a supplement to the actual status of each sensor.

  20. General Network Lifetime and Cost Models for Evaluating Sensor Network

    E-Print Network [OSTI]

    Heinzelman, Wendi

    General Network Lifetime and Cost Models for Evaluating Sensor Network Deployment Strategies Zhao Cheng, Mark Perillo, and Wendi B. Heinzelman, Senior Member, IEEE Abstract--In multihop wireless sensor to energy imbalance among sensors often appear. Sensors closer to a data sink are usually required

  1. Data Collection Maximization in Renewable Sensor Networks via Time-Slot Scheduling

    E-Print Network [OSTI]

    Liang, Weifa

    perpetually, eliminating the cost for batteries [19]. In this paper, we consider an energy renewable sensorData Collection Maximization in Renewable Sensor Networks via Time-Slot Scheduling Xiaojiang Ren data collection in an energy renewable sensor network for scenarios such as traffic monitoring on busy

  2. Converging Redundant Sensor Network Information for Improved Building Control

    SciTech Connect (OSTI)

    Dale Tiller; D. Phil; Gregor Henze; Xin Guo

    2007-09-30

    This project investigated the development and application of sensor networks to enhance building energy management and security. Commercial, industrial and residential buildings often incorporate systems used to determine occupancy, but current sensor technology and control algorithms limit the effectiveness of these systems. For example, most of these systems rely on single monitoring points to detect occupancy, when more than one monitoring point could improve system performance. Phase I of the project focused on instrumentation and data collection. During the initial project phase, a new occupancy detection system was developed, commissioned and installed in a sample of private offices and open-plan office workstations. Data acquisition systems were developed and deployed to collect data on space occupancy profiles. Phase II of the project demonstrated that a network of several sensors provides a more accurate measure of occupancy than is possible using systems based on single monitoring points. This phase also established that analysis algorithms could be applied to the sensor network data stream to improve the accuracy of system performance in energy management and security applications. In Phase III of the project, the sensor network from Phase I was complemented by a control strategy developed based on the results from the first two project phases: this controller was implemented in a small sample of work areas, and applied to lighting control. Two additional technologies were developed in the course of completing the project. A prototype web-based display that portrays the current status of each detector in a sensor network monitoring building occupancy was designed and implemented. A new capability that enables occupancy sensors in a sensor network to dynamically set the 'time delay' interval based on ongoing occupant behavior in the space was also designed and implemented.

  3. Building Adaptable Sensor Networks with Sensor Cubes

    E-Print Network [OSTI]

    Roussos, George

    (battery voltage, charge/discharge current, input power, ...) Wireless link: · To nearby sensor modules of autonomous wireless sensor module Alternative hardware implementation using solder ball interconnect technology Wireless sensor module on 2 EUR coin Sensor module hardware Wide application range requires

  4. The use of electrochemical sensors for monitoring urban air quality in low-cost, high-density networks.

    E-Print Network [OSTI]

    Mead, M. I.; Popoola, O. A. M.; Stewart, G. B.; Landshoff, P.; Calleja, M.; Hayes, M.; Baldovi, J. J.; Hodgson, T. F.; McLeod, M. W.; Dicks, J.; Lewis, A.; Cohen, J.; Baron, R.; Saffell, J. R.; Jones, R. L.

    interference, although there is still a downward bias of ~ 20%. ECC Sensor NO gain NO R2 NO2 gradient (uncorrected) NO2 gradient (corrected) NO2 R2 1 0.97 ± 0.04 0.80 0.36 ± 0.02 0.81 ± 0.03 0.89 2 1.00 ± 0.06 0.95 0.38 ± 0.02 0.81 ± 0.03 0.92 Table 3... . R. Saffell6, and R. L. Jones1*. 1 University Chemical Laboratory, University of Cambridge, Lensfield Road, Cambridge, CB2 1EW, UK. 2 Cambridge eScience Centre, Cavendish Laboratory, J. J. Thomson Avenue, Cambridge, CB3 0HE, UK. 3 Centre...

  5. Mobile Zigbee Sensor Networks

    E-Print Network [OSTI]

    Anantdeep, Er; Kaur, Er Balpreet

    2010-01-01

    OPNET Modeler accelerates network R&D and improves product quality through high-fidelity modeling and scalable simulation. It provides a virtual environment for designing protocols and devices, and for testing and demonstrating designs in realistic scenarios prior to production. OPNET Modeler supports 802.15.4 standard and has been used to make a model of PAN. Iterations have been performed by changing the Power of the transmitter and the throughput will has been analyzed to arrive at optimal values.An energy-efficient wireless home network based on IEEE 802.15.4, a novel architecture has been proposed. In this architecture, all nodes are classified into stationary nodes and mobile nodes according to the functionality of each node. Mobile nodes are usually battery-powered, and therefore need low-power operation. In order to improve power consumption of mobile nodes, effective handover sequence based on MAC broadcast and transmission power control based on LQ (link quality) are employed. Experimental resul...

  6. Millimeter wave sensor for monitoring effluents

    DOE Patents [OSTI]

    Gopalsami, Nachappa (Naperville, IL); Bakhtiari, Sasan (Bolingbrook, IL); Raptis, Apostolos C. (Downers Grove, IL); Dieckman, Stephen L. (Downers Grove, IL)

    1995-01-01

    A millimeter-wave sensor for detecting and measuring effluents from processing plants either remotely or on-site includes a high frequency signal source for transmitting frequency-modulated continuous waves in the millimeter or submillimeter range with a wide sweep capability and a computer-controlled detector for detecting a plurality of species of effluents on a real time basis. A high resolution spectrum of an effluent, or effluents, is generated by a deconvolution of the measured spectra resulting in a narrowing of the line widths by 2 or 3 orders of magnitude as compared with the pressure broadened spectra detected at atmospheric pressure for improved spectral specificity and measurement sensitivity. The sensor is particularly adapted for remote monitoring such as where access is limited or sensor cost restricts multiple sensors as well as for large area monitoring under nearly all weather conditions.

  7. MEMS Materials and Temperature Sensors for Down Hole Geothermal System Monitoring

    E-Print Network [OSTI]

    Wodin-Schwartz, Sarah

    2013-01-01

    Monitoring Geothermal Environments . . . . . . . . . . . . . . . . . . . . . . . . . . . .down hole environment monitoring. Harsh environment sensorsfor Geothermal Monitoring Harsh environment MEMS sensors

  8. Multiresolution Storage and Search in Sensor Networks

    E-Print Network [OSTI]

    Heidemann, John

    battery-operated nodes. Constructing a storage and search system that satisfies the requirements of dataMultiresolution Storage and Search in Sensor Networks DEEPAK GANESAN University of Massachusetts in wireless sensor networks: in-network storage and distributed search. The need for these techniques arises

  9. International Workshop on Structural Control, Columbia University, New York, June 2004. Networked Sensing for Structural Health Monitoring

    E-Print Network [OSTI]

    Govindan, Ramesh

    . Networked Sensing for Structural Health Monitoring John Caffrey, Ramesh Govindan, Erik Johnson, Bhaskar networked sensing for structural health monitoring applications. The vision is of many low-power sensor and algorithms for distributed wireless sensor/actuator structural health monitoring networks. INTRODUCTION

  10. Ivan Stojmenovic 1 Wireless Sensor Networks

    E-Print Network [OSTI]

    Stojmenovic, Ivan

    Flood detection Ivan Stojmenovic 8 Forest Fires · Provide finer granularity weather data via sensor networks · Improved prediction and management of forest fires · Univ. Colorado at Boulders (Rick Han

  11. In-Networks Spatial Query Estimation in Sensor Networks Silvia Nittel, Guang Jin, Yoh Shiraishi

    E-Print Network [OSTI]

    Nittel, Silvia

    University of Maine Orono, ME 04469-5711, USA nittel, jin@spatial.maine.edu Abstract Recently technology to monitor discrete and continuous phenomena in physical space. From a database perspective, a sensor network, we have developed instruments to monitor and observe the world in ways that are not obvious

  12. Mobility in Wireless Sensor Networks

    E-Print Network [OSTI]

    Mehta, Ankur Mukesh

    2012-01-01

    sensing, composed of 3 MEMS sensors. Angular yaw rate wasIn particular, as the MEMS sensor suppliers release everwhich utilizes miniature MEMS sensor technology. It combines

  13. Robust Clock Synchronization in Wireless Sensor Networks 

    E-Print Network [OSTI]

    Saibua, Sawin

    2010-10-12

    Clock synchronization between any two nodes in a Wireless Sensor Network (WSNs) is generally accomplished through exchanging messages and adjusting clock offset and skew parameters of each node’s clock. To cope with unknown network message delays...

  14. A monitoring sensor management system for grid environments

    E-Print Network [OSTI]

    Tierney, Brian; Crowley, Brian; Gunter, Dan; Lee, Jason; Thompson, Mary

    2001-01-01

    A Monitoring Sensor Management System for Grid Environmentsof a Grid environment. 1.1 Monitoring Agents For thismonitoring data management system within a Grid environment.

  15. WIRELESS SENSOR NETWORK BASED CONTROL SYSTEM CONCIDERING COMMUNICATION COST

    E-Print Network [OSTI]

    WIRELESS SENSOR NETWORK BASED CONTROL SYSTEM CONCIDERING COMMUNICATION COST Yutaka Iino* Takeshi for wireless sensor network based control system, minimizing communication energy consumption. Some control, wireless sensor network technology has been developed rapidly, and various applications to control system

  16. Multipurpose Acoustic Sensor for Downhole Fluid Monitoring

    SciTech Connect (OSTI)

    Pantea, Cristian

    2012-05-04

    The projects objectives and purpose are to: (1) development a multipurpose acoustic sensor for downhole fluid monitoring in Enhanced Geothermal Systems (EGS) reservoirs over typical ranges of pressures and temperatures and demonstrate its capabilities and performance for different EGS systems; (2) determine in real-time and in a single sensor package several parameters - temperature, pressure, fluid flow and fluid properties; (3) needed in nearly every phase of an EGS project, including Testing of Injection and Production Wells, Reservoir Validation, Inter-well Connectivity, Reservoir Scale Up and Reservoir Sustainability. (4) Current sensors are limited to operating at lower temperatures, but the need is for logging at high temperatures. The present project deals with the development of a novel acoustic-based sensor that can work at temperatures up to 374 C, in inhospitable environments.

  17. Exploiting Sensor Spatial Redundancy to Improve Network Lifetime

    E-Print Network [OSTI]

    issues. Indeed, recharging or replacing the nodes' battery may be inconvenient, or even impossible- erage. While monitoring the area of interest, sensors gather information (i.e., images), and send battery lifetime should be maximized to maximize network lifetime, a fairly intuitive approach

  18. Battery-free Wireless Sensor Network For Advanced Fossil-Fuel Based Power Generation

    SciTech Connect (OSTI)

    Yi Jia

    2011-02-28

    This report summarizes technical progress achieved during the project supported by the Department of Energy under Award Number DE-FG26-07NT4306. The aim of the project was to conduct basic research into battery-free wireless sensing mechanism in order to develop novel wireless sensors and sensor network for physical and chemical parameter monitoring in a harsh environment. Passive wireless sensing platform and five wireless sensors including temperature sensor, pressure sensor, humidity sensor, crack sensor and networked sensors developed and demonstrated in our laboratory setup have achieved the objective for the monitoring of various physical and chemical parameters in a harsh environment through remote power and wireless sensor communication, which is critical to intelligent control of advanced power generation system. This report is organized by the sensors developed as detailed in each progress report.

  19. Magic of Numbers in Networks of Wireless Image Sensors

    E-Print Network [OSTI]

    Rahimi, Mohammed; Ahmadian, Shaun; Zats, David; Laufer, Rafael; Estrin, D

    2006-01-01

    are solved on the battery- operated image sensor nodes andwith wireless battery-operated image sensors, we havedepicts a network of battery- operated image sensors placed

  20. Efficient Radio Communication for Energy Constrained Sensor Networks

    E-Print Network [OSTI]

    Liu, Tao

    2013-01-01

    metrics in energy constrained wireless sensor networks. ” InRouting in Energy-Constrained Wireless Sensor Net- works. ”adaptive energy-efficient MAC protocol for wireless sensor

  1. Predictable and Controllable Wireless Sensor Networks

    E-Print Network [OSTI]

    Sreenan, Cormac J.

    .roedig|c.sreenan}@cs.ucc.ie Abstract: Research activity in the area of wireless sensor networks has grown dramatically in the past few and reliability, raising concerns over their use in scenarios like mission critical production environments on Wireless Sensor Networks [1]. The volume of activity is further illustrated by recent IEEE magazines

  2. Optimize Storage Placement in Sensor Networks

    E-Print Network [OSTI]

    Li, Qun

    of limited storage, communication capacity, and battery power is ameliorated. Placing storage nodesOptimize Storage Placement in Sensor Networks Bo Sheng, Member, IEEE, Qun Li, Member, IEEE, and Weizhen Mao Abstract--Data storage has become an important issue in sensor networks as a large amount

  3. Wireless Sensor Networks: Scheduling for Measurement

    E-Print Network [OSTI]

    Robertazzi, Thomas G.

    Wireless Sensor Networks: Scheduling for Measurement and Data Reporting MEQUANINT MOGES, Member allocation approach is presented for measurement and data reporting in wireless sensor networks with a single involve each antenna scanning a different frequency and directional range. We emphasize here wireless

  4. Sensor Network for Motor Energy Management | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Sensor Network for Motor Energy Management Sensor Network for Motor Energy Management Remote Sensing Electric Motor Operation Optimizes Maintenance and Energy Efficiency Electric...

  5. Energy Efficient Distributed Data Fusion In Multihop Wireless Sensor Networks

    E-Print Network [OSTI]

    Huang, Yi

    2010-01-01

    estimation in energy-constrained wireless sensor networks,”J. Wu, “Energy-e?cient coverage problems in wireless ad hoca transmission energy problem for wireless sensor networks.

  6. On computer vision in wireless sensor networks.

    SciTech Connect (OSTI)

    Berry, Nina M.; Ko, Teresa H.

    2004-09-01

    Wireless sensor networks allow detailed sensing of otherwise unknown and inaccessible environments. While it would be beneficial to include cameras in a wireless sensor network because images are so rich in information, the power cost of transmitting an image across the wireless network can dramatically shorten the lifespan of the sensor nodes. This paper describe a new paradigm for the incorporation of imaging into wireless networks. Rather than focusing on transmitting images across the network, we show how an image can be processed locally for key features using simple detectors. Contrasted with traditional event detection systems that trigger an image capture, this enables a new class of sensors which uses a low power imaging sensor to detect a variety of visual cues. Sharing these features among relevant nodes cues specific actions to better provide information about the environment. We report on various existing techniques developed for traditional computer vision research which can aid in this work.

  7. Decentralized TDOA Sensor Pairing in Multihop Wireless Sensor Networks

    E-Print Network [OSTI]

    Meng, Wei; Lihua, Xie; Wendong, Xiao

    2013-01-01

    a wireless sensor network (WSN). Most of the existing worksWe consider a multihop WSN. Given a team of nodes per-us represent a multihop WSN as a graph defined by , where is

  8. MEMS Materials and Temperature Sensors for Down Hole Geothermal System Monitoring

    E-Print Network [OSTI]

    Wodin-Schwartz, Sarah

    2013-01-01

    MEMS for Geothermal Monitoring . . . . . . . . . . . . .Existing MEMS Capacitive Temperature Sensors . . . . .In-Plane MEMS Temperature Sensor

  9. Sensor Wars: Detecting and Defending Against Spam Attacks in Wireless Sensor Networks

    E-Print Network [OSTI]

    Levi, Albert

    network are discussed in [7]. Security, network bandwidth and power consumption in sensor networksSensor Wars: Detecting and Defending Against Spam Attacks in Wireless Sensor Networks Serdar Sancak@sabanciuniv.edu Abstract--Anti-nodes deployed inside a wireless sensor network can frequently generate dummy data packets

  10. A Cavity-backed Slot Antenna with High Upper Hemisphere Efficiency for Sewer Sensor Network

    E-Print Network [OSTI]

    Tentzeris, Manos

    A Cavity-backed Slot Antenna with High Upper Hemisphere Efficiency for Sewer Sensor Network of Technology Atlanta, GA Abstract--A wireless sewer sensor network has been widespread to monitor combined sewer overflow (CSO) causing human health and environmental hazards. To enable the wireless

  11. Wireless sensor networks for off-shore oil and gas installations

    E-Print Network [OSTI]

    Gjessing, Stein

    1 Wireless sensor networks for off-shore oil and gas installations Martin Dalbro, Erik Eikeland ­ Underwater development and production of oil and gas needs networked sensors and actuators to monitor the production process, to either prevent or detect oil and gas leakage or to enhance the production flow

  12. Cloud-based WirelessHART networking for Critical Industrial Monitoring and Control

    E-Print Network [OSTI]

    Savazzi, Stefano

    Cloud-based WirelessHART networking for Critical Industrial Monitoring and Control Leonardo Ascorti Council of Italy CNR-IEIIT, Milano Italy Abstract-- Cloud-enabled wireless industrial sensor networks-contained network-embedded cloud system (Wireless Cloud Network, WCN) with a wireless industrial network

  13. Energy-Efficient Target Coverage in Wireless Sensor Networks

    E-Print Network [OSTI]

    Cardei, Mihaela

    successively. Only the sensors from the current active set are responsible for monitoring all targets

  14. Application Independent Energy Efficient Data Aggregation in Wireless Sensor Networks

    E-Print Network [OSTI]

    Virmani, Deepali; Ghanshyam,; Ahlawat, Khyati; Noble,

    2012-01-01

    Wireless Sensor networks are dense networks of small, low-cost sensors, which collect and disseminate environmental data and thus facilitate monitoring and controlling of physical environment from remote locations with better accuracy. The major challenge is to achieve energy efficiency during the communication among the nodes. This paper aims at proposing a solution to schedule the node's activities to reduce the energy consumption. We propose the construction of a decentralized lifetime maximizing tree within clusters. We aim at minimizing the distance of transmission with minimization of energy consumption. The sensor network is distributed into clusters based on the close proximity of the nodes. Data transfer among the nodes is done with a hybrid technique of both TDMA/ FDMA which leads to efficient utilization of bandwidth and maximizing throughput.

  15. Consistency Error Modeling-based Localization in Sensor Networks

    E-Print Network [OSTI]

    Feng, Jessica; Potkonjak, Miodrag

    2006-01-01

    distributed, embedded, wireless systems. IEEE CAS WorkshopConference on Embedded Networked Sensor Systems. (Nov.

  16. The Coverage Problem in Three-Dimensional Wireless Sensor Networks

    E-Print Network [OSTI]

    Tseng, Yu-Chee

    - bedded micro-sensing MEMS technologies has made wireless sensor networks possible. Such environments mayThe Coverage Problem in Three-Dimensional Wireless Sensor Networks Chi-Fu Huang, Yu-Chee Tseng of the fundamental issues in sensor networks is the coverage problem, which reflects how well a sensor network

  17. Real-Time Communication and Coordination in Embedded Sensor Networks

    E-Print Network [OSTI]

    Lu, Chenyang

    sensors and actuators. Because of this interaction, we find that sensor networks are very data-centric. These networks are very data-centric, with data queries being issued from base stations and time-dependent sensor

  18. Electrochemical NOx Sensor for Monitoring Diesel Emissions

    SciTech Connect (OSTI)

    Woo, L Y; Glass, R S

    2008-11-14

    Increasingly stringent emissions regulations will require the development of advanced gas sensors for a variety of applications. For example, compact, inexpensive sensors are needed for detection of regulated pollutants, including hydrocarbons (HCs), CO, and NO{sub x}, in automotive exhaust. Of particular importance will be a sensor for NO{sub x} to ensure the proper operation of the catalyst system in the next generation of diesel (CIDI) automobiles. Because many emerging applications, particularly monitoring of automotive exhaust, involve operation in harsh, high-temperature environments, robust ceramic-oxide-based electrochemical sensors are a promising technology. Sensors using yttria-stabilized zirconia (YSZ) as an oxygen-ion-conducting electrolyte have been widely reported for both amperometric and potentiometric modes of operation. These include the well-known exhaust gas oxygen (EGO) sensor. More recently, ac impedance-based (i.e., impedance-metric) sensing techniques using YSZ have been reported for sensing water vapor, hydrocarbons, CO, and NO{sub x}. Typically small-amplitude alternating signal is applied, and the sensor response is measured at a specified frequency. Most impedance-metric techniques have used the modulus (or magnitude) at low frequencies (< 1 Hz) as the sensing signal and attribute the measured response to interfacial phenomena. Work by our group has also investigated using phase angle as the sensing signal at somewhat higher frequencies (10 Hz). The higher frequency measurements would potentially allow for reduced sampling times during sensor operation. Another potential advantage of impedance-metric NO{sub x} sensing is the similarity in response to NO and NO{sub 2} (i.e., total-NO{sub x} sensing). Potentiometric NO{sub x} sensors typically show higher sensitivity to NO2 than NO, and responses that are opposite in sign. However, NO is more stable than NO{sub 2} at temperatures > 600 C, and thermodynamic calculations predict {approx}90% NO, balance NO{sub 2}. Since automotive exhaust sensors will probably be required to operate at temperatures > 600 C, NO is the dominant component in thermodynamic equilibrium and the target NOx species. Also, the use of upstream catalysts could further promote the conversion of NO{sub x} species to NO. Therefore, the focus of current work is to investigate the response to NO. Nevertheless, minimizing the sensitivity to a variety of competing species is important in order to obtain the accuracy necessary for achieving the emission limits. Mitigating the effect of interfering gases (e.g., O{sub 2}, water vapor, HCs, etc.) is an area of current study. For impedance metric NO{sub x} sensors, our previous work has demonstrated that the cross-sensitivity to O{sub 2} may be accounted for by comparing measurements at multiple frequencies. Other strategies for compensation are also being explored, including calibration using data from existing sensors located nearby. Our current work has made significant advances in terms of developing prototype sensors more suitable for commercialization. Also, dynamometer testing has provided real-world sensor performance data that will be useful in approaching potential suppliers to whom we can transfer the technology for commercialization. The advances are a direct result of understanding the sensing mechanisms responsible for impedance-based NO{sub x} sensing and the effect of materials choice and sensor design/geometry.

