National Library of Energy BETA

Sample records for wireless sensor networks

  1. 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

  2. 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.

  3. 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.

  4. 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

  5. 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

  6. 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.

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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...

  16. 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.

  17. 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

  18. 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

  19. 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.

  20. 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...

  1. 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

  2. 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

  3. 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  

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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, ...

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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

  1. 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

  2. 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...

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. Abstract--Wireless Sensor Network (WSN) is an emerging special type of ad-hoc wireless networks technology. It is

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Abstract-- Wireless Sensor Network (WSN) is an emerging special type of ad-hoc wireless networks that differentiate it from other types of wireless networks. These differences raise new challenges to be overcome are wireless networks where nodes can communicate wirelessly with each other without the need for a fixed

  20. 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

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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...

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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.

  8. 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

  9. 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

  10. 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

  11. 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...

  12. 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...

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  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. 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

  1. 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

  2. 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.

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  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. 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.

  13. 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

  14. Energy Efficiency of Symmetric Key Cryptographic Algorithms in Wireless Sensor Networks

    E-Print Network [OSTI]

    Heys, Howard

    Energy Efficiency of Symmetric Key Cryptographic Algorithms in Wireless Sensor Networks Xueying-- In this paper, we examine the energy efficiency of symmetric key cryptographic algorithms applied in wireless energy efficiency with a level of security suitable for wireless sensor networks. Keywords - wireless

  15. 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

  16. Wireless Sensor Networks : the hardware challenge and the cross-layering opportunity

    E-Print Network [OSTI]

    Ingrand, François

    #12;Target applications for wireless sensor networks Flight test instrumentation Pilot ­ crew;Target applications for wireless sensor networks Wireless flight test instrumentation Long term Low or medium data rate, low power nodes High number of nodes, different kind of sensors

  17. 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, energy evaluation. 1. INTRODUCTION Wireless sensor networks are, in general, more vulnerable to attacks Inffeldgasse 16a, A­8010 Graz, Austria ABSTRACT Wireless sensor nodes generally face serious limitations

  18. 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.

  19. 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

  20. 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

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. The Precision and Energetic Cost of Snapshot Estimates in Wireless Sensor Networks

    E-Print Network [OSTI]

    of the estimate and (2) in the reporting of the sample data via wireless networking. The energy requiredThe Precision and Energetic Cost of Snapshot Estimates in Wireless Sensor Networks Paul G. Flikkema, the design space of wireless sensor networks is enormous, and traditional disciplinary boundaries

  14. A Video Delivery in Wireless Sensor Networks S. Guo and T.D.C. Little

    E-Print Network [OSTI]

    Little, Thomas

    1 A Video Delivery in Wireless Sensor Networks S. Guo and T.D.C. Little Department of Electrical to different topologies, the physical medium, network channels, and energy constraints. Keywords ­ Wireless immediately once data begin to arrive at the receiver. The flexibility of wireless sensor networks coupled

  15. 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

  16. 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

  17. 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.

  18. 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

  19. 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

  20. EM-MAC: A Dynamic Multichannel Energy-Efficient MAC Protocol for Wireless Sensor Networks

    E-Print Network [OSTI]

    Wallach, Dan

    EM-MAC: A Dynamic Multichannel Energy-Efficient MAC Protocol for Wireless Sensor Networks Lei Tang ACM 978-1-4503-0722-2 ...$5.00. 1. INTRODUCTION Energy efficiency is crucial in wireless sensor networks. To this end, many energy-efficient wireless MAC protocols (e.g., [3, 6, 20­22]) have been

  1. Physical Layer Driven Protocol and Algorithm Design for Energy-Efficient Wireless Sensor Networks

    E-Print Network [OSTI]

    Han, Richard Y.