  19. A Sensor Placement Approach for the Monitoring of Indoor Scenes

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    needed by research projects on energy management (ERGDOM [1]) and on the medical monitoringA Sensor Placement Approach for the Monitoring of Indoor Scenes Pierre David, Vincent Idasiak of a French project, which aims at developing a new human presence sensor, we intend to design a sensor system

  20. Controlled mobility in sensor networks

    E-Print Network [OSTI]

    Sugihara, Ryo

    2009-01-01

    Example: Structural Health Monitoring 2.2.2 Systems andworkshop on Structural Health Monitoring, 2007. [TPS + 05]target tracking, structural health monitoring, and so on.

  1. SensorGrid: Integrating Sensor Networks and Grid Computing Chen-Khong Tham1

    E-Print Network [OSTI]

    Melbourne, University of

    SensorGrid: Integrating Sensor Networks and Grid Computing Chen-Khong Tham1 and Rajkumar Buyya2 Keywords: Sensors, Sensor Networks, Grid computing, SensorML, SensorWeb. 1. Introduction Recent advances in electronic circuit miniaturization and micro-electromechanical systems (MEMS) have led to the creation

  2. Exploring LoadBalance to Dispatch Mobile Sensors in Wireless Sensor Networks

    E-Print Network [OSTI]

    Tseng, Yu-Chee

    ­sensing MEMS and wireless com­ munication technologies have promoted the development of wireless sensorExploring Load­Balance to Dispatch Mobile Sensors in Wireless Sensor Networks You­Chiun Wang, Wen, a hybrid sensor network consisting of static and mobile sensors is considered, where static sensors

  3. In-situ prediction on sensor networks using distributed multiple linear regression models

    E-Print Network [OSTI]

    Basha, Elizabeth (Elizabeth Ann)

    2010-01-01

    Within sensor networks for environmental monitoring, a class of problems exists that requires in-situ control and modeling. In this thesis, we provide a solution to these problems, enabling model-driven computation where ...

  4. The Low Power Energy Aware Processing (LEAP) Embedded Networked Sensor System

    E-Print Network [OSTI]

    Dustin McIntire; Kei Ho; Bernie Yip; Amarjeet Singh; Winston Wu; William J. Kaiser

    2005-01-01

    of Power Consumption in Energy- Aware Operating Systems”,Power Energy Aware Processing (LEAP) Embedded Networked Sensor Systempower and high F. Design Approach: Energy Monitoring and Management Development and deployment of ENS systems

  5. Configurable dynamic privacy for pervasive sensor networks

    E-Print Network [OSTI]

    Gong, Nan-Wei

    2009-01-01

    Ubiquitous computing sensor networks have greatly augmented the functionality of interactive media systems by adding the ability to capture and store activity-related information. Analyzing the information recorded from ...

  6. Intelligent Lighting System Using Wireless Sensor Networks

    E-Print Network [OSTI]

    Kumaar, A A Nippun; TSB, Sudarshan; 10.5121/ijasuc.2010.1402

    2011-01-01

    This paper examines the use of Wireless Sensor Networks interfaced with light fittings to allow for daylight substitution techniques to reduce energy usage in existing buildings. This creates a wire free system for existing buildings with minimal disruption and cost.

  7. Robustness of Compressed Sensing in Sensor Networks 

    E-Print Network [OSTI]

    Hern, Brett

    2008-05-22

    Compressed sensing is a new theory that is based on the fact that many natural images can be sparsely represented in an orthonormal wavelet basis. This theory holds valuable implications for wireless sensor networks because power and bandwidth...

  8. A flexible high-density sensor network

    E-Print Network [OSTI]

    Mistree, Behram Farrokh Thomas

    2008-01-01

    This thesis explores building and deploying a scalable electronic sensate skin that was designed as a dense sensor network. Our skin is built from small (1" x 1") rigid circuit boards attached to their neighbors with ...

  9. Energy Management in Wireless Sensor Network Operations 

    E-Print Network [OSTI]

    Mohapatra, Arupa Kumar

    2013-07-26

    In this dissertation, we develop and analyze effective energy management policies for wireless sensor networks in emerging applications. Existing methods in this area have primarily focused on energy conservation through the use of various...

  10. Flexible Hardware Abstraction for Wireless Sensor Networks

    E-Print Network [OSTI]

    California at Berkeley, University of

    Flexible Hardware Abstraction for Wireless Sensor Networks Vlado Handziski, Joseph Polastre, Jan; Computer Science Department Berkeley, CA 94720 US Abstract-- We present a flexible Hardware Abstraction gradually adapts the capabilities of the underlying hardware plat- forms to the selected platform

  11. Ubicorder : a mobile interface to sensor networks

    E-Print Network [OSTI]

    Mittal, Manas

    2008-01-01

    This thesis presents the Ubicorder. The Ubicorder is a location and orientation aware sensor network browsing and interactive visualization system together with in-situ event denition and identification (termed EDITY). The ...

  12. Data Analysis and Query Processing in Wireless Sensor Networks

    E-Print Network [OSTI]

    Chatzimilioudis, Georgios

    2010-01-01

    multicasting in energy-constrained wireless networks. IEEEdesign for energy-e?cient wireless sensor networks. Inenergy and maximizing network lifetime multicasting in wireless

  13. Pervasive UWB Sensor Networks for Oil exploration

    E-Print Network [OSTI]

    Savazzi, Stefano

    network applications. One of these applications is represented by land seismic exploration for oil and gas reservior. Seismic exploration requires a large number (2000 nodes/sqkm) of sensors to be deployed applications [1]. Land seismic exploration for oil reservoir requires a large number of sensors (geophones

  14. Maximizing Charging Throughput in Rechargeable Sensor Networks

    E-Print Network [OSTI]

    Liang, Weifa

    mobile chargers (mobile vehicles) to replenish sensors' energy has attracted much attention recently Email: richard.rxj@anu.edu.au, wliang@cs.anu.edu.au, wenzheng.xu3@gmail.com Abstract--Energy is one of the most critical optimization objectives in wireless sensor networks. Compared with renewable energy

  15. Radioactive Target Detection Using Wireless Sensor Network

    E-Print Network [OSTI]

    Zhang, Tonglin

    components, enhanced the ideas of wireless sensor networks (WSN). The goal of any WSN is to provide measures for a WSN is how to efficiently integrate the available information from individual sensors to reach with WSN can be categorized into two groups of methods: decision fusion and value fusion methods

  16. Wireless Sensor Networks Dr. Faruk Bagci

    E-Print Network [OSTI]

    Ungerer, Theo

    of Augsburg, Germany Wireless Sensor Network Applications Early disaster detection Habitat observation Intelligent buildings Research Topics Energy efficient communication ESTR-Protocol ESTR ­ Energy Saving Token and can receive data · Most sensors in ring sleep and save energy Energy efficiency Simulation of a WSN

  17. Structural health monitoring sensor development for the Imote2 platform

    E-Print Network [OSTI]

    Spencer Jr., B.F.

    Structural health monitoring sensor development for the Imote2 platform Jennifer A. Rice*a and B motivated researchers to seek effective methods for real-time structural health monitoring (SHM that is necessary to successfully implement SHM algorithms. Keywords: Structural health monitoring, smart sensor

  18. Sensor Network Lifetime Maximization Via Sensor Energy Balancing: Construction and Optimal Scheduling of Sensor Trees

    E-Print Network [OSTI]

    Johansson, Karl Henrik

    in such a way that the total energy usage of the active sensor nodes in the tree is minimized. However whenSensor Network Lifetime Maximization Via Sensor Energy Balancing: Construction and Optimal, node energy, etc), the collected data are transmitted to their final destination, usually a fusion

  19. Body Area Networks & Pervasive Health Monitoring Recent advances in microelectronics and wireless

    E-Print Network [OSTI]

    , intelligent endoscope capsules, glucose monitors and eye pressure sensing systems. Similarly, wearable sensors the development of efficient energy-management protocols for low-power wearable medical sensors. · InterferenceBody Area Networks & Pervasive Health Monitoring Recent advances in microelectronics and wireless

  20. Low-cost Wireless Sensors for Building Monitoring Applications

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    er mp Low-cost Wireless Sensors for Building Monitoring Applications 2014 Building Technologies Office Peer Review Source: http:www.idsc.ethz.ch Controll Inverter Vapor co ....

  1. Query Processing in Mobile Sensor Networks Wang-Chien Lee

    E-Print Network [OSTI]

    Lee, Wang-Chien

    , a sensor network for air pollution test, where all sensors are scattered in the air and transported to collect the data from the sensors about air pollution and traffic conditions. In comparison, vehicles, animals, air, and water). With self-propelling sensor nodes, a mobile sensor network is self

  2. Wireless sensor network survey Jennifer Yick, Biswanath Mukherjee, Dipak Ghosal *

    E-Print Network [OSTI]

    Ramaswamy, Lakshmish

    -Electro-Mechanical Systems (MEMS) technology which has facilitated the development of smart sensors. These sensors are smallWireless sensor network survey Jennifer Yick, Biswanath Mukherjee, Dipak Ghosal * Department online 14 April 2008 Responsible Editor: E. Ekici Keywords: Wireless sensor network Protocols Sensor

  3. Energy-Efficient Aggregate Query Evaluation in Sensor Networks

    E-Print Network [OSTI]

    Liang, Weifa

    Energy-Efficient Aggregate Query Evaluation in Sensor Networks Zhuoyuan Tu and Weifa Liang efficiently. This paper considers the aggregate query evaluation in a sensor network database, wliang}@cs.anu.edu.au Abstract. Sensor networks, consisting of sensor devices equipped with energy

  4. Building Intelligent Sensor Networks With Multiagent Graphical Models

    E-Print Network [OSTI]

    Xiang, Yang

    Building Intelligent Sensor Networks With Multiagent Graphical Models Yang Xiang University of these agents as well as the sensors that they manage forms an intelligent sensor network. The task to process: what is the small set of devices that is highly likely the culprit of abnormality? A sensor network

  5. Radiation detection and situation management by distributed sensor networks

    SciTech Connect (OSTI)

    Jan, Frigo; Mielke, Angela; Cai, D Michael

    2009-01-01

    Detection of radioactive materials in an urban environment usually requires large, portal-monitor-style radiation detectors. However, this may not be a practical solution in many transport scenarios. Alternatively, a distributed sensor network (DSN) could complement portal-style detection of radiological materials through the implementation of arrays of low cost, small heterogeneous sensors with the ability to detect the presence of radioactive materials in a moving vehicle over a specific region. In this paper, we report on the use of a heterogeneous, wireless, distributed sensor network for traffic monitoring in a field demonstration. Through wireless communications, the energy spectra from different radiation detectors are combined to improve the detection confidence. In addition, the DSN exploits other sensor technologies and algorithms to provide additional information about the vehicle, such as its speed, location, class (e.g. car, truck), and license plate number. The sensors are in-situ and data is processed in real-time at each node. Relevant information from each node is sent to a base station computer which is used to assess the movement of radioactive materials.

  6. A Biologically Inspired Networking Model for Wireless Sensor Networks 

    E-Print Network [OSTI]

    Charalambous, Charalambos

    2011-02-22

    Wireless sensor networks (WSNs) have emerged in strategic applications such as target detection, localization, and tracking in battlefields, where the large-scale na- ture renders centralized control prohibitive. In addition, the finite batteries...

  7. Ourmon and Network Monitoring Performance James R. Binkley Bart Massey

    E-Print Network [OSTI]

    Massey, Bart

    at Portland State University. Ourmon monitors a target network both to highlight ab- normal network traffic

  8. Optimal Location of a Mobile Sensor Continuum for Environmental Monitoring

    E-Print Network [OSTI]

    Boyer, Edmond

    air pollution monitoring, seismic monitoring, or monitoring of large infrastructures in civil is proposed for the goal of optimal location of a mobile sensor continuum. The monitoring of pollution on a 2D or track distributed environmental phenomena (weather, seismic events, wildfires, air, soil or river

  9. Metadata Challenge for Query Processing Over Heterogeneous Wireless Sensor Network

    E-Print Network [OSTI]

    Komalavalli, C

    2011-01-01

    Wireless sensor networks become integral part of our life. These networks can be used for monitoring the data in various domain due to their flexibility and functionality. Query processing and optimization in the WSN is a very challenging task because of their energy and memory constraint. In this paper, first our focus is to review the different approaches that have significant impacts on the development of query processing techniques for WSN. Finally, we aim to illustrate the existing approach in popular query processing engines with future research challenges in query optimization.

  10. Mobile Sensor Networks for Leak and Backflow Detection in Water Distribution Systems

    E-Print Network [OSTI]

    Shihada, Basem

    Mobile Sensor Networks for Leak and Backflow Detection in Water Distribution Systems M. Agumbe detection are essential aspects of Water Distribution System (WDS) monitoring. Most existing solutions for leak detection in water distribution systems focus on the placement of expensive static sensors located

  11. PREDICTIVE SIMULATION OF PIEZOELECTRIC WAFER ACTIVE SENSORS FOR STRUCTURAL HEALTH MONITORING

    E-Print Network [OSTI]

    Giurgiutiu, Victor

    1 PREDICTIVE SIMULATION OF PIEZOELECTRIC WAFER ACTIVE SENSORS FOR STRUCTURAL HEALTH MONITORING: structural health monitoring (SHM), piezoelectric wafer active sensors (PWAS), nondestructive evaluation (NDE sensors (PWAS) are lightweight and inexpensive enablers for structural health monitoring (SHM). After

  12. Characterization of Sensor Performance and Durability for Structural Health Monitoring Systems

    E-Print Network [OSTI]

    Giurgiutiu, Victor

    Characterization of Sensor Performance and Durability for Structural Health Monitoring Systems with regard to successfully implementing Structural Health Monitoring technologies in Air Force systems sensor system design and packaging. Keywords: Structural Health Monitoring, Piezo Wafer Active Sensors

  13. MICROSTRUCTURED OPTICAL FIBER BRAGG GRATING SENSORS FOR STRUCTURAL HEALTH MONITORING APPLICATIONS

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    MICROSTRUCTURED OPTICAL FIBER BRAGG GRATING SENSORS FOR STRUCTURAL HEALTH MONITORING APPLICATIONS optical fiber Bragg grating (MOFBG) sensors for structural health monitoring applications. We then focus. We subsequently discuss the potential of our MOFBG sensors for structural health monitoring related

  14. Preserving Area Coverage in Wireless Sensor Networks by using

    E-Print Network [OSTI]

    Boyer, Edmond

    a studied phenomenon. Sensor nodes are deployed over hostile or remote environments to monitor a target area

  15. Algorithms For Wireless Sensor Networks Sartaj Sahni and Xiaochun Xu

    E-Print Network [OSTI]

    Sahni, Sartaj K.

    that the sensors that survive the air drop will be able to adequately monitor the target region. When site

  16. An Evaluation of Sensing Platforms Used for Sensor Network Research

    E-Print Network [OSTI]

    Kansas, University of

    An Evaluation of Sensing Platforms Used for Sensor Network Research Daniel T. Fokum, Dr. Victor S to complex sensor nodes; which include fully configured computers. Several of these platforms were evaluated ................................................................................................................. 2 3 Evaluation of Sensor Platforms

  17. Cooperative UAV-Based Communications Backbone for Sensor Networks

    SciTech Connect (OSTI)

    Roberts, R S

    2001-10-07

    The objective of this project is to investigate the use of unmanned air vehicles (UAVs) as mobile, adaptive communications backbones for ground-based sensor networks. In this type of network, the UAVs provide communication connectivity to sensors that cannot communicate with each other because of terrain, distance, or other geographical constraints. In these situations, UAVs provide a vertical communication path for the sensors, thereby mitigating geographic obstacles often imposed on networks. With the proper use of UAVs, connectivity to a widely disbursed sensor network in rugged terrain is readily achieved. Our investigation has focused on networks where multiple cooperating UAVs are used to form a network backbone. The advantage of using multiple UAVs to form the network backbone is parallelization of sensor connectivity. Many widely spaced or isolated sensors can be connected to the network at once using this approach. In these networks, the UAVs logically partition the sensor network into sub-networks (subnets), with one UAV assigned per subnet. Partitioning the network into subnets allows the UAVs to service sensors in parallel thereby decreasing the sensor-to-network connectivity. A UAV services sensors in its subnet by flying a route (path) through the subnet, uplinking data collected by the sensors, and forwarding the data to a ground station. An additional advantage of using multiple UAVs in the network is that they provide redundancy in the communications backbone, so that the failure of a single UAV does not necessarily imply the loss of the network.

  18. Energy-Conservation Clustering Protocol based on Heat Conductivity for Wireless Sensor Networks

    E-Print Network [OSTI]

    Landfeldt, Bjorn

    -sensors based on MEMS (Micro-Electro-Mechanical Systems) technology. A wireless sensor network is composed

  19. Intelligent Light Control using Sensor Networks Vipul Singhvi

    E-Print Network [OSTI]

    Murphy, Robert F.

    Intelligent Light Control using Sensor Networks Vipul Singhvi Civil Engineering Dept. Carnegie as an intelligent lighting control strategy that significantly reduces energy cost. Our approach is based sensor networks to optimize the trade- off between fulfilling different occupants' light preferences

  20. Efficient Sensor Placement Optimization for Securing Large Water Distribution Networks

    E-Print Network [OSTI]

    Pratt, Vaughan

    Efficient Sensor Placement Optimization for Securing Large Water Distribution Networks Andreas Abstract: The problem of deploying sensors in a large water distribution network is considered, in order water--exhibits an important diminishing returns effect called submodularity. The submodularity

  1. Hazard Avoidance in Wireless Sensor and Actor Networks

    E-Print Network [OSTI]

    Sivakumar, Raghupathy

    Hazard Avoidance in Wireless Sensor and Actor Networks Ramanuja Vedantham Zhenyun Zhuang Prof [Akyildiz'04] Network Low bandwidth (Hazards Hazards undesirable changes in the environment Reason for hazards Different latencies For different sensors and actors

  2. Energy Efficient Distributed Data Fusion In Multihop Wireless Sensor Networks

    E-Print Network [OSTI]

    Huang, Yi

    2010-01-01

    estimation in energy-constrained wireless sensor networks,”a transmission energy problem for wireless sensor networks.J. Wu, “Energy-e?cient coverage problems in wireless ad hoc

  3. Interference-Aware Fair Rate Control in Wireless Sensor Networks

    E-Print Network [OSTI]

    Rangwala, Sumit; Gummadi, Ramakrishna; Govindan, Ramesh; Psounis, Konstantinos

    2006-01-01

    Architecture for Structural Health Monitoring. In Proc. ofNetwork for Structural Health Monitoring: Performance andnetworks for structural health monitoring [17, 21, 22]. In

  4. Deployment and organization strategies for sampling- interpolation sensor networks

    E-Print Network [OSTI]

    Liaskovitis, Periklis G.

    2009-01-01

    example of a WSN monitoring temperature inside a warehouse:network (WSN) monitoring temperature or air flow within anetworks for indoor temperature monitoring nurtured by Intel

  5. Computer network control plane tampering monitor

    DOE Patents [OSTI]

    Michalski, John T.; Tarman, Thomas D.; Black, Stephen P.; Torgerson, Mark D.

    2010-06-08

    A computer network control plane tampering monitor that detects unauthorized alteration of a label-switched path setup for an information packet intended for transmission through a computer network.

  6. Symmetric Clock Synchronization in Sensor Networks Philipp Sommer

    E-Print Network [OSTI]

    Symmetric Clock Synchronization in Sensor Networks Philipp Sommer Computer Engineering and Networks Laboratory ETH Zurich 8092 Zurich, Switzerland sommer@tik.ee.ethz.ch Roger Wattenhofer Computer Engineering

  7. On Decentralized Classification using a Network of Mobile Sensors

    E-Print Network [OSTI]

    Murray, Richard M.

    of this information for the purposes of classifying the objects. As sensor networks become more "intelligent," there is a natural need to advance from sensor fusion to sensor interpretation for the purpose of intelligent is a necessary step towards more intelligent sensor networks. There is an ample literature in the fields

  8. MEMS Materials and Temperature Sensors for Down Hole Geothermal System Monitoring

    E-Print Network [OSTI]

    Wodin-Schwartz, Sarah

    2013-01-01

    In-Plane MEMS Temperature SensorExisting MEMS Capacitive Temperature Sensors . . . . .suite of encapsulated MEMS sensors to monitor the down hole

  9. Efficient Radio Communication for Energy Constrained Sensor Networks

    E-Print Network [OSTI]

    Liu, Tao

    2013-01-01

    Petri M¨ah¨onen. “Designing a reliable and stable link quality metric for wireless sensor networks. ”

  10. Deployment and organization strategies for sampling- interpolation sensor networks

    E-Print Network [OSTI]

    Liaskovitis, Periklis G.