    Physical Layer Driven Protocol and Algorithm Design for Energy-Efficient Wireless Sensor Networks applications in- volving wireless sensor networks require long system lifetimes and fault-tolerance, energy attention. For the most part, this is due to the compelling applications that will be enabled once wireless

  2. A Cluster-based Energy Balancing Scheme in Heterogeneous Wireless Sensor Networks

    E-Print Network [OSTI]

    Bölöni, Ladislau L

    A Cluster-based Energy Balancing Scheme in Heterogeneous Wireless Sensor Networks Jing Ai, Damla Unbalanced energy consumption is an inherent problem in wireless sensor networks, and it is largely of energy reserve and wireless communication ability. We transform the flat communication in- frastructure

  3. On Optimal Scheduling of Multiple Mobile Chargers in Wireless Sensor Networks

    E-Print Network [OSTI]

    Wu, Jie

    On Optimal Scheduling of Multiple Mobile Chargers in Wireless Sensor Networks Richard Beigel, Jie wirelessly to static sensors in an efficient way. In this paper, we study the mobile charger coverage problem become the biggest impediment to the applications of wireless sen- sor networks (WSNs) over the years

  4. 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

  5. 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

  6. Connectivity in Secure Wireless Sensor Networks under Transmission Constraints

    E-Print Network [OSTI]

    Zhao, Jun; Gligor, Virgil

    2015-01-01

    In wireless sensor networks (WSNs), the Eschenauer-Gligor (EG) key pre-distribution scheme is a widely recognized way to secure communications. Although connectivity properties of secure WSNs with the EG scheme have been extensively investigated, few results address physical transmission constraints. These constraints reflect real-world implementations of WSNs in which two sensors have to be within a certain distance from each other to communicate. In this paper, we present zero-one laws for connectivity in WSNs employing the EG scheme under transmission constraints. These laws help specify the critical transmission ranges for connectivity. Our analytical findings are confirmed via numerical experiments. In addition to secure WSNs, our theoretical results are also applied to frequency hopping in wireless networks.

  7. Wireless Sensor Networks Lecture 1: Introduction

    E-Print Network [OSTI]

    Maróti, Miklós

    Harvard University 4 Wireless Technologies Comparison Data rate Complexity/power/cost CC1000 Bluetooth 802 University 5 Wireless Technologies Comparison Type Data rate Transmit pwr Range (approx) Cost 802.11b 11Ptr, Vanderbilt #12;2009 ­© Matt Welsh Harvard University 10 Solar panels for charging car battery (used by Free

  8. 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.

  9. Analytical Evaluation of Virtual Infrastructures for Data Dissemination in Wireless Sensor Networks

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Analytical Evaluation of Virtual Infrastructures for Data Dissemination in Wireless Sensor Networks In this paper, we address the problem of data dissemination in wireless sensor networks (WSN) with mobile sink(s). In such a context, the difficulty is for sensor nodes to efficiently track the sink and report the requested data

  10. Tracking of a Rotating Object in a Wireless Sensor Network Using Fuzzy Based Adaptive IMM Filter

    E-Print Network [OSTI]

    is presented for tracking a vehicular rotating object in a Wireless Sensor Network (WSN). In this method processing, and communication components, makes it possible to set up so-called Wireless Sensor Networks (WSN enhancement, and many other applications. A WSN consists of many low cost, spatially dispersed position sensor

  11. Clock synchronization for wireless sensor networks: a survey Bharath Sundararaman, Ugo Buy *, Ajay D. Kshemkalyani

    E-Print Network [OSTI]

    Scheuermann, Peter

    Clock synchronization for wireless sensor networks: a survey Bharath Sundararaman, Ugo Buy *, Ajay 2005; accepted 18 January 2005 Abstract Recent advances in micro-electromechanical (MEMS) technology have led to the development of small, low-cost, and low-power sensors. Wireless sensor networks (WSNs

  12. Coverage Problems in Wireless Ad-hoc Sensor Networks Seapahn Meguerdichian1

    E-Print Network [OSTI]

    technology interfacing with emerging micro-sensor based on MEMs technology [2], is allowing sophisticatedCoverage Problems in Wireless Ad-hoc Sensor Networks Seapahn Meguerdichian1 , Farinaz Koushanfar2}@cs.ucla.edu {farinaz, mbs}@ee.ucla.edu Abstract - Wireless ad-hoc sensor networks have recently emerged as a premier