    2009-01-01

    WSN wireless sensor network (WSN): a new paradigm for connectingthat will be universal to all WSN related considerations. No

  11. Mobility in Wireless Sensor Networks

    E-Print Network [OSTI]

    Mehta, Ankur Mukesh

    2012-01-01

    4 Wireless Protocol Modifications 4.1contains a distributed wireless network with per- vasiveprocessing, control, and wireless communication on a board

  12. Power-Efficient Adaptable Wireless Sensor Networks , David Evans2

    E-Print Network [OSTI]

    Evans, David

    Power-Efficient Adaptable Wireless Sensor Networks John Lach1 , David Evans2 , Jon McCune3 , Jason the flexibility necessary for the adaptations required of wireless sensor networks without the penalties Engineering3 , Pittsburgh, PA 15213 Abstract Wireless sensor networks represent a new data collection paradigm

  13. Duty-Cycle-Aware Broadcast in Wireless Sensor Networks

    E-Print Network [OSTI]

    Liu, Jiangchuan (JC)

    active and dormant states, so as to conserve energy and extend the network lifetime. Unfortunately fails to capture the uniqueness of energy-constrained wireless sensor networks. The sensor nodesDuty-Cycle-Aware Broadcast in Wireless Sensor Networks Feng Wang Jiangchuan Liu School of Computing

  14. Intentional Mobility in Wireless Sensor Networks 1 INTENTIONAL MOBILITY IN

    E-Print Network [OSTI]

    Tseng, Yu-Chee

    applications, wireless sensor networks. 1. Introduction The rapid growth of micro-sensing MEMS and wirelessIntentional Mobility in Wireless Sensor Networks 1 Chapter 1 INTENTIONAL MOBILITY IN WIRELESS SENSOR NETWORKS You-Chiun Wang and Yu-Chee Tseng Department of Computer Science National Chiao

  15. FUTURE POWER GRID INITIATIVE Intelligent Networked Sensors

    E-Print Network [OSTI]

    FUTURE POWER GRID INITIATIVE Intelligent Networked Sensors Capable of Autonomous, Adaptive from the rest of the power grid and reconnect and synchronize without loss of functionality FOCUS AREA Power Grid Initiative (FPGI) will deliver next-generation concepts and tools for grid operation

  16. Energy Balanced Chain in Distributed Sensor Networks

    E-Print Network [OSTI]

    Howitt, Ivan

    Energy Balanced Chain in Distributed Sensor Networks Ivan Howitt Electrical & Computer Engineering because of their higher traffic. This paper suggests an energy balanced chain (EBC) which can efficiently the energy balance optimization problem in terms of the segmentation space. By adjusting the transmission

  17. Designing Self-Sustainable Photovoltaic Sensor Network

    E-Print Network [OSTI]

    California at Berkeley, University of

    , 2006 #12;2 Target Environment · Outdoor application ­ Wired power and battery has limitations. ­ Solar for power saving. ­ Power saving for single-hop is trivial. #12;3 Related Work on Solar Powered Sensor #12;4 Goals · Power saving for multi-hop networks under solar energy source. ­ Solar Energy: time

  18. Mesh-based Sensor Relocation for Coverage Maintenance in Mobile Sensor Networks

    E-Print Network [OSTI]

    Santoro, Nicola

    sophisticated protocols, mobile sensor networks are more flexible and adaptive to unknown or hazardous of reasons. All of them rely on global/cross-network message transmissions for discovering nearby replacementMesh-based Sensor Relocation for Coverage Maintenance in Mobile Sensor Networks Xu Li SCS, Carleton

  19. Self-Powered Wireless Nano-scale Sensor Networks within Chemical Reactors

    E-Print Network [OSTI]

    New South Wales, University of

    Self-Powered Wireless Nano-scale Sensor Networks within Chemical Reactors Eisa Zarepour1 Mahbub, Australia #12;Abstract Because of their small size and unique nanomaterial properties, nano-scale sen- sor networks (NSNs) can be applied in many chemical applications to monitor and control the chemical process

  20. Wireless Sensor Network for Improving the Energy Efficiency of Data Centers

    E-Print Network [OSTI]

    Mahdavi, Rod

    2014-01-01

    Data  Center  Energy  Use  Breakdown   Wireless  Sensor  Wireless  Sensor  Network  for  Improving  the  Energy  Wireless  Sensor  Network  for  Improving  the  Energy  

  1. Multipurpose Acoustic Sensor for Downhole Fluid Monitoring

    Broader source: Energy.gov [DOE]

    Novel sensor design based on acoustics. Determine in real-timeand in a single sensor packagemultiple parameters: temperature, pressure, fluid flow; and fluid properties, such as density, viscosity, fluid composition.

  2. Oxygen sensor for monitoring gas mixtures containing hydrocarbons

    DOE Patents [OSTI]

    Ruka, R.J.; Basel, R.A.

    1996-03-12

    A gas sensor measures O{sub 2} content of a reformable monitored gas containing hydrocarbons, H{sub 2}O and/or CO{sub 2}, preferably in association with an electrochemical power generation system. The gas sensor has a housing communicating with the monitored gas environment and carries the monitored gas through an integral catalytic hydrocarbon reforming chamber containing a reforming catalyst, and over a solid electrolyte electrochemical cell used for sensing purposes. The electrochemical cell includes a solid electrolyte between a sensor electrode that is exposed to the monitored gas, and a reference electrode that is isolated in the housing from the monitored gas and is exposed to a reference gas environment. A heating element is also provided in heat transfer communication with the gas sensor. A circuit that can include controls operable to adjust operations via valves or the like is connected between the sensor electrode and the reference electrode to process the electrical signal developed by the electrochemical cell. The electrical signal varies as a measure of the equilibrium oxygen partial pressure of the monitored gas. Signal noise is effectively reduced by maintaining a constant temperature in the area of the electrochemical cell and providing a monitored gas at chemical equilibria when contacting the electrochemical cell. The output gas from the electrochemical cell of the sensor is fed back into the conduits of the power generating system. 4 figs.

  3. Oxygen sensor for monitoring gas mixtures containing hydrocarbons

    DOE Patents [OSTI]

    Ruka, Roswell J. (Pittsburgh, PA); Basel, Richard A. (Pittsburgh, PA)

    1996-01-01

    A gas sensor measures O.sub.2 content of a reformable monitored gas containing hydrocarbons H.sub.2 O and/or CO.sub.2, preferably in association with an electrochemical power generation system. The gas sensor has a housing communicating with the monitored gas environment and carries the monitored gas through an integral catalytic hydrocarbon reforming chamber containing a reforming catalyst, and over a solid electrolyte electrochemical cell used for sensing purposes. The electrochemical cell includes a solid electrolyte between a sensor electrode that is exposed to the monitored gas, and a reference electrode that is isolated in the housing from the monitored gas and is exposed to a reference gas environment. A heating element is also provided in heat transfer communication with the gas sensor. A circuit that can include controls operable to adjust operations via valves or the like is connected between the sensor electrode and the reference electrode to process the electrical signal developed by the electrochemical cell. The electrical signal varies as a measure of the equilibrium oxygen partial pressure of the monitored gas. Signal noise is effectively reduced by maintaining a constant temperature in the area of the electrochemical cell and providing a monitored gas at chemical equilibria when contacting the electrochemical cell. The output gas from the electrochemical cell of the sensor is fed back into the conduits of the power generating system.

  4. Wireless sensor systems and methods, and methods of monitoring structures

    DOE Patents [OSTI]

    Kunerth, Dennis C.; Svoboda, John M.; Johnson, James T.; Harding, L. Dean; Klingler, Kerry M.

    2007-02-20

    A wireless sensor system includes a passive sensor apparatus configured to be embedded within a concrete structure to monitor infiltration of contaminants into the structure. The sensor apparatus includes charging circuitry and a plurality of sensors respectively configured to measure environmental parameters of the structure which include information related to the infiltration of contaminants into the structure. A reader apparatus is communicatively coupled to the sensor apparatus, the reader apparatus being configured to provide power to the charging circuitry during measurements of the environmental parameters by the sensors. The reader apparatus is configured to independently interrogate individual ones of the sensors to obtain information measured by the individual sensors. The reader apparatus is configured to generate an induction field to energize the sensor apparatus. Information measured by the sensor apparatus is transmitted to the reader apparatus via a response signal that is superimposed on a return induction field generated by the sensor apparatus. Methods of monitoring structural integrity of the structure are also provided.

  5. Development of a wireless sensor unit for tunnel monitoring

    E-Print Network [OSTI]

    Cheekiralla, Sivaram M. S. L., 1980-

    2004-01-01

    In this thesis we describe the development of a wireless sensor module for tunnel monitoring. The tunnel in question is a part of the London Underground system. Construction of a new tunnel beneath the existing tunnel is ...

  6. Efficient Sensor Node Authentication via 3GPP Mobile Communication Networks

    E-Print Network [OSTI]

    Kim, Kwangjo

    , 3G-WSN 1. INTRODUCTION As a de facto standard for the wireless sensor networks (WSNs), Zigbee [3 smartphone as a mobile device (MD) has GAA module and Zigbee module. The network consists of mobile network

  7. The 2nd International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP 2005) and IEEE International Conference on e-

    E-Print Network [OSTI]

    Melbourne, University of

    The 2nd International Conference on Intelligent Sensors, Sensor Networks and Information Processing sessions focusing on both theory and applications of intelligent sensors and smart systems. In addition Conference Organiser: ARC Research Networks on Intelligent Sensors, Sensor Networks and Information

  8. Design and analysis of artifact-resistive finger photoplethysmographic sensors for vital sign monitoring

    E-Print Network [OSTI]

    Rhee, Sokwoo

    2000-01-01

    A miniaturized, telemetric, photoplethysmograph sensor for long-term, continuous monitoring is presented in this thesis. The sensor, called a "ring sensor," is attached to a finger base for monitoring beat-to-beat pulsation, ...

  9. Evaluating complex MAC protocols for sensor networks with APMC

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    AVoCS 2006 Evaluating complex MAC protocols for sensor networks with APMC Micha¨el Cadilhac1 Thomas present an analysis of a MAC (Medium Access Control) protocol for wireless sensor net- works. The purpose insights about it performance. Keywords: Wireless sensor networks, approximate verification 1 Introduction

  10. Probabilistic Detection of Mobile Targets in Heterogeneous Sensor Networks

    E-Print Network [OSTI]

    Poovendran, Radha

    , a surveillance system can be realized via fusion of data aggregated from various sensor modalities: infrared, CCD of detection can be quantified by evaluating the probability of detection by at least k sensors, where kProbabilistic Detection of Mobile Targets in Heterogeneous Sensor Networks Loukas Lazos Network

  11. ESC: Energy Synchronized Communication in Sustainable Sensor Networks

    E-Print Network [OSTI]

    He, Tian

    ESC: Energy Synchronized Communication in Sustainable Sensor Networks Yu Gu, Ting Zhu and Tian He Abstract--With advances in energy harvesting techniques, it is now feasible to build sustainable sensor of sustainable sensor networks is to effectively utilize a continuous stream of ambient energy. Instead

  12. Optimizing Energy-Efficient Query Processing in Wireless Sensor Networks

    E-Print Network [OSTI]

    Lee, Wang-Chien

    , to collect metadata from sensor nodes to the query optimizer (i.e. the AP) requires an energy overhead1 Optimizing Energy-Efficient Query Processing in Wireless Sensor Networks Ross Rosemark Wang of energy-efficient query optimization for wireless sensor networks. Different from existing query

  13. Ferromagnetic Target Detection and Localization with a Wireless Sensor Network

    E-Print Network [OSTI]

    Uysal-Biyikoglu, Elif

    network (WSN). A WSN comprised of magnetic sensors was constructed to investigate the modeling, detection sensors in a WSN addressed. Index Terms--magnetic sensing, wireless sensor network, detection proposed for aiding cars in locating parking spaces in [1], and for traffic measurement in [2], where a WSN

  14. Learning from Class-Imbalanced Data in Wireless Sensor Networks

    E-Print Network [OSTI]

    Radivojac, Predrag

    . INTRODUCTION Recent advances in MEMS systems technology have led to the development of small inexpensive sensorLearning from Class-Imbalanced Data in Wireless Sensor Networks Predrag Radivojac, Uttara Korad Abstract-- In this paper, we study wireless sensor networks used for detection of rare events (e

  15. Smart Kindergarten: Sensor-based Wireless Networks for Smart Developmental

    E-Print Network [OSTI]

    Potkonjak, Miodrag

    and wireless network interfaces with emerging micro-sensors based on MEMS technology is allowing cheap sensing and tinier communication systems, and (c) cheaper and tinier MEMS sensors and actuators. Indeed, in a not tooSmart Kindergarten: Sensor-based Wireless Networks for Smart Developmental Problem

  16. Multipurpose Acoustic Sensor for Downhole Fluid Monitoring

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Alamos National Laboratory High Temperature Tools and Sensors, Down-hole Pumps and Drilling May 19, 2010 This presentation does not contain any proprietary confidential, or...

  17. CitySee: Urban CO2 Monitoring with Sensors Xufei Mao, Xin Miao, Yuan He, Tong Zhu, Jiliang Wang, Wei Dong, Xiang-Yang Li, and Yunhao Liu

    E-Print Network [OSTI]

    Liu, Yunhao

    CitySee: Urban CO2 Monitoring with Sensors Xufei Mao, Xin Miao, Yuan He, Tong Zhu, Jiliang Wang of precise carbon emission measurement and real-time surveillance for CO2 management in cities, we present CitySee, a real-time CO2-monitoring system using sensor networks for an urban area (around 100 square

  18. Energy-Efficient Data Gathering in Heterogeneous Wireless Sensor Networks

    E-Print Network [OSTI]

    Cardei, Mihaela

    such that each set cover monitors all targets and is connected to at least one supernode. A sensor can operations, surveillance, area/target monitoring, and many more. In this paper, we study data gathering lifetime is to organize the sensor nodes into a number of set covers such that all targets are monitored

  19. Power Sources for Wireless Sensor Abstract. Wireless sensor networks are poised to become a very significant

    E-Print Network [OSTI]

    Frechette, Luc G.

    Power Sources for Wireless Sensor Networks Abstract. Wireless sensor networks are poised to become a very significant enabling technology in many sectors. Already a few very low power wireless sensor environment, alternative power sources must be employed. This paper reviews many potential power sources

  20. Towards a smart sensor interface for wearable cough monitoring

    E-Print Network [OSTI]

    Odam, Kofi

    Towards a smart sensor interface for wearable cough monitoring Kofi Odame and Dingkun Du Thayer in a wearable cough monitoring device. In particular, the paper considers the issues of privacy, power is validated with simulation and measurement results. I. INTRODUCTION A cough is the most common condition

  1. Space Application of Piezoelectric Wafer Active Sensors for Structural Health Monitoring**

    E-Print Network [OSTI]

    Giurgiutiu, Victor

    Space Application of Piezoelectric Wafer Active Sensors for Structural Health Monitoring** V class of structural health monitoring (SHM) applications. This paper presents and discusses with conclusions and suggestions for further work. Key Words: structural health monitoring, piezoelectric, sensors

  2. ESF/PESC Exploratory Workshop on Wireless Sensor Networks

    E-Print Network [OSTI]

    on the bathymetry of the ocean ground beneath a wind farm using sensor networks. Philippe Bonnet outlined a newly allow the construction of so-called sensor nodes ­ small autonomous devices that combine sensing

  3. Sentry Selection in Sensor Networks: Theory and Algorithms

    E-Print Network [OSTI]

    Sarkar, Amites

    , for many applications, the sensor batteries are not rechargable. Once most of the sensor batteries have failed, the network is permanently disabled. Even when the batteries are rechargable, they cannot

  4. Robust Clock Synchronization Methods for Wireless Sensor Networks 

    E-Print Network [OSTI]

    Lee, Jae Han

    2011-10-21

    in general with energy-limited sensors capable of collecting, processing and transmitting information across short distances. Clock synchronization plays an important role in designing, implementing, and operating wireless sensor networks, and it is essential...

  5. Joint Energy Management and Resource Allocation in Rechargeable Sensor Networks

    E-Print Network [OSTI]

    Koksal, Can Emre

    Joint Energy Management and Resource Allocation in Rechargeable Sensor Networks Ren-Shiou Liu CSE@ece.osu.edu Abstract--Energy harvesting sensor platforms have opened up a new dimension to the design of network protocols. In order to sustain the network operation, the energy consumption rate cannot be higher than

  6. Energy Optimization of Subthreshold-Voltage Sensor Network Processors

    E-Print Network [OSTI]

    Dutta, Prabal

    network processor results. This design, accompanied by bulk-silicon solar cells for energy scavenging, hasEnergy Optimization of Subthreshold-Voltage Sensor Network Processors Leyla Nazhandali, Bo ZhaiV and be- low) lends itself well to the performance and energy demands of sensor network processors

  7. Load Balancing in Wireless Sensor Networks using Kirchhoff's Voltage Law

    E-Print Network [OSTI]

    Toumpis, Stavros

    Load Balancing in Wireless Sensor Networks using Kirchhoff's Voltage Law Stavros Toumpis Electrical balancing in wireless networks with a single class of traffic, focusing our attention on an important example, i.e., Wireless Sensor Networks. The analysis is based on the Wireless Minimum Cost Problem

  8. Energy Efficient Routing with Adaptive Data Fusion in Sensor Networks

    E-Print Network [OSTI]

    Liu, Yonghe

    Energy Efficient Routing with Adaptive Data Fusion in Sensor Networks Hong Luo College of Computer Adaptive Fusion Steiner Tree (AFST), for energy efficient data gathering in sensor networks that jointly, other networks may require complex operations for data fusion1 . Energy consumption of beamforming

  9. Distributed Mobility Management for Target Tracking in Mobile Sensor Networks

    E-Print Network [OSTI]

    Chakrabarty, Krishnendu

    --Wireless mobile sensor networks, mobility management, target tracking, Bayesian, distributed system. Ç 1 of scarce resources, such as energy and network bandwidth. Furthermore, the mobility management schemeDistributed Mobility Management for Target Tracking in Mobile Sensor Networks Yi Zou, Member, IEEE

  10. EBRP: Energy Band based Routing Protocol for Wireless Sensor Networks

    E-Print Network [OSTI]

    Durresi, Arjan

    EBRP: Energy Band based Routing Protocol for Wireless Sensor Networks Sasanka Madiraju Cariappa in an intelligent manner. We study the concept of energy fairness in routing in Sensor Networks so as to increase to route data based on the residual energy of the nodes. This algorithm divides the network into different

  11. Energy Distribution Control in Wireless Sensor Networks Through Range Optimization

    E-Print Network [OSTI]

    Yanikoglu, Berrin

    Energy Distribution Control in Wireless Sensor Networks Through Range Optimization M.Sarper Gokturk--A major objective in wireless sensor networks is to find optimum routing strategies for energy efficient a location-based routing framework to control the energy distribution in a network where transmission ranges

  12. Energy Consumption in Wireless Sensor Networks is a fundamental issue in terms of functionality and network lifetime. Minimization

    E-Print Network [OSTI]

    Vouyioukas, Demosthenes

    ABSTRACT Energy Consumption in Wireless Sensor Networks is a fundamental issue in terms, wireless sensor networks, energy model, biomedical applications 1. INTRODUCTION The concept of ubiquitous capacities and low energy consumption electronics. Wireless sensor network node functions such as sensing

  13. Network Monitoring Session Description Augusto Ciuffoletti

    E-Print Network [OSTI]

    Markatos, Evangelos P.

    activity: we distinguish agents that issue requests and use of the results, other that operate interest to a subset of what is often considered as Network Monitoring: we exclude the maintenance to the availability of generic aggregated statistics of dynamic behaviors and of static properties of network elements

  14. Efficient Radio Communication for Energy Constrained Sensor Networks

    E-Print Network [OSTI]

    Liu, Tao

    2013-01-01

    193 Energy Usage Analysis and ImplementationDetails . . . . . . . . 197 Energy UsageCycled Networks . 177 Energy Usage in Duty-Cycled Sensor

  15. Instrumenting Wireless Sensor Networks for Real-Time Surveillance

    E-Print Network [OSTI]

    Instrumenting Wireless Sensor Networks for Real-Time Surveillance Songhwai Oh, Phoebus Chen information is not available, the classification-based tracking algorithm behaves as the NNF. Considering

  16. Overcomplete Radon Bases for Target Property Management in Sensor Networks

    E-Print Network [OSTI]

    Guibas, Leonidas J.

    Overcomplete Radon Bases for Target Property Management in Sensor Networks Xiaoye Jiang Stanford, exploiting an overcomplete Radon basis dictionary to model property uncertainty in such cir- cumstances

  17. LANAI HIGH-DENSITY IRRADIANCE SENSOR NETWORK FOR CHARACTERIZING...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    on-site RF communication coverage a National Instruments (NI) Wireless Sensor Network (WSN) module with data acquisition capabilities was selected. The NI WSN-3212 module...

  18. Cubic-based 3-D Localization for Wireless Sensor Networks

    E-Print Network [OSTI]

    Shwe, Hnin Yu; Chong, Peter HJ

    2013-01-01

    Wireless sensor network (WSN) is an emerging technology andwithin each mote in the WSN, it is often costly toimplement this function if the WSN consists of large number

  19. Enabling Long-Lived Sensor Networks Through Solar Energy Harvesting

    E-Print Network [OSTI]

    Jason Hsu; Sadaf Zahedi; Jonathan Friedman; Aman Kansal; Vijay Raghunathan; Mani Srivastava

    2005-01-01

    Sensor Networks through Solar Energy Harvesting Jason Hsu,Heliomote A integrated solar energy harvesting and storageYellow bar represent solar energy received locally Solar

  20. HISTORY High-Speed Network Monitoring and Falko Dressler

    E-Print Network [OSTI]

    Carle, Georg

    . The network monitoring and analysis environment makes it possible to collect information about network traffic off the big picture of a visionary environment for all challenges in network monitoring and analysisHISTORY ­ High-Speed Network Monitoring and Analysis Falko Dressler Autonomic Networking, Dept

  1. Deploying a wireless sensor network in Iceland Kirk Martinez1

    E-Print Network [OSTI]

    Southampton, University of

    Deploying a wireless sensor network in Iceland Kirk Martinez1 , Jane K. Hart2 , Royan Ong3 1-School network was used rather than our more complex TDMA-based protocol [7] in order to simplify debugging

  2. Opportunities to save energy and improve comfort by using wireless sensor networks in buildings

    E-Print Network [OSTI]

    Wang, Danni; Arens, Edward; Federspiel, Cliff

    2003-01-01

    realization of ultra-low energy wireless sensor networks.TO SAVE ENERGY AND IMPROVE COMFORT BY USING WIRELESS SENSOR

  3. Electrochemical sensor for monitoring electrochemical potentials of fuel cell components

    DOE Patents [OSTI]

    Kunz, Harold R. (Vernon, CT); Breault, Richard D. (Coventry, CT)

    1993-01-01

    An electrochemical sensor comprised of wires, a sheath, and a conduit can be utilized to monitor fuel cell component electric potentials during fuel cell shut down or steady state. The electrochemical sensor contacts an electrolyte reservoir plate such that the conduit wicks electrolyte through capillary action to the wires to provide water necessary for the electrolysis reaction which occurs thereon. A voltage is applied across the wires of the electrochemical sensor until hydrogen evolution occurs at the surface of one of the wires, thereby forming a hydrogen reference electrode. The voltage of the fuel cell component is then determined with relation to the hydrogen reference electrode.