  13. The Coverage Problem in a Wireless Sensor Network Chi-Fu Huang

    E-Print Network [OSTI]

    Tseng, Yu-Chee

    micro-sensing MEMS technologies has made wireless sensor net- works possible. Such environments may haveThe Coverage Problem in a Wireless Sensor Network Chi-Fu Huang Department of Computer Science-Chu, 30050, Taiwan yctseng@csie.nctu.edu.tw ABSTRACT One fundamental issue in sensor networks is the coverage

  14. 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

  15. Improving wireless network performance using sensor hints

    E-Print Network [OSTI]

    Sivalingam, Lenin Ravindranath

    2010-01-01

    Users of wireless devices often switch between being stationary and in motion while transferring data. Protocols that perform well in the static setting (where the channel conditions are relatively stable), however, tend ...

  16. 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

  17. Performance evaluation of source extraction in wireless sensor networks Hong-Bin Chen a,b,*, Chi Kong Tse a

    E-Print Network [OSTI]

    Tse, Chi K. "Michael"

    Performance evaluation of source extraction in wireless sensor networks Hong-Bin Chen a,b,*, Chi wireless sensor networks are evaluated. The sensor observations are assumed to be linear instantaneous: Available online 6 May 2008 Keywords: Wireless sensor network Blind source separation Cluster Performance

  18. Flash Flooding: Exploiting the Capture Effect for Rapid Flooding in Wireless Sensor Networks

    E-Print Network [OSTI]

    Whitehouse, Kamin

    Flash Flooding: Exploiting the Capture Effect for Rapid Flooding in Wireless Sensor Networks,whitehouse}@cs.virginia.edu Abstract--We present the Flash flooding protocol for rapid network flooding in wireless sensor networks. Traditional flooding protocols can be very slow because of neighborhood contention: nodes cannot propagate

  19. 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

  20. Synchronous Ultra-Wide Band Wireless Sensors Networks for oil and gas exploration

    E-Print Network [OSTI]

    Savazzi, Stefano

    Synchronous Ultra-Wide Band Wireless Sensors Networks for oil and gas exploration Stefano Savazzi1 of new oil and gas reservoir. Seismic exploration requires a large number (500 ÷ 2000 nodes, MAC and network layer to develop wireless sensors networks tailored for oil (and gas) exploration

  1. Opportunistic Flooding in Low-Duty-Cycle Wireless Sensor Networks with Unreliable Links

    E-Print Network [OSTI]

    Minnesota, University of

    . Combined with unreliable links, flooding in low-duty-cycle networks is a new challenging issueOpportunistic Flooding in Low-Duty-Cycle Wireless Sensor Networks with Unreliable Links Shuo Guo, little work has yet been done on low-duty-cycle wireless sensor networks in which nodes stay asleep most

  2. 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...

  3. A Channel Model for Wireless Sensor Networks in Gas Turbine Engines

    E-Print Network [OSTI]

    Atkinson, Robert C

    A Channel Model for Wireless Sensor Networks in Gas Turbine Engines K. Sasloglou, I. A. Glover , P.5 GHz) for wireless sensors deployed over the external surfaces of a gas turbine engine is reported turbine engine. I. INTRODUCTION Wireless sensing offers a potential step change in gas turbine engine

  4. Study of Joint Routing and Wireless Charging Strategies in Sensor Networks

    E-Print Network [OSTI]

    Qiao, Daji

    Study of Joint Routing and Wireless Charging Strategies in Sensor Networks Zi Li, Yang Peng,yangpeng,wzhang,daji}@iastate.edu Abstract. In recent years, wireless charging (a.k.a. wireless energy transfer- ring) [3] has been. Comparing to the conventional energy conservation or harvesting approaches, wireless charging can replenish

  5. 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.

  6. 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.