  4. Network lifetime maximization for time-sensitive data gathering in wireless sensor networks

    E-Print Network [OSTI]

    Liang, Weifa

    or human inaccessible environments such as battlefields or nuclear polluted re- gions. Therefore, energy Keywords: Wireless sensor networks Network lifetime prolongation Energy optimization Load-balanced spanning tree Network flow Algorithm design a b s t r a c t Energy-constrained sensor networks have been widely

  5. Real World Issues in Deploying a Wireless Sensor Network for Oceanography

    E-Print Network [OSTI]

    Kent, University of

    Real World Issues in Deploying a Wireless Sensor Network for Oceanography Jane Tateson, Christopher monitoring, design, deployment 1. INTRODUCTION Oceanography is the study of processes that govern the complex interplay of tides, currents, waves, and seabed and coastal modelling. Oceanography can tell us about

  6. Wireless Sensor Network to Satellite Master thesis in Information and Communication Technology

    E-Print Network [OSTI]

    Brest, Université de

    . Wireless Sensor Network (WSN) currently is a solution for many practical problems in emer- gency and environment controlling. Obviously, WSN is deployed in many regions and works effec- tively to monitor weather opportunities in cooperation between satellite and WSN to control remotely the distant WSN, i.e ocean, desert

  7. Reconfigurable Wireless Interface for Networking Sensors (ReWINS)

    E-Print Network [OSTI]

    California at Los Angeles, University of

    collection/actuation unit (sensors/actuators) is intelligent by virtue of smart to maximize the efficiency and conven- ience in a variety of situations. Intelligent wireless sensors basedReconfigurable Wireless Interface for Networking Sensors (ReWINS) Harish Ramamurthy, B. S. Prabhu

  8. Modelling and Analysis of Wireless Sensor Networks with Energy

    E-Print Network [OSTI]

    Modelling and Analysis of Wireless Sensor Networks with Energy Harvesting Capabilities Nan Wu and energy harvesting may exceed the gain by using them. So, it can be seen as a trade-off in Wireless Sensor a generic modelling framework which can be used to model and analyze energy harvesting aware Wireless Sensor

  9. Provenance and Quality Control in Sensor Networks Barbara Lerner1

    E-Print Network [OSTI]

    Lerner, Barbara Staudt

    . Keywords--provenance metadata, scientific workflow, sensor net- work, Little-JIL I. INTRODUCTION ScientistsProvenance and Quality Control in Sensor Networks Barbara Lerner1 , Emery Boose2 , Leon Osterweil3@cs.umass.edu Abstract--Scientists and society increasingly rely on streaming data from electronic sensors to assess

  10. On Distributed Fault-Tolerant Detection in Wireless Sensor Networks

    E-Print Network [OSTI]

    Dong, Ming

    --Distributed event detection, fault tolerance, sensor fusion, energy-efficiency, wireless sensor networks. ć 1 to choose a proper neighborhood size n for a sensor node in fault correction such that the energy could to achieve better detection and better balance between detection accuracy and energy usage. Our work makes

  11. Random Key-Assignment for Secure Wireless Sensor Networks

    E-Print Network [OSTI]

    Mei, Alessandro

    , Italy. {dipietro,mancini,mei}@dsi.uniroma1.it ABSTRACT A distributed Wireless Sensor Network (WSN to implement secure pair-wise communications among any pair of sensors in a WSN. A WSN requires completely- tablish a secure pair-wise communication channel between any pair of sensors in the WSN, by assigning

  12. Fault-tolerant Sensor Network based on Fault Evaluation Matrix and Compensation for Intermittent Observation

    E-Print Network [OSTI]

    Fault-tolerant Sensor Network based on Fault Evaluation Matrix and Compensation for Intermittent-tolerant sensor network configuration problem for a target navigation. A sensor network system consists of many sensor nodes and its network connections. Each sensor node can exchange information by wireless

  13. Reliable and Energy Efficient Transport Layer for Sensor Networks

    E-Print Network [OSTI]

    Valaee, Shahrokh

    Reliable and Energy Efficient Transport Layer for Sensor Networks Petar Djukic and Shahrokh Valaee Diversity Coded Directed Diffusion (DCDD), a reliable and energy efficient transport protocol for sensor-to-end reliability, as well as the effect of DCDD on energy consumption in the network. Our simulations show

  14. Energy-Efficient Routing Schemes for Wireless Sensor Networks

    E-Print Network [OSTI]

    Khan, Maleq

    -configuration. Data-centric routing is a new use- ful paradigm for energy-constrained sensor networks. The data coming config- urations and data-centric routing schemes to minimize en- ergy consumption for both random processes, Opti- mization, Sensor networks, Data-centric routing. I. INTRODUCTION AND OVERVIEW Advances

  15. Energy-Efficient Surveillance System Using Wireless Sensor Networks

    E-Print Network [OSTI]

    Stankovic, John A.

    Energy-Efficient Surveillance System Using Wireless Sensor Networks Tian He, Sudha Krishnamurthy networks, is of great prac- tical importance for the military. Because of the energy constraints of sensor devices, such systems necessitate an energy-aware design to ensure the longevity of surveillance missions

  16. A Bayesian Decision Model for Intelligent Routing in Sensor Networks

    E-Print Network [OSTI]

    Marques, Antonio Garcia

    A Bayesian Decision Model for Intelligent Routing in Sensor Networks Roc´io Arroyo-Valles, Antonio are considered in a Bayesian model in order to establish intelligent decision rules that make the network economize in crucial resources. I. INTRODUCTION Recent advances in sensor technology and wireless com

  17. SDRT: A Reliable Data Transport Protocol for Underwater Sensor Networks

    E-Print Network [OSTI]

    Cui, Jun-Hong

    activities such as scientific exploration and commercial exploitation, underwater sensor networks empower us networks, for mission critical applications, reliable data transport is demanded in under- water sensor channels is limited and depends on both transmission range and frequency [8], [24], [5], [6]. According

  18. Reducing Information Gathering Latency through Mobile Aerial Sensor Network

    E-Print Network [OSTI]

    Lau, Francis C.M.

    for information gathering through a Mobile Aerial Sensor Network (MASN). We adopt the Hive-Drone model [5] where (Drones) is strategically placed in the sensing field. We then face the challenges of how to control a Mobile Aerial Sensor Network (MASN) based on the Hive- Drone model [5]. MASN comprises a swarm of Micro

  19. Energy Analysis of Four Wireless Sensor Network MAC Protocols

    E-Print Network [OSTI]

    Kinicki, Robert E.

    Energy Analysis of Four Wireless Sensor Network MAC Protocols Brian Bates, Andrew Keating, Robert which reduce radio energy consumption is important for wireless sensor networks (WSNs). The most-aware MAC protocols were implemented in TinyOS on TelosB motes. Indoor energy measurements over a single

  20. Power-aware Base Station Positioning for Sensor Networks

    E-Print Network [OSTI]

    Bogdanov, Andrej

    Power-aware Base Station Positioning for Sensor Networks Andrej Bogdanov Elitza Maneva Samantha station, where the data can be processed. There are several power metrics that one can consider optimizing consider the problem of positioning data collecting base stations in a sensor network. We show

  1. Energy Efficiency of Encryption Schemes Applied to Wireless Sensor Networks

    E-Print Network [OSTI]

    Heys, Howard

    Energy Efficiency of Encryption Schemes Applied to Wireless Sensor Networks Xueying Zhang, Howard M (ICC 2010), Cape Town, South Africa, May 2010, and "Energy Efficiency of Symmetric Key Cryptographic In this paper, we focus on the energy efficiency of secure communication in wireless sensor networks (WSNs). Our

  2. Routing Correlated Data with Fusion Cost in Wireless Sensor Networks

    E-Print Network [OSTI]

    Liu, Yonghe

    Tree (MFST), for energy efficient data gathering with aggregation (fusion) in wireless sensor networks] that energy consumption of a beamforming algorithm for acoustic signal fusion is on the same order1 Routing Correlated Data with Fusion Cost in Wireless Sensor Networks Hong Luo, Jun Luo, Yonghe

  3. Genetic Programming Techniques for Sensor Networks Thomas Weise, Kurt Geihs

    E-Print Network [OSTI]

    Fernandez, Thomas

    in terms of energy and not reliable either. Furthermore, the topology of sensor networks is volatile construction of wind turbines to pattern-recognition systems. The application of Genetic AlgorithmsGenetic Programming Techniques for Sensor Networks Thomas Weise, Kurt Geihs University of Kassel

  4. Reaction-Diffusion Patterns in Smart Sensor Networks

    E-Print Network [OSTI]

    Reaction-Diffusion Patterns in Smart Sensor Networks Thomas C. Henderson, Ramya Venkataraman and Gyounghwa Choikim UUCS-03-022 School of Computing University of Utah Salt Lake City, UT 84112 USA 5 November-level tasks in smart sensor networks (S-Nets). This has led us to explore various biologically motivated

  5. ReactionDiffusion Patterns in Smart Sensor Networks

    E-Print Network [OSTI]

    Reaction­Diffusion Patterns in Smart Sensor Networks Thomas C. Henderson, Ramya Venkataraman and Gyounghwa Choikim UUCS­03­022 School of Computing University of Utah Salt Lake City, UT 84112 USA 5 November­level tasks in smart sensor networks (S­Nets). This has led us to explore various biologically motivated

  6. Robust Target Localization from Binary Decisions in Wireless Sensor Networks

    E-Print Network [OSTI]

    Levina, Liza

    Wireless sensor networks (WSN) are becoming an important tool in a variety of tasks, including mon- itoring on Wireless Sensor Networks (WSN) Detection, identification and tracking of spatial phenomena are important, computing and storage capabilities. In a WSN, the nodes are linked by a wireless medium ­ radio, infrared

  7. Infrastructure for Testing Nodes of a Wireless Sensor Network

    E-Print Network [OSTI]

    Zilic, Zeljko

    , low energy wireless sensor network (WSN) nodes is a major concern. One way to maintain a reliable. To further reduce test energy, compression algorithms compatible with WSN nodes are explored for use on test circuitry applied to a WSN node. INTRODUCTION Wireless sensor networks (WSN) have become available for use

  8. Wireless sensor networks under the random pairwise key predistribution scheme

    E-Print Network [OSTI]

    Yagan, Osman

    Wireless sensor networks under the random pairwise key predistribution scheme: Can resiliency, College Park, MD 20742. Email: armand@isr.umd.edu Abstract--We investigate the resiliency of wireless the classical key predistribution scheme of Eschenauer and Gligor. Keywords: Wireless sensor networks, Security

  9. Router Placement in Wireless Sensor Networks Michael Ahlberg

    E-Print Network [OSTI]

    Vlassov, Vladimir

    Router Placement in Wireless Sensor Networks Michael Ahlberg School of Information be met by placing as few routers as possible. I. INTRODUCTION Wireless sensor networks are a relatively Electric Corporation Amagasaki, Japan Email: Yasui.Terumasa@db.mitsubishielectric.co.jp Abstract-- Wireless

  10. ESTR -Energy Saving Token Ring Protocol for Wireless Sensor Networks

    E-Print Network [OSTI]

    Ungerer, Theo

    of California, Irvine, USA, Phone: (949) 824-8720, email: nader@uci.edu mode. The energy cost rises enormouslyESTR - Energy Saving Token Ring Protocol for Wireless Sensor Networks Faruk Bagci, Theo Ungerer and Nader Bagherzadeh Abstract--Most wireless sensor networks rely on battery energy. In applications

  11. Sensor Networking Using Two-Dimensional Electromagnetic Wave Yasutoshi Makino*

    E-Print Network [OSTI]

    Shinoda, Hiroyuki

    causes wastes of energy and interferences of communication. Since intense elec- tromagnetic waveSensor Networking Using Two-Dimensional Electromagnetic Wave Yasutoshi Makino* , Kouta Minamizawa* , and Hiroyuki Shinoda* In this paper, we propose a new technology for sensor networks named "Two Dimensional

  12. Self-Triggered Control over Wireless Sensor and Actuator Networks

    E-Print Network [OSTI]

    Johansson, Karl Henrik

    Self-Triggered Control over Wireless Sensor and Actuator Networks Jos´e Ara´ujo, Adolfo Anta for the sensor and control nodes, thereby reducing energy consumption and increasing network lifetime, without- oped to reduce power consumption in WSNs. Unfortunately, the situation is much less favorable

  13. DAG-based Multipath Routing for Mobile Sensor Networks

    E-Print Network [OSTI]

    Choi, Lynn

    DAG-based Multipath Routing for Mobile Sensor Networks Ki-Sup Hong and Lynn Choi School of Electrical Engineering Korea University Seoul, Korea {mastaks, lchoi@korea.ac.kr} Abstract--We propose a new multipath routing protocol called DMR for mobile sensor networks, where any node can move anytime. DMR

  14. An Information-sharing Architecture for Wireless Sensor Networks

    E-Print Network [OSTI]

    Heinzelman, Wendi

    1 An Information-sharing Architecture for Wireless Sensor Networks Christophe J. Merlin and Wendi B. Heinzelman Department of Electrical and Computer Engineering, University of Rochester, Rochester NY {merlin for a unifying wireless sensor networks archi- tecture that provides more integration than the standard layered

  15. MEDIUM ACCESS CONTROL LAYER FOR UNDERWATER SENSOR NETWORKS*

    E-Print Network [OSTI]

    Chen, Min

    sensor networks, energy-efficient reliable MAC protocol, and slotted FAMA MAC protocol and low1 CHAPTER 1 MEDIUM ACCESS CONTROL LAYER FOR UNDERWATER SENSOR NETWORKS* Yanping Zhang* , Yang Xiao of Alabama Tuscaloosa, AL 35487-0290 USA E-mail: yangxiao@ieee.org + Dept. of Electrical and Computer

  16. Energy efficient strategies for wireless sensor networks with varying connectivity properties

    E-Print Network [OSTI]

    Kam, Clement

    2010-01-01

    B. Sri- vastava. Energy-aware wireless microsensor networks.Passarella. Energy conservation in wireless sensor networks:SAN DIEGO Energy Efficient Strategies for Wireless Sensor

  17. Wireless Industrial Monitoring and Control using a Smart Sensor Platform

    E-Print Network [OSTI]

    California at Los Angeles, University of

    Wireless Industrial Monitoring and Control using a Smart Sensor Platform Harish Ramamurthy, B. S/RF link specific firmware modules `over-the-air'. Sample implementations for industrial applications attention of the industry on account of reduced costs, better power management, ease in maintenance

  18. A Mountain-Scale Monitoring Network for Yucca Mountain Performance Confirmation

    E-Print Network [OSTI]

    Freifeld, Barry; Tsang, Yvonne

    2006-01-01

    multifunction borings, monitoring temperature and pressure,Monitoring Network Parameters. Monitored Parameter Temperaturetemperature and pressure measurement capabilities. Multilevel monitoring

  19. Maximizing Network Lifetime Via 3G Gateway Assignment in Dual-Radio Sensor Networks

    E-Print Network [OSTI]

    Liang, Weifa

    - ments, such as temperature, humidity, wind, solar radiation, etc. [3]. Sensor nodes are typically as well as in the idling cost [5]. If all sensors are gateways, they will run out of energy within a shortMaximizing Network Lifetime Via 3G Gateway Assignment in Dual-Radio Sensor Networks Xu Xu, Weifa

  20. Nondestructive Monitoring of a Pipe Network using a MEMS-Based Wireless Network

    E-Print Network [OSTI]

    Shinozuka, Masanobu

    , MEMS sensors, ruptures, wireless sensor network 1. INTRODUCTION Pressurized pipeline systems-electro-mechanical systems (MEMS)-based wireless sensor network (WSN). It is composed of sensing nodes, each of which for data uplink. A sensor board is equipped with MEMS accelerometers for measuring vibration

  1. Design and Implementation of a Wireless Sensor Network for Smart Homes

    E-Print Network [OSTI]

    Xu, Ming; Xia, Feng; Yuan, Tengkai; Qian, Jixin; Shao, Meng

    2010-01-01

    Wireless sensor networks (WSNs) have become indispensable to the realization of smart homes. The objective of this paper is to develop such a WSN that can be used to construct smart home systems. The focus is on the design and implementation of the wireless sensor node and the coordinator based on ZigBee technology. A monitoring system is built by taking advantage of the GPRS network. To support multi-hop communications, an improved routing algorithm based on the Dijkstra algorithm is presented. Preliminary simulations have been conducted to evaluate the performance of the algorithm.

  2. Using Routing Data for Information Authentication in Sensor Networks Vijay Bhuse, Ajay Gupta, Mark Terwilliger, Zijiang Yang, Zill-E-Huma Kamal

    E-Print Network [OSTI]

    Terwilliger, Mark

    tamper with them or compromise some nodes. Sensor nodes are severely resource constrained in terms. If sensors are deployed for monitoring a railway crossing, an adversary can cause accidents. One can easily-way functions are computationally intensive. Sensor networks are energy constrained so implementing

  3. SEI 2: Embedded Wired and Wireless Seismic Networks for Structural Health Monitoring

    E-Print Network [OSTI]

    2006-01-01

    Networks for Structural Health Monitoring Monica Kohler,network for structural health monitoring. state - of - the -network for structural health monitoring. Changes in the

  4. On Perimeter Coverage Scheduling in Wireless Sensor Networks

    E-Print Network [OSTI]

    Tam, Vincent W. L.

    is to monitor the whole target object as long as possible. In this paper, we first discuss the sufficient monitoring, target tracking, disaster management [1]. Traditionally, coverage problems concern whether- based schedule, we need to identify a set of sensors to monitor the target perimeter in ea

  5. Time and Location in Sensor Networks Institute for Pervasive Computing

    E-Print Network [OSTI]

    the observed physical processes. Examples include monitoring the be- havior of animals in their natural habitats, monitoring the spreading of environmental pollutions in air and water, and monitoring seismic influences. The small size severely limits the onboard resources of a sensor node (energy, communication

  6. Irrigation Monitoring with Soil Water Sensors 

    E-Print Network [OSTI]

    Enciso, Juan; Porter, Dana; Peries, Xavier

    2007-01-19

    .3?4.5 1.6?3.3 Turf grass Cool season Warm season 40 50 1.6?2.2 1.6?2.2 Sugarcane 65 4.0?6.5 Trees Apricots, peaches 50 3.3?6.6 Citrus 70% canopy 50% canopy 20% canopy 50 50 50 4.0?5.0 3.6?5.0 2.6?3.6 Conifer trees 70 3.3?4.5 Walnut orchard 50 5... the sensor leads for subsequent readings. Table 3. Recommended allowable soil moisture tensions for selected crops. Crop Tension centibars Alfalfa 80?150 Cabbage 60?70 Cantaloupe 35?40 Carrot 55?65 Cauliflower 60?70 Celery 20?30 Citrus 50?70 Corn (sweet...

  7. Projects To Develop Novel Monitoring Networks for Advanced Power...

    Broader source: Energy.gov (indexed) [DOE]

    novel approaches in model development and validation; monitoring refractory health; and wireless, self-powered sensors for advanced, next-generation power systems. They will...

  8. QoS-oriented Integrated Network Planning for Industrial Wireless Sensor Networks

    E-Print Network [OSTI]

    Breu, Ruth

    , Industry Automation Division, Germany {feng.chen,german,dressler}@informatik.uni-erlangen.de Abstract including industrial automation. This also includes Wireless Sensor Network (WSN) technology [1] basedQoS-oriented Integrated Network Planning for Industrial Wireless Sensor Networks Feng Chen

  9. Efficient In-Network Moving Object Tracking in Wireless Sensor Networks

    E-Print Network [OSTI]

    Tseng, Yu-Chee

    -sensing MEMS technologies has made wireless sensor networks possible. Such environments may have manyEfficient In-Network Moving Object Tracking in Wireless Sensor Networks Chih-Yu Lin, Wen-Chih Peng-Chee Tseng) Abstract The rapid progress of wireless communication and embedded micro-sensing MEMS tech

  10. Distributed Environmental Monitoring Using Random Sensor Networks

    E-Print Network [OSTI]

    Simić, Slobodan N.

    applications in preventing forest fires, energy conserva- tion, oceanography, building science, etc. We (such as heat sources in the context of forest fires) and notifying the base station which can then take

  11. The Community Environmental Monitoring Program in the 21st Century: The Evolution of a Monitoring Network

    SciTech Connect (OSTI)

    Hartwell, W.T.; Tappen, J.; Karr, L.

    2007-01-19

    This paper focuses on the evolution of the various operational aspects of the Community Environmental Monitoring Program (CEMP) network following the transfer of program administration from the U.S. Environmental Protection Agency (EPA) to the Desert Research Institute (DRI) of the Nevada System of Higher Education in 1999-2000. The CEMP consists of a network of 29 fixed radiation and weather monitoring stations located in Nevada, Utah, and California. Its mission is to involve stakeholders directly in monitoring for airborne radiological releases to the off site environment as a result of past or ongoing activities on the Nevada Test Site (NTS) and to make data as transparent and accessible to the general public as feasible. At its inception in 1981, the CEMP was a cooperative project of the U.S. Department of Energy (DOE), DRI, and EPA. In 1999-2000, technical administration of the CEMP transitioned from EPA to DRI. Concurrent with and subsequent to this transition, station and program operations underwent significant enhancements that furthered the mission of the program. These enhancements included the addition of a full suite of meteorological instrumentation, state-of-the-art electronic data collectors, on-site displays, and communications hardware. A public website was developed. Finally, the DRI developed a mobile monitoring station that can be operated entirely on solar power in conjunction with a deep-cell battery, and includes all meteorological sensors and a pressurized ion chamber for detecting background gamma radiation. Final station configurations have resulted in the creation of a platform that is well suited for use as an in-field multi-environment test-bed for prototype environmental sensors and in interfacing with other scientific and educational programs. Recent and near-future collaborators have included federal, state, and local agencies in both the government and private sectors. The CEMP also serves as a model for other programs wishing to involve stakeholders with a meaningful role in the process of monitoring and data collection.

  12. The Community Seismic Network and Quake-Catcher Network: enabling structural health monitoring through instrumentation by

    E-Print Network [OSTI]

    Greer, Julia R.

    The Community Seismic Network and Quake-Catcher Network: enabling structural health monitoring, structural health monitoring 1. INTRODUCTION The Community Seismic Network (CSN) and Quake-Catcher Network-Catcher Network are examples of this, in which observational-based structural monitoring is carried out using

  13. Piezoresistive cantilever array sensor for consolidated bioprocess monitoring

    SciTech Connect (OSTI)

    Kim, Seonghwan Sam; Rahman, Touhidur; Senesac, Larry R; Davison, Brian H; Thundat, Thomas George

    2009-01-01

    Cellulolytic microbes occur in diverse natural niches and are being screened for industrial modification and utility. A microbe for Consolidated bioprocessing (CBP) development can rapidly degrade pure cellulose and then ferment the resulting sugars into fuels. To identify and screen for novel microbes for CBP, we have developed a piezoresistive cantilever array sensor which is capable of simultaneous monitoring of glucose and ethanol concentration changes in a phosphate buffer solution. 4-mercaptophenylboronic acid (4-MPBA) and polyethyleneglycol (PEG)-thiol are employed to functionalize each piezoresistive cantilever for glucose and ethanol sensing, respectively. Successful concentration measurements of glucose and ethanol with minimal interferences are obtained with our cantilever array sensor.

  14. Characterization, monitoring, and sensor technology catalogue

    SciTech Connect (OSTI)

    Matalucci, R.V.; Esparza-Baca, C.; Jimenez, R.D.

    1995-12-01

    This document represents a summary of 58 technologies that are being developed by the Department of Energy`s (DOE`s) Office of Science and Technology (OST) to provide site, waste, and process characterization and monitoring solutions to the DOE weapons complex. The information was compiled to provide performance data on OST-developed technologies to scientists and engineers responsible for preparing Remedial Investigation/Feasibility Studies (RI/FSs) and preparing plans and compliance documents for DOE cleanup and waste management programs. The information may also be used to identify opportunities for partnering and commercialization with industry, DOE laboratories, other federal and state agencies, and the academic community. Each technology is featured in a format that provides: (1) a description, (2) technical performance data, (3) applicability, (4) development status, (5) regulatory considerations, (6) potential commercial applications, (7) intellectual property, and (8) points-of-contact. Technologies are categorized into the following areas: (1) Bioremediation Monitoring, (2) Decontamination and Decommissioning, (3) Field Analytical Laboratories, (4) Geophysical and Hydrologic Characterization, (5) Hazardous Inorganic Contaminant Analysis, (6) Hazardous Organic Contaminant Analysis, (7) Mixed Waste, (8) Radioactive Contaminant Analysis, (9) Remote Sensing,(10)Sampling and Drilling, (11) Statistically Guided Sampling, and (12) Tank Waste.

  15. Optimal Transmission Radius for Flooding in Large Scale Sensor Networks

    E-Print Network [OSTI]

    Krishnamachari, Bhaskar

    1 Optimal Transmission Radius for Flooding in Large Scale Sensor Networks Marco Z´u~niga Z and bandwidth resources, the flooded packet may keep the transmission medium within the network busy for too long, reducing overall network throughput. We analyze the impact of the transmission radius

  16. Energy Efficient Signal Acquisition in Wireless Sensor Networks : A Compressive

    E-Print Network [OSTI]

    Cambridge, University of

    and transmission. To save the energy in WSNs and thus prolong the network lifetime, we present a novel approach1 Energy Efficient Signal Acquisition in Wireless Sensor Networks : A Compressive Sensing Framework networks (WSNs) determines the rate of its energy consumption since most of the energy is used in sampling

  17. Predictive Scheduling for Spatial-dependent Tasks in Wireless Sensor Networks

    E-Print Network [OSTI]

    Wu, Jie

    --Vehicle scheduling, spatial dependency, wireless charging I. INTRODUCTION Sensor networks are deployed for various

  18. Holme et al. Soil Redox Sensor Networks RADIO FREQUENCY ENABLED SOIL REDOX POTENTIAL

    E-Print Network [OSTI]

    Rubinstein, Benjamin

    Holme et al. Soil Redox Sensor Networks RADIO FREQUENCY ENABLED SOIL REDOX POTENTIAL SENSOR technologies that may be combined into a cost effective soil redox sensor network, discuss the merits of each as a component of said network, describe a prototype soil redox sensor network and perform basic laboratory

  19. Mobile Air Pollution Monitoring Network W. Hedgecock, P. Vlgyesi, A. Ledeczi,

    E-Print Network [OSTI]

    Koutsoukos, Xenofon D.

    Mobile Air Pollution Monitoring Network W. Hedgecock, P. Völgyesi, A. Ledeczi, X. Koutsoukos, and A- resolution realtime pollution data at any location within the coverage area. We have prototyped sensors exposure to a given pollutant. Categories and Subject Descriptors H.4 [Information Systems Applications

  20. Network Monitoring in Multicast Networks Using Network Coding

    E-Print Network [OSTI]

    Ho, Tracey

    , and give some experimental results for one and two link failures in randomly generated networks. We also inference of possible locations of link failures or losses in a network. For distributed randomized network coding, we bound the probability of being able to distinguish among a given set of failure events

  1. Thermal Energy Harvesting with Thermoelectrics for Self-powered Sensors: With Applications to Implantable Medical Devices, Body Sensor Networks and Aging in Place

    E-Print Network [OSTI]

    Chen, Alic

    2011-01-01

    R. M. White, “A MEMS AC current sensor for residential anddevices [11-13], MEMS AC current sensor [14] and MEMSwireless sensor applications and medical monitoring. MEMS-

  2. Finite Element Simulation of Piezoelectric Wafer Active Sensors for Structural Health Monitoring with Coupled-Filed

    E-Print Network [OSTI]

    Giurgiutiu, Victor

    Finite Element Simulation of Piezoelectric Wafer Active Sensors for Structural Health Monitoring) is emerging as an effective and powerful technique in structural health monitoring (SHM). Modeling to analytical calculation and experimental data. Key words: Structural Health Monitoring, PWAS, finite element

  3. Structural Health Monitoring with Piezoelectric Wafer Active Sensors for Space Applications

    E-Print Network [OSTI]

    Giurgiutiu, Victor

    Structural Health Monitoring with Piezoelectric Wafer Active Sensors for Space Applications Adrian detection and structural health monitoring. Where appropriate, comparison between different methods-coupling coefficient I. Introduction STRUCTURAL health monitoring (SHM) is an emerging research area with multiple

  4. A non invasive, wearable sensor platform for multi-parametric remote monitoring in CHF

    E-Print Network [OSTI]

    Lu?trek, Mitja

    ; Congestive Heart Failure (CHF); Multi- parametric monitoring; Electrocardiogram (ECG); Skin temperature1 A non invasive, wearable sensor platform for multi-parametric remote monitoring in CHF patients parameters. In this context, accurate and reliable remote monitoring solutions based on state

  5. Demo Abstract: GSN, Quick and Simple Sensor Network Deployment

    E-Print Network [OSTI]

    Aberer, Karl

    to renewable energy resources. While the set of defined research problems in the wireless sensor networks is available for download at http://gsn.sourceforge.net. I. INTRODUCTION AND MOTIVATION The emergence

  6. Power Management for Wireless Sensor Networks Based on Energy Budgets

    E-Print Network [OSTI]

    Turau, Volker

    . The usage of batteries in wireless sensor networks is primarily due to avoiding the wiring cost, i.e., data sources do not continuously provide energy. Consider a solar cell as an example. The power generated

  7. Stealthy attacks and defense strategies in competing sensor networks 

    E-Print Network [OSTI]

    Czarlinska, Aleksandra

    2009-05-15

    The fundamental objective of sensor networks underpinning a variety of applications is the collection of reliable information from the surrounding environment. The correctness of the collected data is especially important in applications involving...

  8. Table of Contents Data Management in Sensor Networks

    E-Print Network [OSTI]

    . . . . . . . . . . . . . . . . . . . . . . . . . . . . 83 Routing Generic Routing Metric and Policies for WSNs Olga Saukh, Pedro Jos´e Marr´on, Andreas . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 196 FlexCup: A Flexible and Efficient Code Update Mechanism for Sensor Networks Pedro Jos´e Marr

  9. Lanai high-density irradiance sensor network for characterizing...

    Office of Scientific and Technical Information (OSTI)

    Lanai high-density irradiance sensor network for characterizing solar resource variability of MW-scale PV system. Citation Details In-Document Search Title: Lanai high-density...

  10. A Greedy Distributed Time Synchronization Algorithm for Wireless Sensor Networks

    E-Print Network [OSTI]

    Tam, Vincent W. L.

    synchronizations performed. I. INTRODUCTION With the advance in various enabling technologies like Micro-Electro-Mechanical System (MEMS), signal process- ing and wireless communication, wireless sensor networks (WSNs) have drawn

  11. Adaptive sampling and forecasting with mobile sensor networks

    E-Print Network [OSTI]

    Choi, Han-Lim

    2009-01-01

    This thesis addresses planning of mobile sensor networks to extract the best information possible out of the environment to improve the (ensemble) forecast at some verification region in the future. To define the information ...

  12. Managing Wireless Sensor Networks with Supply Chain Strategy

    E-Print Network [OSTI]

    Fang, Yuguang "Michael"

    , logistics and inventory management, and mil- itary reconnaissance, etc. While much research has focused to be a good candidate for sensor networks because it does not involve costly topology maintenance and complex

  13. On Combining Duty-cycling with Network Coding in Flood-based Sensor Networks 

    E-Print Network [OSTI]

    Chandanala, Roja Ramani

    2012-02-14

    Network coding and duty-cycling are two popular techniques for saving energy in wireless sensor networks. To the best of our knowledge, the idea to combine these two techniques, for even more aggressive energy savings, ...

  14. Sensor network and soft sensor design for stable nonlinear dynamic systems 

    E-Print Network [OSTI]

    Singh, Abhay Kumar

    2006-10-30

    In chemical processes, online measurements of all the process variables and parameters required for process control, monitoring and optimization are seldom available. The use of soft sensors or observers is, therefore, ...

  15. Attack-Resistant Location Estimation in Sensor (Revised August 2005)

    E-Print Network [OSTI]

    Ning, Peng

    role in many sensor network applications. Not only do applications such as environment monitoring and target tracking require sensors' location information to fulfill their tasks, but several fundamental

  16. Wireless Sensor Networks (WSN) consist of small, low-cost, resource-constrained embedded computers equipped with low-power radios and various sensors. When deployed, they form

    E-Print Network [OSTI]

    Maróti, Miklós

    Wireless Sensor Networks (WSN) consist of small, low-cost, resource-constrained embedded computers, healthcare, structural monitoring and the military among others. Many WSN applications rely on the location as they require no specialized hardware; they use the radio chip readily available on WSN nodes. RSS-based ranging

  17. Landmark-Based Information Storage and Retrieval in Sensor Networks

    E-Print Network [OSTI]

    Guibas, Leonidas J.

    , and data-centric storage/retrieval scheme for information producers and informa- tion consumers in sensor the data it gathers. Previous work has addressed data-centric routing [1], [10], [11], [15] and data-centric storage [16] as efficient data management schemes for sensor networks. In data-centric routing, low

  18. Distributed Problem Solving in Sensor Networks Weixiong Zhang

    E-Print Network [OSTI]

    Zhang, Weixiong

    , resource allocation 1. SENSOR NETWORKS In recent years, the technology of micro-electro-mechanical sys- tems (MEMS) has made rapid advances. Various smart devices, such as sensors and actuators with some-world applications [4, 5]. To meet the needs of vast de- mands of MEMS in various application domains

  19. ENERGY-EFFICIENT COOPERATIVE COMMUNICATION IN CLUSTERED WIRELESS SENSOR NETWORKS

    E-Print Network [OSTI]

    Cui, Jun-Hong

    ENERGY-EFFICIENT COOPERATIVE COMMUNICATION IN CLUSTERED WIRELESS SENSOR NETWORKS Zhong Zhou1, cooperative transmission can dramatically reduce the total energy consumption even when all the collaboration forward the message to an- other cluster via cooperative communication techniques. Only those sensors

  20. Semantic Analysis of Gossip Protocols for Wireless Sensor Networks

    E-Print Network [OSTI]

    Merro, Massimo

    , temperature); they are used as embedded systems (e.g., biomedical sensor engineering, smart homes) or mobile sensor networks. A simulation theory is developed to compare probabilistic protocols that have similar are usually based on discrete-event simulators (e.g., ns-2, Opnet and Glomosim). However, different simulators

  1. Key Distribution Mechanisms for Wireless Sensor Networks: a Survey

    E-Print Network [OSTI]

    Bystroff, Chris

    . A wireless sensor network (WSN) is composed of large number of sensor nodes with limited power, computation of the nodes increases. If the environment is uncontrolled or the WSN is very large, deployment has to be per] and [Zou and Chakrabarty 2003], this may not be possible for a large scale WSN. Security in WSN has six

  2. Uniform Sensing Protocol for Autonomous Rechargeable Sensor Networks

    E-Print Network [OSTI]

    Bölöni, Ladislau L

    real-world applications. Some approaches re- quire that a WSN be self-sufficient, meaning that it must access to individual sensors. Ad- ditionally, some WSN applications require the network to be operational) a WSN requires a way to organize and schedule the sensor nodes in an autonomous manner, and 2) a WSN

  3. Analytical Analysis of Data and Decision Fusion in Sensor Networks

    E-Print Network [OSTI]

    Terwilliger, Mark

    Analytical Analysis of Data and Decision Fusion in Sensor Networks Zille Huma Kamal, Mohammad Ali Michigan University Kalamazoo, MI, USA Abstract - MEMS technology has improved such that the capabilities of large sensor devices can now be encompassed in devices that are the size of a penny. These resource

  4. Fast Data Collection in Tree-Based Wireless Sensor Networks

    E-Print Network [OSTI]

    Krishnamachari, Bhaskar

    Fast Data Collection in Tree-Based Wireless Sensor Networks O¨ zlem Durmaz Incel, Amitabha Ghosh be streamed from a set of sensors to a sink over a tree-based topology?" We study two types of data collection suffice to eliminate most of the interference. Then, the data collection rate no longer remains limited

  5. An Analog MVUE for a Wireless Sensor Network Leena Zacharias

    E-Print Network [OSTI]

    Sundaresan, Rajesh

    . Embassy Star, 4th Floor, 8 Palace Road Bangalore 560052, India Email: lzacharias@beceem.com Rajesh layer fusion mechanism in this paper. The setting is as follows. · The network has L sensors that make. · The deterministic channel gain from the lth sensor to the fusion centre is hl R+ and is assumed to be known

  6. Probabilistic Data Collection Protocols for Energy Harvesting Sensor Networks

    E-Print Network [OSTI]

    Shinozuka, Masanobu

    Probabilistic Data Collection Protocols for Energy Harvesting Sensor Networks Masaya Yoshida ambient energy sources include solar, vibration, heat and wind. However, sensor nodes powered by energy protocols for power-efficient data collection have been proposed [1][2]. Recently, energy harvesting has

  7. Resource Allocation in Sensor Networks with Renewable Energy

    E-Print Network [OSTI]

    Koksal, Can Emre

    Resource Allocation in Sensor Networks with Renewable Energy (Invited Paper) Zhoujia Mao Department@ece.osu.edu Abstract--Renewable energy sources can be attached to sensor nodes to provide energy replenishment of the deployment challenges. These renewable sources of energy could be attached to the nodes and would typically

  8. Effective Scheduling for Coded Distributed Storage in Wireless Sensor Networks

    E-Print Network [OSTI]

    Boucherie, Richard J.

    A distributed storage approach is proposed to access data reliably and to cope with node failures in wireless environments, the wireless sen- sor network is vulnerable to sensor device failures, and unreliable precisely, we address the following problem. Data is generated by a single sensor device and needs

  9. Sensor Networks Challenges for Intelligent Buildings Alberto Eduardo Cerpa

    E-Print Network [OSTI]

    Cerpa, Alberto E.

    research challenges to realize sensor network technology for intelligent buildings. Hardware Cost: the current cost of each individual sensor unit is still very high. Commercially available platforms cost prototypes of low-power consumption cameras costing in the order of $200 per unit [4]. It is critical

  10. Airplanes Aloft as a Sensor Network for Wind Forecasting

    E-Print Network [OSTI]

    Horvitz, Eric

    Airplanes Aloft as a Sensor Network for Wind Forecasting Ashish Kapoor, Zachary Horvitz, Spencer for observing weather phenomena at a continental scale. We focus specifically on the problem of wind forecasting with the sensed winds. The experiments show the promise of using airplane in flight as a large-scale sensor

  11. Transport Layer Approaches for Improving Idle Energy in Challenged Sensor Networks

    E-Print Network [OSTI]

    Singh, Jaswinder Pal

    Transport Layer Approaches for Improving Idle Energy in Challenged Sensor Networks Yong Wang, Chieh Terms Design, Performance Keywords DTN, challenged sensor networks, idle energy, transport protocol, the study of energy efficient networking solutions in sensor networks has been focusing on networks

  12. ODU Sensor Network Research Group 11 Information assuranceInformation assurance

    E-Print Network [OSTI]

    Goddard, Wayne

    network (WSN)Wireless sensor network (WSN) Massive number of sensors densely deployed in the area Network Research Group 1111 Our view of a WSN system sensorssensors local sink nodelocal sink node (in

  13. Monitoring system including an electronic sensor platform and an interrogation transceiver

    DOE Patents [OSTI]

    Kinzel, Robert L.; Sheets, Larry R.

    2003-09-23

    A wireless monitoring system suitable for a wide range of remote data collection applications. The system includes at least one Electronic Sensor Platform (ESP), an Interrogator Transceiver (IT) and a general purpose host computer. The ESP functions as a remote data collector from a number of digital and analog sensors located therein. The host computer provides for data logging, testing, demonstration, installation checkout, and troubleshooting of the system. The IT transmits signals from one or more ESP's to the host computer to the ESP's. The IT host computer may be powered by a common power supply, and each ESP is individually powered by a battery. This monitoring system has an extremely low power consumption which allows remote operation of the ESP for long periods; provides authenticated message traffic over a wireless network; utilizes state-of-health and tamper sensors to ensure that the ESP is secure and undamaged; has robust housing of the ESP suitable for use in radiation environments; and is low in cost. With one base station (host computer and interrogator transceiver), multiple ESP's may be controlled at a single monitoring site.

  14. FireStream: Sensor Stream Processing for Monitoring Fire Spread Venkatesh Raghavan1

    E-Print Network [OSTI]

    locations required for spatial analysis, the Sen- sor Store, a collection of metadata pertinent to sensorsFireStream: Sensor Stream Processing for Monitoring Fire Spread Venkatesh Raghavan1 , ElkeStream, a sensor stream processing system which provides services for run-time de- tection, monitoring

  15. Design and Testing of an Impedance-Based Sensor for Monitoring Drug Delivery

    E-Print Network [OSTI]

    Sadoway, Donald Robert

    microelectromechanical systems MEMS device has been fabricated and tested. The sensor consists of two electrodesDesign and Testing of an Impedance-Based Sensor for Monitoring Drug Delivery Audrey M. Johnson, Massachusetts 02139, USA A new impedance-based sensor to monitor drug delivery from an implantable

  16. Wireless Sensor Network for Advanced Energy Management Solutions

    SciTech Connect (OSTI)

    Peter J. Theisen; Bin Lu, Charles J. Luebke

    2009-09-23

    Eaton has developed an advanced energy management solution that has been deployed to several Industries of the Future (IoF) sites. This demonstrated energy savings and reduced unscheduled downtime through an improved means for performing predictive diagnostics and energy efficiency estimation. Eaton has developed a suite of online, continuous, and inferential algorithms that utilize motor current signature analysis (MCSA) and motor power signature analysis (MPSA) techniques to detect and predict the health condition and energy usage condition of motors and their connect loads. Eaton has also developed a hardware and software platform that provided a means to develop and test these advanced algorithms in the field. Results from lab validation and field trials have demonstrated that the developed advanced algorithms are able to detect motor and load inefficiency and performance degradation. Eaton investigated the performance of Wireless Sensor Networks (WSN) within various industrial facilities to understand concerns about topology and environmental conditions that have precluded broad adoption by the industry to date. A Wireless Link Assessment System (WLAS), was used to validate wireless performance under a variety of conditions. Results demonstrated that wireless networks can provide adequate performance in most facilities when properly specified and deployed. Customers from various IoF expressed interest in applying wireless more broadly for selected applications, but continue to prefer utilizing existing, wired field bus networks for most sensor based applications that will tie into their existing Computerized Motor Maintenance Systems (CMMS). As a result, wireless technology was de-emphasized within the project, and a greater focus placed on energy efficiency/predictive diagnostics. Commercially available wireless networks were only utilized in field test sites to facilitate collection of motor wellness information, and no wireless sensor network products were developed under this project. As an outgrowth of this program, Eaton developed a patented energy-optimizing drive control technology that is complementary to a traditional variable frequency drives (VFD) to enable significant energy savings for motors with variable torque applications, such as fans, pumps, and compressors. This technology provides an estimated energy saving of 2%-10% depending on the loading condition, in addition to the savings obtained from a traditional VFD. The combination of a VFD with the enhanced energy-optimizing controls will provide significant energy savings (10% to 70% depending on the load and duty cycle) for motors that are presently connected with across the line starters. It will also provide a more favorable return on investment (ROI), thus encouraging industries to adopt VFDs for more motors within their facilities. The patented technology is based on nonintrusive algorithms that estimate the instantaneous operating efficiency and motor speed and provide active energy-optimizing control of a motor, using only existing voltage and current sensors. This technology is currently being commercialized by Eaton’s Industrial Controls Division in their next generation motor control products. Due to the common nonintrusive and inferential nature of various algorithms, this same product can also include motor and equipment condition monitoring features, providing the facility owner additional information to improve process uptime and the associated energy savings. Calculations estimated potential energy savings of 261,397GWh/Yr ($15.7B/yr), through retrofitting energy-optimizing VFDs into existing facilities, and incorporating the solution into building equipment sold by original equipment manufacturers (OEMs) and installed by mechanical and electrical contractors. Utilizing MCSA and MPSA for predictive maintenance (PM) of motors and connected equipment reduces process downtime cost and the cost of wasted energy associated with shutting down and restarting the processes. Estimated savings vary depending on the industry segment and equi

  17. Demonstration of damage with a wireless sensor network

    SciTech Connect (OSTI)

    Tanner, Neal A.; Farrar, C. R. (Charles R.)

    2001-01-01

    A damage detection system was developed with commercially available wireless sensors. Statistical process control methods were used to monitor the correlation of vibration data from two accelerometers mounted across a joint. Changes in correlation were used to detect damage to the joint. All data processing was done remotely on a microprocessor integrated with the wireless sensors to allow for the transmission of a simple damaged or undamaged status for each monitored joint. Additionally, a portable demonstration structure was developed to showcase the capabilities of the damage detection system to monitor joint failure in real time.