  7. Multi-objective Mobile Agent Routing in Wireless Sensor Networks Ramesh Rajagopalan, Chilukuri K. Mohan, Pramod Varshney, Kishan Mehrotra

    E-Print Network [OSTI]

    Coello, Carlos A. Coello

    Due to their flexibility and cost effectiveness, wireless sensor networks (WSNs) have been usedMulti-objective Mobile Agent Routing in Wireless Sensor Networks Ramesh Rajagopalan, Chilukuri K. Mohan, Pramod Varshney, Kishan Mehrotra Electrical Engineering and Computer Science Dept., Syracuse

  8. Development of a photovoltaic power supply for wireless sensor networks.

    SciTech Connect (OSTI)

    Harvey, Matthew R.; Kyker, Ronald D.

    2005-06-01

    This report examines the design process of a photovoltaic (solar) based power supply for wireless sensor networks. Such a system stores the energy produced by an array of photovoltaic cells in a secondary (rechargeable) battery that in turn provides power to the individual node of the sensor network. The goal of such a power supply is to enable a wireless sensor network to have an autonomous operation on the order of years. Ideally, such a system is as small as possible physically while transferring the maximum amount of available solar energy to the load (the node). Within this report, there is first an overview of current solar and battery technologies, including characteristics of different technologies and their impact on overall system design. Second is a general discussion of modeling, predicting, and analyzing the extended operation of a small photovoltaic power supply and setting design parameters. This is followed by results and conclusions from the testing of a few basic systems. Lastly, some advanced concepts that may be considered in order to optimize future systems will be discussed.

  9. AN ASYMPTOTICALLY OPTIMAL APPROACH TO THE DISTRIBUTED ADAPTIVE TRANSMIT BEAMFORMING IN WIRELESS SENSOR NETWORKS

    E-Print Network [OSTI]

    Beigl, Michael

    the plants on a field. As the transmission power of each single node is too weak to reach the distant]. A solution to synchronize carrier signals of distributed wireless nodes is virtual/cooperative MIMO for wireless sen- sor networks [1, 2, 3]. In virtual MIMO for wireless sensor networks, single antenna nodes

  10. 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

  11. 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

  12. Wireless Sensor Networks Powered by Ambient Energy Harvesting (WSN-HEAP) Survey and

    E-Print Network [OSTI]

    Shihada, Basem

    Wireless Sensor Networks Powered by Ambient Energy Harvesting (WSN-HEAP) ­ Survey and Challenges and Engineering National University of Singapore, Singapore Email: g0601792@nus.edu.sg Abstract--Wireless sensor is to convert the ambient energy from the environment into electricity to power the sensor nodes. While

  13. http://www.cs.bu.edu/groups/wing Density Inference in Wireless Sensor Networks

    E-Print Network [OSTI]

    Matta, Abraham "Ibrahim"

    @ BANANAS'05: Density Inference in WSN 2 What's a sensor network? Sensor nodes perform sensing tasks;1/20/2005 Matta @ BANANAS'05: Density Inference in WSN 3 What's a SN? (cont'd) Data flowing from sources (sensors @ BANANAS'05: Density Inference in WSN 4 Application-specific Protocols Wireless SN Ad-hoc wireless

  14. Introduction to Model-based Reliability Evaluation of Wireless Sensor Networks

    E-Print Network [OSTI]

    Breu, Ruth

    Introduction to Model-based Reliability Evaluation of Wireless Sensor Networks C. J¨aggle J: A high level of reliability is a significant requirement for using wireless sensor networks in industrial environments. Model-based evaluation is usually applied in conventional systems to estimate the reliability

  15. Energy Modeling of Processors in Wireless Sensor Networks based on Petri Nets

    E-Print Network [OSTI]

    Zhu, Yifeng

    Energy Modeling of Processors in Wireless Sensor Networks based on Petri Nets Ali Shareef, Yifeng, zhu }@eece.maine.edu Abstract Power minimization is a serious issue in wireless sensor networks are needed. This paper demonstrates that Petri nets are a viable option of modeling a processor. In fact

  16. Utilizing Solar Power in Wireless Sensor Networks Thiemo Voigt, Hartmut Ritter, Jochen Schiller

    E-Print Network [OSTI]

    Voigt, Thiemo

    Utilizing Solar Power in Wireless Sensor Networks Thiemo Voigt, Hartmut Ritter, Jochen Schiller propose to utilize solar power in wireless sensor networks, establishing a topology where ­ changing over propose and evaluate two protocols that perform solar- aware routing. The presented simulation results

  17. Energy-efficient Capacity-constrained Routing in Wireless Sensor Networks

    E-Print Network [OSTI]

    Venkatesan, S.