  18. Intrusion detection and monitoring for wireless networks.

    SciTech Connect (OSTI)

    Thomas, Eric D.; Van Randwyk, Jamie A.; Lee, Erik J.; Stephano, Amanda; Tabriz, Parisa; Pelon, Kristen; McCoy, Damon (University of Colorado, Boulder); Lodato, Mark; Hemingway, Franklin; Custer, Ryan P.; Averin, Dimitry; Franklin, Jason; Kilman, Dominique Marie

    2005-11-01

    Wireless computer networks are increasing exponentially around the world. They are being implemented in both the unlicensed radio frequency (RF) spectrum (IEEE 802.11a/b/g) and the licensed spectrum (e.g., Firetide [1] and Motorola Canopy [2]). Wireless networks operating in the unlicensed spectrum are by far the most popular wireless computer networks in existence. The open (i.e., proprietary) nature of the IEEE 802.11 protocols and the availability of ''free'' RF spectrum have encouraged many producers of enterprise and common off-the-shelf (COTS) computer networking equipment to jump into the wireless arena. Competition between these companies has driven down the price of 802.11 wireless networking equipment and has improved user experiences with such equipment. The end result has been an increased adoption of the equipment by businesses and consumers, the establishment of the Wi-Fi Alliance [3], and widespread use of the Alliance's ''Wi-Fi'' moniker to describe these networks. Consumers use 802.11 equipment at home to reduce the burden of running wires in existing construction, facilitate the sharing of broadband Internet services with roommates or neighbors, and increase their range of ''connectedness''. Private businesses and government entities (at all levels) are deploying wireless networks to reduce wiring costs, increase employee mobility, enable non-employees to access the Internet, and create an added revenue stream to their existing business models (coffee houses, airports, hotels, etc.). Municipalities (Philadelphia; San Francisco; Grand Haven, MI) are deploying wireless networks so they can bring broadband Internet access to places lacking such access; offer limited-speed broadband access to impoverished communities; offer broadband in places, such as marinas and state parks, that are passed over by traditional broadband providers; and provide themselves with higher quality, more complete network coverage for use by emergency responders and other municipal agencies. In short, these Wi-Fi networks are being deployed everywhere. Much thought has been and is being put into evaluating cost-benefit analyses of wired vs. wireless networks and issues such as how to effectively cover an office building or municipality, how to efficiently manage a large network of wireless access points (APs), and how to save money by replacing an Internet service provider (ISP) with 802.11 technology. In comparison, very little thought and money are being focused on wireless security and monitoring for security purposes.

  19. On-Demand Energy Replenishment for Sensor Networks via Wireless Energy Transfer

    E-Print Network [OSTI]

    Liang, Weifa

    On-Demand Energy Replenishment for Sensor Networks via Wireless Energy Transfer Wenzheng Xu, Weifa) to replenish energy to sensors in a wireless sensor network so that none of the sensors will run out of its energy, where sensor batteries can be recharged. Specifically, we first propose a flexible on

  20. An Interactive Context-aware Power Management Technique for Optimizing Sensor Network Lifetime

    E-Print Network [OSTI]

    Simunic, Tajana

    problem in sensor networks equipped with renewable energy sources is deciding how do you allocate energy spatio- temporal granularity. A key problem in sensor networks is deciding how do you allocate energy allocation algorithms in sensor networks. However, for sensors equipped with renewable energy sources

  1. Symmetric Clock Synchronization in Sensor Networks Philipp Sommer

    E-Print Network [OSTI]

    Efficiency 1 Introduction Clock synchronization is a major building block in wire- less sensor networks, and maybe even more importantly, clock synchronization plays a major role in energy efficiency. State-of-the art energy-efficient sen- sor network protocols, e.g. [2], have advanced duty cycling schemes. Nodes

  2. Optimal Transmission Radius for Flooding in Large Scale Sensor Networks

    E-Print Network [OSTI]

    Krishnamachari, Bhaskar

    1 Optimal Transmission Radius for Flooding in Large Scale Sensor Networks Marco Z´u~niga Z. If the transmission radius is not set optimally, the flooded packet may be holding the transmission medium for longer periods than are necessary, reducing overall network throughput. We analyze the impact of the transmission

  3. Understanding Packet Delivery Performance In Dense Wireless Sensor Networks

    E-Print Network [OSTI]

    California at Berkeley, University of

    : an indoor office building, a habitat with moderate foliage, and an open parking lot. Our findings have networks. Categories and Subject Descriptors C.2.1 [Network Architecture and Design]: Wireless interesting implications for the design and evaluation of routing and medium-access protocols for sensor

  4. Lifetime Benefits through Load Balancing in Homogeneous Sensor Networks

    E-Print Network [OSTI]

    Haenggi, Martin

    , battery depletion is emulated so that it becomes possible to actually measure the load balancingLifetime Benefits through Load Balancing in Homogeneous Sensor Networks Daniele Puccinelli network. The use of load balancing schemes can be expected to provide significant lifetime benefits

  5. Building Trees Based On Aggregation Efficiency in Sensor Networks

    E-Print Network [OSTI]

    1 Building Trees Based On Aggregation Efficiency in Sensor Networks Albert F. Harris III, Robin energy efficient operation. We pro- pose a new notion of energy efficiency that can be used to decide where aggregation points in the network should be placed. The main factor affecting energy efficiency

  6. Distributed Symmetric Function Computation in Noisy Wireless Sensor Networks

    E-Print Network [OSTI]

    Srikant, Rayadurgam

    . The network has a special node called the fusion center whose goal is to compute a symmetric function of these measurements. The problem studied is to minimize the total transmission energy used by the network when, and that each sensor uses r units of energy to transmit each bit, where r is the transmission range

  7. SDJS: The Duck Hunter Problem in Wireless Sensor Networks

    E-Print Network [OSTI]

    Beigl, Michael

    SDJS: The Duck Hunter Problem in Wireless Sensor Networks Albert Krohn, Tobias Zimmer, Michael) is a new transmission scheme targeted to highly mobile and ad hoc wireless sys- tems. It is based of devices in a mobile wireless ad hoc network. This new approach can increase the speed of the estimation

  8. DIFS: A Distributed Index for Features in Sensor Networks

    E-Print Network [OSTI]

    Govindan, Ramesh

    of nodes in such networks is energy. Nodes are expected to be long­lived (deployed not for hours minimize energy use. The primary energy consumer in such systems is radio transmission. For one scenario and amount of data produced increase. Consequently, in energy­constrained sensor networks it may be necessary

  9. Analytical Analysis of Data and Decision Fusion in Sensor Networks

    E-Print Network [OSTI]

    Gupta, Ajay

    accuracy and reliability of sensed readings of a network of wireless devices, while increasing the lifetime the significance of CSP might prompt hardware and software designers to optimize wireless sensor networks operations by simple averaging techniques. In practice, d is much larger than f. Therefore, total

  10. Distributed Energy-Efficient Hierarchical Clustering for Wireless Sensor Networks

    E-Print Network [OSTI]

    Holliday, JoAnne

    Distributed Energy-Efficient Hierarchical Clustering for Wireless Sensor Networks Ping Ding, Jo important. In this paper, we propose a distributed weight-based energy-efficient hierarchical clustering of the network topology. Younis and Fahmy [4] propose a Hybrid Energy-Efficient Distributed clustering (HEED

  11. Infuse: A TDMA Based Data Dissemination Protocol for Sensor Networks

    E-Print Network [OSTI]

    Kulkarni, Sandeep

    Infuse: A TDMA Based Data Dissemination Protocol for Sensor Networks Sandeep S. Kulkarni Mahesh of a new program across the network. In this paper, we present Infuse, a time division multiple access (TDMA) based reliable data dis- semination protocol. Infuse takes two input parameters: (i) the choice

  12. Infuse: A TDMA Based Data Dissemination Protocol for Sensor Networks #

    E-Print Network [OSTI]

    Kulkarni, Sandeep

    Infuse: A TDMA Based Data Dissemination Protocol for Sensor Networks # Sandeep S. Kulkarni Mahesh of a new program across the network. In this paper, we present Infuse, a time division multiple access (TDMA) based reliable data dis­ semination protocol. Infuse takes two input parameters: (i) the choice

  13. Structural health monitoring with piezoelectric wafer active sensors predictive modeling and simulation

    E-Print Network [OSTI]

    Giurgiutiu, Victor

    Structural health monitoring with piezoelectric wafer active sensors ­ predictive modeling of the state of the art in structural health monitoring with piezoelectric wafer active sensors and follows with conclusions and suggestions for further work Key Words: structural health monitoring, SHM, nondestructive

  14. APPROACH TO HEALTH MONITORING OFAN AIRCRAFT STRUCTURE WITH RESISTIVE LADDER SENSORS DURING

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    APPROACH TO HEALTH MONITORING OFAN AIRCRAFT STRUCTURE WITH RESISTIVE LADDER SENSORS DURING FULL ladder sensors for health monitoring of an aircraft structure. Cracks forming can affect significantly and its size determination is one of the basic aims for Structural Health Monitoring (SHM) system

  15. Demo: On the High Quality Sensor Placement for Structural Health Monitoring

    E-Print Network [OSTI]

    Wang, Dan

    Demo: On the High Quality Sensor Placement for Structural Health Monitoring Bo Li Dept. of Civil for structural health monitoring systems today. Existing studies on sensor systems from computer science associated with these techniques less useful. We consider the structural health monitoring (SHM) appli

  16. An Energy-Harvesting Sensor Architecture and Toolkit for Building Monitoring and Event Detection

    E-Print Network [OSTI]

    Dutta, Prabal

    --Miscellaneous General Terms Architecture, Design, Experimentation, Performance Keywords Building monitoring, EnergyAn Energy-Harvesting Sensor Architecture and Toolkit for Building Monitoring and Event Detection a new architecture for design- ing building-monitoring focused energy-harvesting sensors. The key

  17. Time Synchronization in Hierarchical TESLA Wireless Sensor Networks

    SciTech Connect (OSTI)

    Jason L. Wright; Milos Manic

    2009-08-01

    Time synchronization and event time correlation are important in wireless sensor networks. In particular, time is used to create a sequence events or time line to answer questions of cause and effect. Time is also used as a basis for determining the freshness of received packets and the validity of cryptographic certificates. This paper presents secure method of time synchronization and event time correlation for TESLA-based hierarchical wireless sensor networks. The method demonstrates that events in a TESLA network can be accurately timestamped by adding only a few pieces of data to the existing protocol.

  18. Clip-on wireless wearable microwave sensor for ambulatory cardiac monitoring

    E-Print Network [OSTI]

    Fletcher, Richard Ribon

    We present a new type of non-contact sensor for use in ambulatory cardiac monitoring. The sensor operation is based on a microwave Doppler technique; however, instead of detecting the heart activity from a distance, the ...

  19. Distributed Source Localization in Wireless Underground Sensor Networks

    E-Print Network [OSTI]

    Chen, Hongyang; Wang, Chen

    2011-01-01

    Node localization plays an important role in many practical applications of wireless underground sensor networks (WUSNs), such as finding the locations of earthquake epicenters, underground explosions, and microseismic events in mines. It is more difficult to obtain the time-difference-of-arrival (TDOA) measurements in WUSNs than in terrestrial wireless sensor networks because of the unfavorable channel characteristics in the underground environment. The robust Chinese remainder theorem (RCRT) has been shown to be an effective tool for solving the phase ambiguity problem and frequency estimation problem in wireless sensor networks. In this paper, the RCRT is used to robustly estimate TDOA or range difference in WUSNs and therefore improves the ranging accuracy in such networks. After obtaining the range difference, distributed source localization algorithms based on a diffusion strategy are proposed to decrease the communication cost while satisfying the localization accuracy requirement. Simulation results c...

  20. Detecting the Influence of Spreading in Social Networks with Excitable Sensor Networks

    E-Print Network [OSTI]

    Pei, Sen; Zheng, Zhiming

    2015-01-01

    Detecting spreading outbreaks in social networks with sensors is of great significance in applications. Inspired by the formation mechanism of human's physical sensations to external stimuli, we propose a new method to detect the influence of spreading by constructing excitable sensor networks. Exploiting the amplifying effect of excitable sensor networks, our method can better detect small-scale spreading processes. At the same time, it can also distinguish large-scale diffusion instances due to the self-inhibition effect of excitable elements. Through simulations of diverse spreading dynamics on typical real-world social networks (facebook, coauthor and email social networks), we find that the excitable senor networks are capable of detecting and ranking spreading processes in a much wider range of influence than other commonly used sensor placement methods, such as random, targeted, acquaintance and distance strategies. In addition, we validate the efficacy of our method with diffusion data from a real-wor...

  1. ADECENTRALIZED APPROACH TOWARDS AUTONOMOUS FAULT DETECTION IN WIRELESS STRUCTURAL HEALTH MONITORING SYSTEMS

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    ADECENTRALIZED APPROACH TOWARDS AUTONOMOUS FAULT DETECTION IN WIRELESS STRUCTURAL HEALTH MONITORING structural health monitoring (SHM) systems may reduce the monitoring quality and, if remaining undetected : Autonomous fault detection, structural health monitoring, wireless sensor networks, smart sensors, analytical

  2. Autonomic Intelligent Cyber-Sensor to Support Industrial Control Network Awareness

    SciTech Connect (OSTI)

    Denis T. Vollmer; Milos Manic; O. Linda

    2014-05-01

    The proliferation of digital devices in a networked industrial ecosystem, along with an exponential growth in complexity and scope, has resulted in elevated security concerns and management complexity issues. This paper describes a novel architecture utilizing concepts of autonomic computing and a simple object access protocol (SOAP)-based interface to metadata access points (IF-MAP) external communication layer to create a network security sensor. This approach simplifies integration of legacy software and supports a secure, scalable, and self-managed framework. The contribution of this paper is twofold: 1) A flexible two-level communication layer based on autonomic computing and service oriented architecture is detailed and 2) three complementary modules that dynamically reconfigure in response to a changing environment are presented. One module utilizes clustering and fuzzy logic to monitor traffic for abnormal behavior. Another module passively monitors network traffic and deploys deceptive virtual network hosts. These components of the sensor system were implemented in C++ and PERL and utilize a common internal D-Bus communication mechanism. A proof of concept prototype was deployed on a mixed-use test network showing the possible real-world applicability. In testing, 45 of the 46 network attached devices were recognized and 10 of the 12 emulated devices were created with specific operating system and port configurations. In addition, the anomaly detection algorithm achieved a 99.9% recognition rate. All output from the modules were correctly distributed using the common communication structure.

  3. A Performance Comparison of Features Used in Vibration- Based Health Monitoring of a Complex Mechanism /

    E-Print Network [OSTI]

    Zsiga, Luke Mathieson

    2013-01-01

    approach for structural health monitoring sensor networks.Workshop on Structural Health Monitoring, 2007 13. Farrar,recognition for structural health monitoring." Workshop on

  4. Wireless Sensors and Networks for Advanced Energy Management

    SciTech Connect (OSTI)

    Hardy, J.E.

    2005-05-06

    Numerous national studies and working groups have identified low-cost, very low-power wireless sensors and networks as a critical enabling technology for increasing energy efficiency, reducing waste, and optimizing processes. Research areas for developing such sensor and network platforms include microsensor arrays, ultra-low power electronics and signal conditioning, data/control transceivers, and robust wireless networks. A review of some of the research in the following areas will be discussed: (1) Low-cost, flexible multi-sensor array platforms (CO{sub 2}, NO{sub x}, CO, humidity, NH{sub 3}, O{sub 2}, occupancy, etc.) that enable energy and emission reductions in applications such as buildings and manufacturing; (2) Modeling investments (energy usage and savings to drive capital investment decisions) and estimated uptime improvements through pervasive gathering of equipment and process health data and its effects on energy; (3) Robust, self-configuring wireless sensor networks for energy management; and (4) Quality-of-service for secure and reliable data transmission from widely distributed sensors. Wireless communications is poised to support technical innovations in the industrial community, with widespread use of wireless sensors forecasted to improve manufacturing production and energy efficiency and reduce emissions. Progress being made in wireless system components, as described in this paper, is helping bring these projected improvements to reality.

  5. Localized Distance-sensitive Service Discovery in Wireless Sensor and Actor Networks

    E-Print Network [OSTI]

    Santoro, Nicola

    1 Localized Distance-sensitive Service Discovery in Wireless Sensor and Actor Networks Xu Li discovery problem in wireless sensor and actor networks, and propose a novel localized algorithm, i, Wireless networks 3 1 INTRODUCTION AWireless sensor network is a collection of micro- sized and resource

  6. TCPL: A Defense against wormhole attacks in wireless sensor networks

    SciTech Connect (OSTI)

    Kumar, K. E. Naresh [PG Student, Dept of Computer Science and Engineering, KBNCE, Gulbarga, Karnataka (India); Waheed, Mohd. Abdul [Asst. Professor, Dept of Computer Science and Engineering, KBNCE, Gulbarga, Karnataka (India); Basappa, K. Kari [Professor, Dept of E and CE, Dayanand College of Engineering, Banglore, Karnataka (India)

    2010-10-26

    Do In this paper presents recent advances in technology have made low-cost, low-power wireless sensors with efficient energy consumption. A network of such nodes can coordinate among themselves for distributed sensing and processing of certain data. For which, we propose an architecture to provide a stateless solution in sensor networks for efficient routing in wireless sensor networks. This type of architecture is known as Tree Cast. We propose a unique method of address allocation, building up multiple disjoint trees which are geographically inter-twined and rooted at the data sink. Using these trees, routing messages to and from the sink node without maintaining any routing state in the sensor nodes is possible. In this paper, we introduce the wormhole attack, a severe attack in ad hoc networks that is particularly challenging to defend against. The wormhole attack is possible even if the attacker has not compromised any hosts and even if all communication provides authenticity and confidentiality. In the wormhole attack, an attacker records packets (or bits) at one location in the network, tunnels them to another location, and retransmits them there into the network. The wormhole attack can form a serious threat in wireless networks, especially against many sensor network routing protocols and location-based wireless security systems. For example, most existing ad hoc network routing protocols, without some mechanism to defend against the wormhole attack, would be unable to find routes longer than one or two hops, severely disrupting communication. We present a new, general mechanism, called packet leashes, for detecting and thus defending against wormhole attacks, and we present a specific protocol, called TIK, that implements leashes.

  7. Intelligent Monitoring System with High Temperature Distributed Fiberoptic Sensor for Power Plant Combustion Processes

    SciTech Connect (OSTI)

    Kwang Y. Lee; Stuart S. Yin; Andre Boehman

    2006-09-26

    The objective of the proposed work is to develop an intelligent distributed fiber optical sensor system for real-time monitoring of high temperature in a boiler furnace in power plants. Of particular interest is the estimation of spatial and temporal distributions of high temperatures within a boiler furnace, which will be essential in assessing and controlling the mechanisms that form and remove pollutants at the source, such as NOx. The basic approach in developing the proposed sensor system is three fold: (1) development of high temperature distributed fiber optical sensor capable of measuring temperatures greater than 2000 C degree with spatial resolution of less than 1 cm; (2) development of distributed parameter system (DPS) models to map the three-dimensional (3D) temperature distribution for the furnace; and (3) development of an intelligent monitoring system for real-time monitoring of the 3D boiler temperature distribution. Under Task 1, we have set up a dedicated high power, ultrafast laser system for fabricating in-fiber gratings in harsh environment optical fibers, successfully fabricated gratings in single crystal sapphire fibers by the high power laser system, and developed highly sensitive long period gratings (lpg) by electric arc. Under Task 2, relevant mathematical modeling studies of NOx formation in practical combustors have been completed. Studies show that in boiler systems with no swirl, the distributed temperature sensor may provide information sufficient to predict trends of NOx at the boiler exit. Under Task 3, we have investigated a mathematical approach to extrapolation of the temperature distribution within a power plant boiler facility, using a combination of a modified neural network architecture and semigroup theory. Given a set of empirical data with no analytic expression, we first developed an analytic description and then extended that model along a single axis.

  8. Intelligent Monitoring System With High Temperature Distributed Fiberoptic Sensor For Power Plant Combustion Processes

    SciTech Connect (OSTI)

    Kwang Y. Lee; Stuart S. Yin; Andre Boheman

    2005-12-26

    The objective of the proposed work is to develop an intelligent distributed fiber optical sensor system for real-time monitoring of high temperature in a boiler furnace in power plants. Of particular interest is the estimation of spatial and temporal distributions of high temperatures within a boiler furnace, which will be essential in assessing and controlling the mechanisms that form and remove pollutants at the source, such as NOx. The basic approach in developing the proposed sensor system is three fold: (1) development of high temperature distributed fiber optical sensor capable of measuring temperatures greater than 2000 C degree with spatial resolution of less than 1 cm; (2) development of distributed parameter system (DPS) models to map the three-dimensional (3D) temperature distribution for the furnace; and (3) development of an intelligent monitoring system for real-time monitoring of the 3D boiler temperature distribution. Under Task 1, we set up a dedicated high power, ultrafast laser system for fabricating in-fiber gratings in harsh environment optical fibers, successfully fabricated gratings in single crystal sapphire fibers by the high power laser system, and developed highly sensitive long period gratings (lpg) by electric arc. Under Task 2, relevant mathematical modeling studies of NOx formation in practical combustors. Studies show that in boiler systems with no swirl, the distributed temperature sensor may provide information sufficient to predict trends of NOx at the boiler exit. Under Task 3, we investigate a mathematical approach to extrapolation of the temperature distribution within a power plant boiler facility, using a combination of a modified neural network architecture and semigroup theory. The 3D temperature data is furnished by the Penn State Energy Institute using FLUENT. Given a set of empirical data with no analytic expression, we first develop an analytic description and then extend that model along a single axis. Extrapolation capability was demonstrated for estimating enthalpy in a power plant.

  9. State-of-the-Art in Protocol Research for Underwater Acoustic Sensor Networks

    E-Print Network [OSTI]

    Pompili, Dario

    perform pollu- tion monitoring (chemical, biological, and nuclear), monitor- ing of ocean currents areas, or study the effects of submarine earth- quakes (seaquakes). · Assisted Navigation. Sensors can

  10. Node Reclamation and Replacement for Long-lived Sensor Networks Bin Tong, Guiling Wang, Wensheng Zhang, and Chuang Wang

    E-Print Network [OSTI]

    Zhang, Wensheng

    @njit.edu Abstract--When deployed for long-term tasks, the energy required to support sensor nodes' activities is far is conserved, once the energy is used up, the network life terminates. Therefore, guaranteeing long- term of WSNs for long-term tasks such as structural health monitoring for bridges and tunnels, border

  11. Modeling overall energy consumption in Wireless Sensor Networks

    E-Print Network [OSTI]

    Kamyabpour, Najmeh

    2011-01-01

    Minimizing the energy consumption of a wireless sensor network application is crucial for effective realization of the intended application in terms of cost, lifetime, and functionality. However, the minimizing task is hardly possible as no overall energy cost function is available for optimization. Optimizing a specific component of the total energy cost does not help in reducing the total energy cost as this reduction may be negated by an increase in the energy consumption of other components of the application. Recently we proposed Hierarchy Energy Driven Architecture as a robust architecture that takes into account all principal energy constituents of wireless sensor network applications. Based on the proposed architecture, this paper presents a single overall model and proposes a feasible formulation to express the overall energy consumption of a generic wireless sensor network application in terms of its energy constituents. The formulation offers a concrete expression for evaluating the performance of ...