    1 Energy-efficient Capacity-constrained Routing in Wireless Sensor Networks Maulin Patel*, R of packets, which will waste considerable amount of energy. This paper present a Minimum-cost Capacity-hoc networks; Routing; Maximum Lifetime; Energy efficient; Capacity-constrained I. INTRODUCTION Wireless sensor

  18. Robust and Probabilistic Power-aware Scheduling of Wireless Sensor Networks

    E-Print Network [OSTI]

    Egerstedt, Magnus

    that sensing devices are equipped with small devices like solar panels to harvest energy. In such scenariosRobust and Probabilistic Power-aware Scheduling of Wireless Sensor Networks Hassan Jaleel and Magnus Egerstedt Abstract-- In this paper, we investigate randomly deployed wireless sensor networks

  19. Modeling and Analysis of Energy Harvesting Nodes in Wireless Sensor Networks

    E-Print Network [OSTI]

    Sikdar, Biplab

    Modeling and Analysis of Energy Harvesting Nodes in Wireless Sensor Networks Alireza Seyedi for energy harvesting nodes in wireless sensor networks is proposed. Using the pre- sented model, the probability of event loss due to energy run out as well as an analytical vulnerability metric, namely average

  20. An Optimal Energy Allocation Algorithm for Energy Harvesting Wireless Sensor Networks

    E-Print Network [OSTI]

    Wong, Vincent

    An Optimal Energy Allocation Algorithm for Energy Harvesting Wireless Sensor Networks Shaobo Mao--With the use of energy harvesting technologies, the lifetime of a wireless sensor network (WSN) can be pro- longed significantly. Unlike a traditional WSN powered by non- rechargeable batteries, the energy

  1. SensEH: From Simulation to Deployment of Energy Harvesting Wireless Sensor Networks

    E-Print Network [OSTI]

    Picco, Gian Pietro

    SensEH: From Simulation to Deployment of Energy Harvesting Wireless Sensor Networks Riccardo Dall@fbk.eu Abstract--Energy autonomy and system lifetime are critical concerns in wireless sensor networks (WSNs problem. Indeed, in many cases the energy density--whether solar, wind, vibrational or thermal in nature

  2. Cryptographic Protocols to Fight Sinkhole Attacks on Tree-based Routing in Wireless Sensor Networks

    E-Print Network [OSTI]

    Ives, Zachary G.

    Cryptographic Protocols to Fight Sinkhole Attacks on Tree-based Routing in Wireless Sensor Networks in limiting network degradation caused by sinkhole attacks on tree-based routing topologies in Wireless Sensor in improving resilience against sinkhole attacks, even in the presence of some collusion. I. INTRODUCTION

  3. Cryptographic Protocols to Fight Sinkhole Attacks on Tree-based Routing in Wireless Sensor Networks

    E-Print Network [OSTI]

    Le Fessant, Fabrice - Institut national de recherche en informatique et en automatique, Centre de recherche INRIA Saclay

    Cryptographic Protocols to Fight Sinkhole Attacks on Tree-based Routing in Wireless Sensor Networks in limiting network degradation caused by sinkhole attacks on tree-based routing topologies in Wireless Sensor are effective in improving resilience against sinkhole attacks, even in the presence of some collusion. I

  4. Adaptive Control of Duty Cycling in Energy-Harvesting Wireless Sensor Networks

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Adaptive Control of Duty Cycling in Energy-Harvesting Wireless Sensor Networks Christopher M wireless sensor network deployments are using harvested environmental energy to extend system lifetime. Because the temporal profiles of such energy sources exhibit great variability due to dynamic weather

  5. Self-Selecting Reliable Path Routing in Diverse Wireless Sensor Network Environments

    E-Print Network [OSTI]