  12. CloudWatcher: Network Security Monitoring Using OpenFlow in Dynamic Cloud Networks

    E-Print Network [OSTI]

    Gu, Guofei

    CloudWatcher: Network Security Monitoring Using OpenFlow in Dynamic Cloud Networks (or: How to Provide Security Monitoring as a Service in Clouds?) Seungwon Shin SUCCESS Lab Texas A&M University Email, basically, we can employ existing network security devices, but applying them to a cloud network requires

  13. Demonstration of Worldsens: A Fast Prototyping and Performance Evaluation of Wireless Sensor Network

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Demonstration of Worldsens: A Fast Prototyping and Performance Evaluation of Wireless Sensor environment for fast pro- totyping of wireless sensor protocols and applications. Our environment proposes sensor network simulation is feasible and that complex application design and deployment is affordable

  14. Simultaneous localization and tracking in wireless ad-hoc sensor networks

    E-Print Network [OSTI]

    Taylor, Christopher J. (Christopher Jorgen)

    2005-01-01

    In this thesis we present LaSLAT, a sensor network algorithm that uses range measurements between sensors and a moving target to simultaneously localize the sensors, calibrate sensing hardware, and recover the target's ...

  15. TRANSPORTATION SECURITY SENSOR NETWORK: SENSOR SELECTION AND SIGNAL STRENGTH ANALYSIS

    E-Print Network [OSTI]

    Kansas, University of

    , Lawrence, KS 66045-7559 All rights reserved. Project Sponsor: Oak Ridge National Laboratory TechnicalReport The University of Kansas #12;i Abstract Cargo theft is a major problem in the US; the FBI estimated losses of $15 Introduction 1 II System Architecture 1 II-A Mobile Rail Network

  16. Topology management protocols in ad hoc wireless sensor networks 

    E-Print Network [OSTI]

    Kim, Hogil

    2009-05-15

    and destination. The multiple paths discovered are maintained in a memory, i.e., route cache, and can be used either as a backup route for a broken path or to balance network tra c. However, the decision procedure to nd an optimal path to balance network tra c... in this work. From the set S of all sensor nodes, All sensor nodes 1st-layer 2nd-layer Kth -layer Fig. 1. K-Layer Coverage we select only a small number of nodes to form 1-coverage and repeat this process K times to form K-coverage. A set Si, which is ith...

  17. Reconfigurable middleware architectures for large scale sensor networks

    SciTech Connect (OSTI)

    Brennan, Sean M.

    2010-03-01

    Wireless sensor networks, in an e#11;ffort to be energy efficient, typically lack the high-level abstractions of advanced programming languages. Though strong, the dichotomy between these two paradigms can be overcome. The SENSIX software framework, described in this dissertation, uniquely integrates constraint-dominated wireless sensor networks with the flexibility of object-oriented programming models, without violating the principles of either. Though these two computing paradigms are contradictory in many ways, SENSIX bridges them to yield a dynamic middleware abstraction unifying low-level resource-aware task recon#12;figuration and high-level object recomposition.

  18. Communication protocols for underwater data collection using a robotic sensor network

    E-Print Network [OSTI]

    Singh, Hanumant

    2013-05-01

    We examine the problem of collecting data from an underwater sensor network using an autonomous underwater vehicle (AUV). The sensors in the network are equipped with acoustic modems that provide noisy, range-limited ...

  19. The Energy Cost of Cryptographic Key Establishment in Wireless Sensor Networks #

    E-Print Network [OSTI]

    International Association for Cryptologic Research (IACR)

    The Energy Cost of Cryptographic Key Establishment in Wireless Sensor Networks # Johann Großsch, Security. Keywords Wireless networking, security protocols, cryptography, key establishment, energy Inffeldgasse 16a, A--8010 Graz, Austria ABSTRACT Wireless sensor nodes generally face serious limitations

  20. Configurable Dynamic Privacy for Pervasive Sensor Networks Nan-Wei Gong

    E-Print Network [OSTI]

    1 Configurable Dynamic Privacy for Pervasive Sensor Networks by Nan-Wei Gong Submitted Privacy for Pervasive Sensor Networks by Nan-Wei Gong Submitted to the Program in Media Arts and Sciences

  1. Pipeline Structural Health Monitoring Using Macro-fiber Composite Active Sensors

    SciTech Connect (OSTI)

    A.B. Thien

    2006-03-01

    The United States economy is heavily dependent upon a vast network of pipeline systems to transport and distribute the nation's energy resources. As this network of pipelines continues to age, monitoring and maintaining its structural integrity remains essential to the nation's energy interests. Numerous pipeline accidents over the past several years have resulted in hundreds of fatalities and billions of dollars in property damages. These accidents show that the current monitoring methods are not sufficient and leave a considerable margin for improvement. To avoid such catastrophes, more thorough methods are needed. As a solution, the research of this thesis proposes a structural health monitoring (SHM) system for pipeline networks. By implementing a SHM system with pipelines, their structural integrity can be continuously monitored, reducing the overall risks and costs associated with current methods. The proposed SHM system relies upon the deployment of macro-fiber composite (MFC) patches for the sensor array. Because MFC patches are flexible and resilient, they can be permanently mounted to the curved surface of a pipeline's main body. From this location, the MFC patches are used to monitor the structural integrity of the entire pipeline. Two damage detection techniques, guided wave and impedance methods, were implemented as part of the proposed SHM system. However, both techniques utilize the same MFC patches. This dual use of the MFC patches enables the proposed SHM system to require only a single sensor array. The presented Lamb wave methods demonstrated the ability to correctly identify and locate the presence of damage in the main body of the pipeline system, including simulated cracks and actual corrosion damage. The presented impedance methods demonstrated the ability to correctly identify and locate the presence of damage in the flanged joints of the pipeline system, including the loosening of bolts on the flanges. In addition to damage to the actual pipeline itself, the proposed methods were used to demonstrate the capability of detecting deposits inside of pipelines. Monitoring these deposits can prevent clogging and other hazardous situations. Finally, suggestions are made regarding future research issues which are needed to advance this research. Because the research of this thesis has only demonstrated the feasibility of the techniques for such a SHM system, these issues require attention before any commercial applications can be realized.

  2. Energy efficient strategies for wireless sensor networks with varying connectivity properties

    E-Print Network [OSTI]

    Kam, Clement

    2010-01-01

    B. Sri- vastava. Energy-aware wireless microsensor networks.cases, these wireless systems are energy-constrained, and itin traditional wireless sensor networks, energy conservation

  3. On Energy for Progressive and Consensus Estimation in Multihop Sensor Networks

    E-Print Network [OSTI]

    Huang, Yi; Hua, Yingbo

    2011-01-01

    three basic architectures for WSN: single-hop network withwireless sensor networks (WSN). A primary advantage ofused in broadcast multihop WSN. We demonstrate by analysis

  4. Networking Issues in Wireless Sensor Networks Deepak Ganesan , Alberto Cerpa , Wei Ye , Yan Yu ,

    E-Print Network [OSTI]

    Cerpa, Alberto E.

    autonomously, and in many cases, without access to renewable energy resources. Cost constraints and the need such as climate monitoring in the canopies, sensor nodes may not be able to renew their energy resources. A major specifically, sensor nodes will do local processing to reduce communica- tions, and consequently, energy costs

  5. A Data Gathering Scheme in Wireless Sensor Networks Based on Synchronization of Chaotic Spiking Oscillator Networks

    SciTech Connect (OSTI)

    Nakano, Hidehiro; Utani, Akihide; Miyauchi, Arata; Yamamoto, Hisao [Tokyo City University (Japan)

    2011-04-19

    This paper studies chaos-based data gathering scheme in multiple sink wireless sensor networks. In the proposed scheme, each wireless sensor node has a simple chaotic oscillator. The oscillators generate spike signals with chaotic interspike intervals, and are impulsively coupled by the signals via wireless communication. Each wireless sensor node transmits and receives sensor information only in the timing of the couplings. The proposed scheme can exhibit various chaos synchronous phenomena and their breakdown phenomena, and can effectively gather sensor information with the significantly small number of transmissions and receptions compared with the conventional scheme. Also, the proposed scheme can flexibly adapt various wireless sensor networks not only with a single sink node but also with multiple sink nodes. This paper introduces our previous works. Through simulation experiments, we show effectiveness of the proposed scheme and discuss its development potential.

  6. Evaluating the Health of California's Loop Sensor Network Ram Rajagopal1 and Pravin Varaiya

    E-Print Network [OSTI]

    Varaiya, Pravin

    Evaluating the Health of California's Loop Sensor Network Ram Rajagopal1 and Pravin Varaiya The California Department of Transportation (Caltrans) freeway sensor network has two compo- nents: the sensor system of 25,000 inductive loop sensors grouped into 8,000 vehicle detector sta- tions (VDS) and covering

  7. Simulation-based optimization of communication protocols for large-scale wireless sensor networks1

    E-Print Network [OSTI]

    Maróti, Miklós

    everyday life more comfortable, e.g. Intelligent Spaces [3]. These sensor networks often use distributed of the wireless sensors may vary greatly, but invariably each of the intelligent sensors is a compact device1 Simulation-based optimization of communication protocols for large-scale wireless sensor networks

  8. A Wireless Sensor Network for Smart Roadbeds and Intelligent Transportation Systems

    E-Print Network [OSTI]

    A Wireless Sensor Network for Smart Roadbeds and Intelligent Transportation Systems by Ara N a wireless sensor package to instrument roadways for Intelligent Transportation Systems. The sensor package______________________________________________________ Arthur C. Smith Chairman, Department Committee on Graduate Theses #12;2 A Wireless Sensor Network

  9. SecSens -Security Architecture for Wireless Sensor Networks Faruk Bagci, Theo Ungerer

    E-Print Network [OSTI]

    Ungerer, Theo

    of sensor boards. Keywords: wireless sensor network, security architec- ture, energy efficiency, multi between nodes enhances communication flexibility. Generally, sensor nodes have limited energy and re not be transferred to sensor networks. In recent years, the research was mainly focused on issues related to energy

  10. MECHANICAL VIBRATION SENSING FOR STRUCTURAL HEALTH MONITORING USING A MILLIMETER-WAVE DOPPLER RADAR SENSOR

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    MECHANICAL VIBRATION SENSING FOR STRUCTURAL HEALTH MONITORING USING A MILLIMETER-WAVE DOPPLER RADAR of structural health monitoring (SHM). In this paper, we report on a millimeter-wave Doppler radar sensor sensing, millimeter-waves, structural health monitoring. INTRODUCTION Structural health monitoring based

  11. Little Science Confronts the Data Deluge: Habitat Ecology, Embedded Sensor Networks, and Digital Libraries

    E-Print Network [OSTI]

    Borgman, C L; Wallis, J C; Enyedy, N

    2006-01-01

    Principles of embedded networked systems design. Cambridge,2006). These are systems of sensors that are embedded in the

  12. The Energy Endoscope: Real-time Detailed Energy Accounting for Wireless Sensor Nodes

    E-Print Network [OSTI]

    Stathopoulos, Thanos; McIntire, Dustin; Kaiser, W J

    2007-01-01

    meter for energy monitoring of wireless sensor networks attime Detailed Energy Accounting for Wireless Sensor Nodessuch Subsystem Energy (%) Ethernet CF Wireless PXA SDRAM

  13. Design and development of a network architecture for a chemical sensor network

    E-Print Network [OSTI]

    Cheung, Jimmy

    2005-01-01

    A real-time continuous chemical sensor network can obtain detailed data to analyze the dynamic behavior of water systems such as a lake. The behaviors of interest to us in Upper Mystic Lake are the effects of stratification ...

  14. 334 IEEE/ACM TRANSACTIONS ON NETWORKING, VOL. 15, NO. 2, APRIL 2007 Maximizing Lifetime of Sensor Surveillance Systems

    E-Print Network [OSTI]

    Jia, Xiaohua

    to be monitored. The sensors collaborate with each other to watch or monitor the targets and pass the sensed data

  15. Wireless Sensor Networks - Node Localization for Various Industry Problems

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Derr, Kurt; Manic, Milos

    2015-01-01

    Fast, effective monitoring following airborne releases of toxic substances is critical to mitigate risks to threatened population areas. Wireless sensor nodes at fixed predetermined locations may monitor such airborne releases and provide early warnings to the public. A challenging algorithmic problem is determining the locations to place these sensor nodes while meeting several criteria: 1) provide complete coverage of the domain, and 2) create a topology with problem dependent node densities, while 3) minimizing the number of sensor nodes. This manuscript presents a novel approach to determining optimal sensor placement, Advancing Front mEsh generation with Constrained dElaunay Triangulation and Smoothing (AFECETS) that addresses these criteria. A unique aspect of AFECETS is the ability to determine wireless sensor node locations for areas of high interest (hospitals, schools, high population density areas) that require higher density of nodes for monitoring environmental conditions, a feature that is difficult to find in other research work. The AFECETS algorithm was tested on several arbitrary shaped domains. AFECETS simulation results show that the algorithm 1) provides significant reduction in the number of nodes, in some cases over 40%, compared to an advancing front mesh generation algorithm, 2) maintains and improves optimal spacing between nodes, and 3) produces simulation run times suitable for real-time applications.

  16. Wireless Sensor Networks - Node Localization for Various Industry Problems

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Derr, Kurt; Manic, Milos

    2015-06-01

    Fast, effective monitoring following airborne releases of toxic substances is critical to mitigate risks to threatened population areas. Wireless sensor nodes at fixed predetermined locations may monitor such airborne releases and provide early warnings to the public. A challenging algorithmic problem is determining the locations to place these sensor nodes while meeting several criteria: 1) provide complete coverage of the domain, and 2) create a topology with problem dependent node densities, while 3) minimizing the number of sensor nodes. This manuscript presents a novel approach to determining optimal sensor placement, Advancing Front mEsh generation with Constrained dElaunay Triangulation and Smoothingmore »(AFECETS) that addresses these criteria. A unique aspect of AFECETS is the ability to determine wireless sensor node locations for areas of high interest (hospitals, schools, high population density areas) that require higher density of nodes for monitoring environmental conditions, a feature that is difficult to find in other research work. The AFECETS algorithm was tested on several arbitrary shaped domains. AFECETS simulation results show that the algorithm 1) provides significant reduction in the number of nodes, in some cases over 40%, compared to an advancing front mesh generation algorithm, 2) maintains and improves optimal spacing between nodes, and 3) produces simulation run times suitable for real-time applications.« less

  17. Declarative Failure Recovery for Sensor Networks

    E-Print Network [OSTI]

    Gummadi, Ramakrishna; Kothari, Nupur; Millstein, Todd; Govindan, Ramesh

    2007-01-01

    developing wireless embedded systems software. CENS-TR-9,Approach to Networked Embedded Systems. In PLDI 2003. [14]culties of traditional embedded systems, including scale,

  18. Securing Network Services for Wireless Ad Hoc and Sensor Networks Loukas Lazos

    E-Print Network [OSTI]

    Lazos, Loukas

    RLoc that is well suited in resource-constrained environments such as Wireless Sensor Networks (WSN). Furthermore we on the quantification of the performance of WSN. We address the problem of coverage in stochastically deployed WSN and Geometric Probability we provide analytical formulas for heterogeneous WSN, where sensors do not have

  19. Tracking Dynamics Using Sensor Networks: Some Recurring Themes

    E-Print Network [OSTI]

    Ramamritham, Krithi

    interconnected sensors are being used to build ­ smart buildings that make efficient use of energy, ­ smart vehicles that improve efficiency, assist drivers and help in navigation, ­ robots to monitor water bodies (energy) efficiently, adaptably, i.e., continuously evolve to changing condi- tions, and resiliently

  20. GEM: Graph EMbedding for Routing and DataCentric Storage in Sensor Networks Without

    E-Print Network [OSTI]

    GEM: Graph EMbedding for Routing and Data­Centric Storage in Sensor Networks Without Geographic), an infrastructure for node­to­node routing and data­centric storage and information processing in sensor networks, or the U.S. Government or any of its agencies. #12; Keywords: Sensor networks, routing, data­centric

  1. GEM: Graph EMbedding for Routing and Data-Centric Storage in Sensor Networks Without

    E-Print Network [OSTI]

    GEM: Graph EMbedding for Routing and Data-Centric Storage in Sensor Networks Without Geographic), an infrastructure for node-to-node routing and data-centric storage and information processing in sensor networks University, or the U.S. Government or any of its agencies. #12;Keywords: Sensor networks, routing, data-centric

  2. Time and Energy Pro ling in Production Sensor Networks with Quanto

    E-Print Network [OSTI]

    Fonseca, Rodrigo

    Time and Energy Pro ling in Production Sensor Networks with Quanto Basil Crow Department to production sensor networks alike. Introduction Energy is a scarce resource in battery-operated embedded [ ]. To make matters worse, the infrastructure for time and energy pro ling in production sensor networks

  3. Real-time Enabled IEEE 802.15.4 Sensor Networks in Industrial Automation

    E-Print Network [OSTI]

    Breu, Ruth

    Real-time Enabled IEEE 802.15.4 Sensor Networks in Industrial Automation Feng Chen, Thomas Talanis, Industry Automation Division, Germany Abstract--Sensor networks have been investigated in many scenarios, sensor networks became also an interesting topic in industrial automation. Here, the main focus

  4. A Lightweight Framework for Source-to-Sink Data Transfer in Wireless Sensor Networks

    E-Print Network [OSTI]

    Krishnamurthy, Srikanth

    -- Lightweight protocols that are both bandwidth and power thrifty are desirable for sensor networks. In additionA Lightweight Framework for Source-to-Sink Data Transfer in Wireless Sensor Networks J. Jobin, for many sensor network applications, timeliness of data delivery at a sink that collects and interprets

  5. Aggregation Latency-Energy Tradeoff in Wireless Sensor Networks with Successive

    E-Print Network [OSTI]

    Lau, Francis C.M.

    Aggregation Latency-Energy Tradeoff in Wireless Sensor Networks with Successive Interference investigate the latency-energy tradeoff for data aggregation in wireless sensor networks under the physical lowest possible level. Index Terms--Data aggregation, latency-energy tradeoff, wireless sensor network

  6. Decentralized Utility-based Sensor Network Design Narayanan Sadagopan and Bhaskar Krishnamachari

    E-Print Network [OSTI]

    Krishnamachari, Bhaskar

    Decentralized Utility-based Sensor Network Design Narayanan Sadagopan and Bhaskar Krishnamachari to designing these networks based on utility functions. We investigate the design of appropriate local utility functions for each sensor such that while each sensor "selfishly" optimizes its own utility, the network

  7. Decentralizing Query Processing in Sensor Networks Ross Rosemark, Wang-Chien Lee

    E-Print Network [OSTI]

    Lee, Wang-Chien

    this approach, the access point must first collect metadata from all nodes within the sensor network requir- 1 by utilizing the metadata collected from the sensor network. Such a centralized approach disallows two setsDecentralizing Query Processing in Sensor Networks Ross Rosemark, Wang-Chien Lee Department

  8. Data compression trade-offs in sensor networks Mo Chen and Mark L. Fowler

    E-Print Network [OSTI]

    Fowler, Mark

    Data compression trade-offs in sensor networks Mo Chen and Mark L. Fowler Department of Electrical: mfowler@binghamton.edu ABSTRACT This paper first discusses the need for data compression within sensor networks and argues that data compression is a fundamental tool for achieving trade-offs in sensor networks

  9. Transmit Rate Control for Energy-efficient Estimation in Wireless Sensor Networks

    E-Print Network [OSTI]

    Koutsopoulos, Iordanis

    Transmit Rate Control for Energy-efficient Estimation in Wireless Sensor Networks Iordanis (PHY) trans- mit rate control on energy efficient estimation in wireless sensor networks. A sensor network collects measurements and transmits them to a Fusion Center (FC) with controllable PHY

  10. Delay-Tolerant Data Gathering in Energy Harvesting Sensor Networks With a Mobile Sink

    E-Print Network [OSTI]

    Liang, Weifa

    Delay-Tolerant Data Gathering in Energy Harvesting Sensor Networks With a Mobile Sink Xiaojiang Ren collection in an energy harvesting sensor network with a mobile sink, where a mobile sink travels along, this is the first kind of work of data collection for energy harvesting sensor networks with mobile sinks. I

  11. Energy-Aware Scheduling with Quality of Surveillance Guarantee in Wireless Sensor Networks

    E-Print Network [OSTI]

    Jeong, Jaehoon "Paul"

    Energy-Aware Scheduling with Quality of Surveillance Guarantee in Wireless Sensor Networks Jaehoon: Sensor Networks, Quality of Surveillance, De- tection, Scheduling, Energy, Mobile Target, Vehicle. 1 an energy-efficient scheduling al- gorithm for detection of mobile targets in wireless sensor networks. We

  12. Robust Planarization of Unlocalized Wireless Sensor Networks

    E-Print Network [OSTI]

    Jiang, Anxiao "Andrew"

    then, it has also been used in numerous other applications, including data-centric storage, network other applications, including data-centric storage [17], network localization [15] and topology discovery [18] [8] [9]. Here the data-centric storage schemes use the planar graph to help determine

  13. System for monitoring an industrial process and determining sensor status

    DOE Patents [OSTI]

    Gross, K.C.; Hoyer, K.K.; Humenik, K.E.

    1995-10-17

    A method and system for monitoring an industrial process and a sensor are disclosed. The method and system include generating a first and second signal characteristic of an industrial process variable. One of the signals can be an artificial signal generated by an auto regressive moving average technique. After obtaining two signals associated with one physical variable, a difference function is obtained by determining the arithmetic difference between the two pairs of signals over time. A frequency domain transformation is made of the difference function to obtain Fourier modes describing a composite function. A residual function is obtained by subtracting the composite function from the difference function and the residual function (free of nonwhite noise) is analyzed by a statistical probability ratio test. 17 figs.