    Varela, Carlos

    , szymansk}@cs.rpi.edu Abstract Routing protocols for Wireless Sensor Networks (WSN) face three major three of the afore-mentioned challenges. 1. Introduction A Wireless Sensor Network (WSN) consists environments for extended periods of time. Moreover, WSN must be autonomous, fault tolerant, and energy

  6. PREDICTIVE POWER CONTROL FOR DYNAMIC STATE ESTIMATION OVER WIRELESS SENSOR NETWORKS WITH RELAYS

    E-Print Network [OSTI]

    for state estimation of a stationary ARMA process over a wireless sensor network (WSN), consisting of sensor networks for a widespread of ap- plications, e.g., target-tracking and data acquisition [5,15]. A WSN energy. The wireless communication channel between nodes in the WSN is subject to fading, which

  7. Secure Connectivity model in Wireless Sensor Networks (WSN) using 1st order Reed-Muller codes

    E-Print Network [OSTI]

    International Association for Cryptologic Research (IACR)

    Secure Connectivity model in Wireless Sensor Networks (WSN) using 1st order Reed-Muller codes of separately treating the connectivity and communication model of a Wireless Sensor Network(WSN). We then propose a novel connectivity model for a WSN using first order Reed-Muller Codes. While the model has

  8. TeaCP: a Toolkit for Evaluation and Analysis of Collection Protocols in Wireless Sensor Networks

    E-Print Network [OSTI]

    Starobinski, David

    in Wireless Sensor Networks (WSN) including intra-car WSN. Though there exist WSN tools capable of controlling in both simulation and experimental environments. Through simulation of an intra-car WSN and real lab. INTRODUCTION Data collection is intrinsic to numerous applications in Wireless Sensor Networks (WSN), ranging

  9. Energy-Aware Scheduling with Quality of Surveillance Guarantee in Wireless Sensor Networks Technical Report

    E-Print Network [OSTI]

    Jeong, Jaehoon "Paul"

    Energy-Aware Scheduling with Quality of Surveillance Guarantee in Wireless Sensor Networks 200 Union Street SE Minneapolis, MN 55455-0159 USA TR 06-021 Energy-Aware Scheduling with Quality #12;#12;1 Energy-Aware Scheduling with Quality of Surveillance Guarantee in Wireless Sensor Networks

  10. DEAR: Delay-bounded Energy-constrained Adaptive Routing in Wireless Sensor Networks

    E-Print Network [OSTI]

    Tang, Jian "Neil"

    DEAR: Delay-bounded Energy-constrained Adaptive Routing in Wireless Sensor Networks Shi Bai¶, Weiyi in wireless sensor networks. In this work, we study Delay-bounded Energy-constrained Adaptive Routing (DEAR) problem with reli- ability, differential delay, and transmission energy consumption constraints

  11. 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

  12. Wireless sensor network planning with application to UWB localization in GPS-denied environments

    E-Print Network [OSTI]

    Jourdan, Damien, 1978-

    2006-01-01

    Wireless Sensor Networks (WSN) have received much attention in the past 5 years, and much progress has been made in designing hardware, communications protocols, routing, and sensor fusion algorithms. The planning and ...

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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)

  20. ccurate and low-cost sensor localization is a critical requirement for the deployment of wireless sensor networks in a wide variety of applications. Low-power wireless sensors

    E-Print Network [OSTI]

    Cafarella, Michael J.