  14. System for monitoring an industrial process and determining sensor status

    DOE Patents [OSTI]

    Gross, Kenneth C. (Bolingbrook, IL); Hoyer, Kristin K. (Chicago, IL); Humenik, Keith E. (Columbia, MD)

    1997-01-01

    A method and system for monitoring an industrial process and a sensor. The method and system include generating a first and second signal characteristic of an industrial process variable. One of the signals can be an artificial signal generated by an auto regressive moving average technique. After obtaining two signals associated with one physical variable, a difference function is obtained by determining the arithmetic difference between the two pairs of signals over time. A frequency domain transformation is made of the difference function to obtain Fourier modes describing a composite function. A residual function is obtained by subtracting the composite function from the difference function and the residual function (free of nonwhite noise) is analyzed by a statistical probability ratio test.

  15. System for monitoring an industrial process and determining sensor status

    DOE Patents [OSTI]

    Gross, K.C.; Hoyer, K.K.; Humenik, K.E.

    1997-05-13

    A method and system are disclosed for monitoring an industrial process and a sensor. The method and system include generating a first and second signal characteristic of an industrial process variable. One of the signals can be an artificial signal generated by an auto regressive moving average technique. After obtaining two signals associated with one physical variable, a difference function is obtained by determining the arithmetic difference between the two pairs of signals over time. A frequency domain transformation is made of the difference function to obtain Fourier modes describing a composite function. A residual function is obtained by subtracting the composite function from the difference function and the residual function (free of nonwhite noise) is analyzed by a statistical probability ratio test. 17 figs.

  16. System for monitoring an industrial process and determining sensor status

    DOE Patents [OSTI]

    Gross, Kenneth C. (Bolingbrook, IL); Hoyer, Kristin K. (Chicago, IL); Humenik, Keith E. (Columbia, MD)

    1995-01-01

    A method and system for monitoring an industrial process and a sensor. The method and system include generating a first and second signal characteristic of an industrial process variable. One of the signals can be an artificial signal generated by an auto regressive moving average technique. After obtaining two signals associated with one physical variable, a difference function is obtained by determining the arithmetic difference between the two pairs of signals over time. A frequency domain transformation is made of the difference function to obtain Fourier modes describing a composite function. A residual function is obtained by subtracting the composite function from the difference function and the residual function (free of nonwhite noise) is analyzed by a statistical probability ratio test.

  17. Building Fire Emergency Detection and Response Using Wireless Sensor Networks

    E-Print Network [OSTI]

    Sreenan, Cormac J.

    1 Building Fire Emergency Detection and Response Using Wireless Sensor Networks Yuanyuan Zeng, Seán technologies. Fire emergency detection and response for building environments is a novel application area for this problem. Then we describe work on the use of WSNs to improve fire evacuation and navigation. Keywords

  18. Wireless Sensor Network Architecture for Smart Venkata Reddy Adama

    E-Print Network [OSTI]

    Grabner, Helmut

    in the field of material science led to an improved energy efficiency of the building envelope, a lot of energyWireless Sensor Network Architecture for Smart Buildings Venkata Reddy Adama Associate Professor Pradesh, India ­ 505 001 Venkat_scce@yahoo.co.in Abstract - Today's buildings account for a large fraction

  19. Solar-aware Routing in Wireless Sensor Networks

    E-Print Network [OSTI]

    Solar-aware Routing in Wireless Sensor Networks Thiemo Voigt, Hartmut Ritter and Jochen Schiller energy sources such as solar power may provide unlimited energy resources to a changing subset these nodes is appealing. In this paper, we present solar-aware routing, a rout- ing protocol for wireless

  20. Forest Fire Modeling and Early Detection using Wireless Sensor Networks

    E-Print Network [OSTI]

    Zhang, Richard "Hao"

    Forest Fire Modeling and Early Detection using Wireless Sensor Networks MOHAMED HEFEEDA Simon Fraser University, Canada Forest fires cost millions of dollars in damages and claim many human lives for early detection of forest fires. We first present the key aspects in modeling forest fires. We do

  1. Information Survival Threshold in Sensor and P2P Networks

    E-Print Network [OSTI]

    Pratt, Vaughan

    between nodes is subject to loss (link failures), and nodes may go down (battery failure, shut down and where links and nodes can go up or down. Consider also a `datum', that is, a piece of information, like a report of an emergency condition in a sensor network, a national traditional song, or a mobile phone

  2. Minimum Energy Coding for Wireless NanoSensor Networks

    E-Print Network [OSTI]

    Shihada, Basem

    Minimum Energy Coding for Wireless NanoSensor Networks Murat Kocaoglu Ozgur B. Akan Next-generation nodes. With their extremely small size, nanosensor nodes can only provide limited energy. Hence, power for their realization. Authors in [1] provide a detailed survey on the state-of-the-art in nanosensors and emphasize

  3. Metal Oxide Semiconductor Gas Sensors and Neural Networks

    E-Print Network [OSTI]

    Siegel, Mel

    Olfaction Metal Oxide Semiconductor Gas Sensors and Neural Networks M. W. Siegel Carnegie Mellon around a chemical plant, sniffing as it goes for gas leaks (or the vapors of liquid leaks), navigating perhaps directed to the offending pipe fissure or open valve by acoustic homing toward the source

  4. Virtual Sensor Networks -A Resource Efficient Approach for Concurrent Applications

    E-Print Network [OSTI]

    Han, Qi "Chee"

    in the computational power, radio components, and reduction in the cost of high- performance processing and memory UCLA, SunSpot from Sun, etc.) that in- tegrate computation, networking, and sensing capabilities include de- sign of light-weight operating systems for sensor devices, powerful programming frameworks

  5. Distributed Minimum Energy Data Gathering and Aggregation in Sensor Networks

    E-Print Network [OSTI]

    Liang, Ben

    Distributed Minimum Energy Data Gathering and Aggregation in Sensor Networks Kevin Yuen, Baochun Li-- In this paper, we propose an effective distributed algorithm to solve the minimum energy data gathering (MEDG input packets into a single output packet. To achieve minimum energy data gathering, the optimal trans

  6. Fast/Fair Mobile Localization in Infrastructure Wireless Sensor Networks

    E-Print Network [OSTI]

    Krishnamachari, Bhaskar

    Fast/Fair Mobile Localization in Infrastructure Wireless Sensor Networks Kiran Yedavalli, Bhaskar and Technology Center, Palo Alto, CA, USA We introduce the problem of fast and fair localization of mobile units and fairness of localization and investigate a heuristic algorithm for fast and fair localization. Simulation

  7. Forecasting Building Occupancy Using Sensor Network James Howard

    E-Print Network [OSTI]

    Hoff, William A.

    Forecasting Building Occupancy Using Sensor Network Data James Howard Colorado School of Mines@mines.edu ABSTRACT Forecasting the occupancy of buildings can lead to signif- icant improvement of smart heating throughout a building, we perform data mining to forecast occupancy a short time (i.e., up to 60 minutes

  8. Minimizing Energy Consumption in Body Sensor Networks via Convex Optimization

    E-Print Network [OSTI]

    Poovendran, Radha

    Minimizing Energy Consumption in Body Sensor Networks via Convex Optimization Sidharth Nabar energy consumption while limiting the latency in data transfer. In this paper, we focus on polling energy consumption and latency. We show that this problem can be posed as a geometric program, which

  9. Directional Controlled Fusion in Wireless Sensor Networks (Invited Paper)

    E-Print Network [OSTI]

    Chen, Min

    Directional Controlled Fusion in Wireless Sensor Networks (Invited Paper) Min Chen Dept. of Elect of "multipath expanding" to solve the above problems by exploiting both data fusion and load balancing. We propose a novel directional-controlled fusion (DCF) scheme, which includes two key algorithms, i

  10. DIFS: A Distributed Index for Features in Sensor Networks

    E-Print Network [OSTI]

    Gao, Jie

    . The primary energy consumer in such systems is radio transmission. For one scenario, Pottie and Kaiser explain for complete flexibility in processing the data, it incurs signifi- cant energy expenditure to send every, in energy-constrained sensor networks it may be necessary to store data locally at or near the location

  11. Integration of Groundwater Transport Models with Wireless Sensor Networks

    E-Print Network [OSTI]

    Han, Qi "Chee"

    Integration of Groundwater Transport Models with Wireless Sensor Networks Kevin Barnhart1 , I.jayasumana@colostate.edu, Fort Collins, CO, USA ABSTRACT Groundwater transport modeling is intended to aid in remediation be conceptualized in the WSN context. INTRODUCTION As groundwater contamination is an established problem with many

  12. Redundancy Control in Large Scale Sensor Networks via Compressive Sensing

    E-Print Network [OSTI]

    Wang, Yongcai

    . R. China 2 NEC Labs, Beijing, P. R. China Abstract: In wireless sensor networks for smart city 1 Introduction & background With the growing demands of "smart planet" and "smart city" applications or smart planet applications, massive volumes of real-time sensory data are being generated in every second

  13. Power Scheduling for Wireless Sensor and Actuator Networks

    E-Print Network [OSTI]

    Rozell, Christopher J.

    networks (WSN) has led to increased research in many areas central to distributed data processing to increase the functional lifespan of the WSN is very impor- tant because the battery-powered sensors may that needs to be passed to more distant nodes (e.g., [2,11,20,23]). Many WSN algorithms start

  14. An In-Field-Maintenance Framework for Wireless Sensor Networks

    E-Print Network [OSTI]

    Stankovic, John A.

    applications [5] in wireless sensor networks (WSN) typically initialize themselves by self-organizing after deployment. At the conclusion of the self- organizing stage it is common for the nodes of the WSN to know must re-occur, this principle is much more general. For example, even in static WSN some nodes may

  15. Policy-based Management of Body-Sensor Networks

    E-Print Network [OSTI]

    Keoh, S.; Twidle, K.; Pryce, N.; Schaeffer-Filho, A.; Lupu, E.; Dulay, N.; Sloman, M.; Heeps, S.

    Keoh,S. Twidle,K. Pryce,N. Schaeffer-Filho,A. Lupu,E. Dulay,N. Sloman,M. Heeps,S. Strowes,S. Sventek,J.S. Katsiri,E. Proceedings of the International Workshop on Wearable and Implantable Body Sensor Networks, Aachen, Germany, March 2007

  16. Fusion Frames and Wireless Sensor Networks Gitta Kutyniok

    E-Print Network [OSTI]

    Kutyniok, Gitta

    Fusion Frames and Wireless Sensor Networks Gitta Kutyniok Institut f¨ur Mathematik Technische Universit¨at Berlin 10623 Berlin Germany Email: kutyniok@math.tu-berlin.de Abstract--Fusion frames provide science, information theory, and signal processing, to name a few. Fusion frames extend this notion

  17. An Architecture for Energy Management in Wireless Sensor Networks

    E-Print Network [OSTI]

    California at Berkeley, University of

    An Architecture for Energy Management in Wireless Sensor Networks Xiaofan Jiang, Jay Taneja, Jorge, it is important that sen- sornets have long and predictable lifetimes. We thus expect energy management to play-grained and flexible manner. At the other extreme, low-level energy management mecha- nisms that give direct control

  18. Algorithms for Sensor Networks ...What Is It Good For?!

    E-Print Network [OSTI]

    for cryptography · Packet switching (very important for sensor networks) wasg ( y ) promoted by theory guys Wattenhofer @ ALGOSENSORS 2008 ­ 10 #12;Energy-Efficient Protocol Design · Communication subsystem is the main energy consumer Power down radio as much as possible­ Power down radio as much as possible TinyNode Power

  19. Multi-Level TESLA: Broadcast Authentication for Distributed Sensor Networks

    E-Print Network [OSTI]

    Ning, Peng

    Multi-Level µTESLA: Broadcast Authentication for Distributed Sensor Networks DONGGANG LIU and PENG named multi-level µTESLA based on µTESLA, a broadcast authentication protocol whose scalability is limited by its unicast-based initial parameter distribution. Multi-level µTESLA satisfies several nice

  20. Storage-centric Sensor Networks for Smart Buildings Baobing Wang

    E-Print Network [OSTI]

    Baras, John S.

    Storage-centric Sensor Networks for Smart Buildings Baobing Wang Department of Electrical of Smart Buildings, and introduces a system de- sign flow to compose both continuous-time and event role in future Smart Buildings. It is possible to retrofit old buildings to enable sensing

  1. Roadmap Query for Sensor Network Assisted Navigation in Dynamic Environments

    E-Print Network [OSTI]

    Lu, Chenyang

    Roadmap Query for Sensor Network Assisted Navigation in Dynamic Environments Sangeeta Bhattacharya approach that integrates a roadmap based navigation algorithm with a novel WSN query protocol called Roadmap Query (RQ). RQ enables collection of frequent, up-to- date information about the surrounding

  2. DISS. ETH NO. 18959 Ultra-Low Power Sensor Networks

    E-Print Network [OSTI]

    DISS. ETH NO. 18959 Ultra-Low Power Sensor Networks: Development Tools, Design, and Implementation) are a powerful tool for the surveillance of environmental conditions, natural habitats, or industrial machinery consider the design and implementation of energy-efficient communication protocols and applications

  3. Short-Term Solar Energy Forecasting Using Wireless Sensor Networks

    E-Print Network [OSTI]

    Cerpa, Alberto E.

    Short-Term Solar Energy Forecasting Using Wireless Sensor Networks Stefan Achleitner, Tao Liu an advantage for output power prediction. Solar Energy Prediction System Our prediction model is based variability of more then 100 kW per minute. For practical usage of solar energy, predicting times of high

  4. Thermoelectric powered wireless sensors for spent fuel monitoring

    SciTech Connect (OSTI)

    Carstens, T.; Corradini, M.; Blanchard, J. [Dept. of Engineering Physics, Univ. of Wisconsin-Madison, Madison, WI 53706 (United States); Ma, Z. [Dept. of Electrical and Computer Engineering, Univ. of Wisconsin-Madison, Madison, WI 53706 (United States)

    2011-07-01

    This paper describes using thermoelectric generators to power wireless sensors to monitor spent nuclear fuel during dry-cask storage. OrigenArp was used to determine the decay heat of the spent fuel at different times during the service life of the dry-cask. The Engineering Equation Solver computer program modeled the temperatures inside the spent fuel storage facility during its service life. The temperature distribution in a thermoelectric generator and heat sink was calculated using the computer program Finite Element Heat Transfer. From these temperature distributions the power produced by the thermoelectric generator was determined as a function of the service life of the dry-cask. In addition, an estimation of the path loss experienced by the wireless signal can be made based on materials and thickness of the structure. Once the path loss is known, the transmission power and thermoelectric generator power requirements can be determined. This analysis estimates that a thermoelectric generator can produce enough power for a sensor to function and transmit data from inside the dry-cask throughout its service life. (authors)

  5. Performance monitoring in transparent optical networks using self-monitoring

    E-Print Network [OSTI]

    Yoo, S. J. Ben

    the capital expenditure (CAPEX) and the operating expenditure (OPEX) of the network while enhancing its

  6. Wireless Sensor Networks for Home Health Care

    E-Print Network [OSTI]

    2007-01-01

    today. This future “smart” home would be even more capable,for health monitoring for smart home environments. At theto merge health care and smart home environments. This paper

  7. Optimal Deployment of Impromptu Wireless Sensor Networks

    E-Print Network [OSTI]

    Kumar, Anurag

    with a control truck standing near the entry to the corridor. Assuming low traffic and simple link light that each packet exits the network before the next packet is generated, thus obviating the need

  8. Online social network sensors for influenza outbreaks

    E-Print Network [OSTI]

    Everett, Katie Elizabeth

    2013-01-01

    Previous research has shown strong correlations between postings on the online social network Twitter where users complain of influenza-like symptoms, and clinical data on actual influenza rates. In addition, previous ...

  9. Evaluation of Compression of Remote Network Monitoring Data Streams

    E-Print Network [OSTI]

    Ioannidis, Sotiris

    network sensors but the need to track remote networks continues to grow. Where-ever there are remote applications require packet payload inspection. Such applications include pattern matching for IDS purposes and peer-top-peer traffic classification over port 80. Our goal is to reduce the amount of bandwidth

  10. Development of Compact Gaseous Sensors with Internal Reference for Monitoring O2 and NOx in Combustion Environments

    Broader source: Energy.gov [DOE]

    Compact sensors have been developed to allow for real-time monitoring of O2 and NOx during combustion.

  11. SENSOR PLACEMENT FOR MAXIMIZING LIFETIME PER UNIT COST IN WIRELESS SENSOR NETWORKS

    E-Print Network [OSTI]

    Chuah, Chen-Nee

    in a wireless sensor network (WSN). Analyzing the lifetime per unit cost of a linear WSN, we find that deploying commercial and military applications. A WSN consists of a large number of low-cost, low-power, energy the sen- sor placement and the transmission structure in a one- dimensional data-gathering WSN

  12. Air Dominance in Sensor Networks: Guarding Sensor Motes using Selective Interference

    E-Print Network [OSTI]

    Lenders, Vincent

    Wilhelm, Ivan Martinovic, Jens B. Schmitt, and Vincent Lenders Abstract--Securing wireless sensor networks.martinovic@cs.ox.ac.uk Vincent Lenders is with armasuisse Science and Technology, armasuisse, 3602 Thun, Switzerland. E-mail: vincent.lenders@armasuisse.ch security services for frame protection, device authorization, key

  13. A Review of Sensor Calibration Monitoring for Calibration Interval Extension in Nuclear Power Plants

    SciTech Connect (OSTI)

    Coble, Jamie B.; Meyer, Ryan M.; Ramuhalli, Pradeep; Bond, Leonard J.; Hashemian, Hash; Shumaker, Brent; Cummins, Dara

    2012-08-31

    Currently in the United States, periodic sensor recalibration is required for all safety-related sensors, typically occurring at every refueling outage, and it has emerged as a critical path item for shortening outage duration in some plants. Online monitoring can be employed to identify those sensors that require calibration, allowing for calibration of only those sensors that need it. International application of calibration monitoring, such as at the Sizewell B plant in United Kingdom, has shown that sensors may operate for eight years, or longer, within calibration tolerances. This issue is expected to also be important as the United States looks to the next generation of reactor designs (such as small modular reactors and advanced concepts), given the anticipated longer refueling cycles, proposed advanced sensors, and digital instrumentation and control systems. The U.S. Nuclear Regulatory Commission (NRC) accepted the general concept of online monitoring for sensor calibration monitoring in 2000, but no U.S. plants have been granted the necessary license amendment to apply it. This report presents a state-of-the-art assessment of online calibration monitoring in the nuclear power industry, including sensors, calibration practice, and online monitoring algorithms. This assessment identifies key research needs and gaps that prohibit integration of the NRC-approved online calibration monitoring system in the U.S. nuclear industry. Several needs are identified, including the quantification of uncertainty in online calibration assessment; accurate determination of calibration acceptance criteria and quantification of the effect of acceptance criteria variability on system performance; and assessment of the feasibility of using virtual sensor estimates to replace identified faulty sensors in order to extend operation to the next convenient maintenance opportunity. Understanding the degradation of sensors and the impact of this degradation on signals is key to developing technical basis to support acceptance criteria and set point decisions, particularly for advanced sensors which do not yet have a cumulative history of operating performance.

  14. Wireless Network architecture for Diagnosis and Monitoring Applications

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Wireless Network architecture for Diagnosis and Monitoring Applications Zeashan Hameed Khan, Jean.Genon-Catalot@iut-valence.fr Abstract-- This paper describes a distributed wireless network architecture for remote diagnosis a wireless network architecture for tele-operation of large industrial applications. Keywords- Wireless

  15. Cognitive Radio Network as Wireless Sensor Network (III): Passive Target Intrusion Detection

    E-Print Network [OSTI]

    Qiu, Robert Caiming

    --A Cognitive Radio Network (CRN) based Wireless Sensor Network (WSN), as an extension of CRN, is explored for radio frequency (RF) passive target intrusion detection. Compared to a cheap WSN, the CRN based WSN data col- lected by the CRN based WSN. Preliminary experimental results are quite encouraging

  16. The CitiSense Air Quality Monitoring Mobile Sensor Node Piero Zappi, Elizabeth Bales, Jing Hong Park, William Griswold and Tajana Simuni Rosing

    E-Print Network [OSTI]

    Simunic, Tajana

    conditions than the national ambient air quality standard [1]. Current air pollutant measurement networks. For example, The San Diego Air Pollution Control District (SDAPCD) maintains only five air pollutant samplingThe CitiSense Air Quality Monitoring Mobile Sensor Node Piero Zappi, Elizabeth Bales, Jing Hong

  17. 39th Annual IEEE Conference on Local Computer Networks LCN 2014, Edmonton, Canada Maintaining Sensor Networks Perpetually Via

    E-Print Network [OSTI]

    Liang, Weifa

    mobile vehicles to charge sensors in a sensor network so that none of the sensors runs out of its energy, subject to the energy capacity imposed on mobile vehicles, for which we first advocate an flexible-critical sensors with an objective to minimize the number of mobile vehicles deployed, subject to the energy

  18. Structures for InNetwork Moving Object Tracking in Wireless Sensor Networks # ChihYu Lin and YuChee Tseng

    E-Print Network [OSTI]

    Tseng, Yu-Chee

    of wireless communication and embedded micro­sensing MEMS technologies have made wireless sensor networksStructures for In­Network Moving Object Tracking in Wireless Sensor Networks # Chih­Yu Lin and Yu sensor networks is tracking moving objects. The recent progress has made it possible for tiny sensors

  19. Poster Abstract: Reliable and Energy-Efficient Bulk-Data Dissemination in Wireless Sensor Networks

    E-Print Network [OSTI]

    Poster Abstract: Reliable and Energy-Efficient Bulk-Data Dissemination in Wireless Sensor Networks of the most common applications of wireless sensor networks. Such networks are an extremely useful tool- suming and costly. Network reprogramming protocols allow to distribute code updates over the wireless

  20. To Appear: Body Sensor Networks Workshop, Boston MA, April 2006 Multi-sensor Data Fusion Using the Influence Model

    E-Print Network [OSTI]

    is that sen- sor failures are unavoidable due to insufficient power sup- ply, sensor faults, connection errors-worn sensor network is the cellphone network of the participants of the reality min- ing project [3]. In this project the 81 participants' loca- tions, their proximity information, their cellphone usages