    Dramatic advances in RF and MEMS IC design have made possible the use of large networks of wireless sensorsccurate and low-cost sensor localization is a critical requirement for the deployment of wireless sensor networks in a wide variety of applications. Low-power wireless sensors may be many hops away from

  1. Synchronization of Multiple Levels of Data Fusion in Wireless Sensor Networks Wei Yuan, Srikanth V. Krishnamurthy, and Satish K. Tripathi

    E-Print Network [OSTI]

    Krishnamurthy, Srikanth

    to the severe energy constraints, sensor networks normally employ in-network data fusion [3][4]; the power1 Synchronization of Multiple Levels of Data Fusion in Wireless Sensor Networks Wei Yuan, Srikanth of California, Riverside, Riverside, CA, 92521 Abstract--In wireless sensor networks, in-network data fusion

  2. Analysis of Energy Harvesting for Vibration-Motivated Wireless Sensor Networks

    E-Print Network [OSTI]

    Lim, Sunho

    Analysis of Energy Harvesting for Vibration-Motivated Wireless Sensor Networks Sunho Lim Dept.com Abstract-- Extracting an electrical energy from various environmental sources, called energy harvesting (or energy scavenging), has been attracting researchers' attention in energy replenishable networks

  3. 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

  4. On Reliable Broadcast in Low Duty-Cycle Wireless Sensor Networks

    E-Print Network [OSTI]

    Liu, Jiangchuan (JC)

    energy and extend the network lifetime. Unfortunately, the impact of such cycles has been largely ignored to the wireless loss with good scalability on the network size and density. In addition, it enables flexibleOn Reliable Broadcast in Low Duty-Cycle Wireless Sensor Networks Feng Wang, Student Member, IEEE

  5. 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

  6. On Performance Metrics for Guaranteed QoS in Industrial Mobile Wireless Sensor Networks

    E-Print Network [OSTI]

    Oak Ridge National Laboratory

    , adaptation, and innovation. The ISA SP100, Wireless for Industrial Automation*, efforts in addressing1 On Performance Metrics for Guaranteed QoS in Industrial Mobile Wireless Sensor Networks Teja}@ornl.gov Wireless technology is fueling new paradigms in personal, commercial, and industrial communications systems

  7. Energy-Aware Spectrum Sensing in Cognitive Wireless Sensor Networks: a Cross Layer Approach

    E-Print Network [OSTI]

    Shihada, Basem

    Energy-Aware Spectrum Sensing in Cognitive Wireless Sensor Networks: a Cross Layer Approach Luca-power wireless motes [6] and thus introduces significant energy overhead. In order to meet power constraints Stabellini and Jens Zander Wireless@KTH, The Royal Institute of Technology, Electrum 418, SE-164 40 Kista

  8. 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

  9. A Semantic Analysis of Key Management Protocols for Wireless Sensor Networks$

    E-Print Network [OSTI]

    Merro, Massimo

    analysis of three well-known key management protocols for wireless sensor networks: µTESLA, LEAP+ and Li. Introduction Wireless sensors are small and cheap devices powered by low-energy batteries, equipped with radio protocol. Due to resource limitations, all key management protocols for WSNs, such as µTESLA [1], LiSP [2

  10. QueueTrak: Automated Line Length Detection using a Wireless Sensor Network

    E-Print Network [OSTI]

    Whitehouse, Kamin

    , it uses a series of custom active infrared sensors to detect the length of a line in a store or restaurant the design, implementation, and evaluation of QueueTrak, a sensor network that measures the length of linesQueueTrak: Automated Line Length Detection using a Wireless Sensor Network Jared Alexander, Matthew

  11. Wireless Sensor Networks Powered by Ambient Energy Harvesting (WSN-HEAP) Survey and

    E-Print Network [OSTI]

    Shihada, Basem

    Wireless Sensor Networks Powered by Ambient Energy Harvesting (WSN-HEAP) ­ Survey and Challenges networks (WSNs) research has pre- dominantly assumed the use of a portable and limited energy source, viz. batteries, to power sensors. Without energy, a sensor is essentially useless and cannot contribute

  12. Multi-sensor Wireless System for Fault Detection in Induction Motors

    E-Print Network [OSTI]

    Tarkesh Esfahani, Ehsan

    2012-01-01

    Fault Diagnostics Using Wireless Sensor Networks,” IEEEOpportunities and Challenges of Wireless Sensor Networks inBrithinee, “The application of wireless sensor networks for

  13. 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

  14. Secure Code Distribution in Dynamically Programmable Wireless Sensor Networks

    E-Print Network [OSTI]

    Han, Richard Y.

    , remote wireless reprogramming of deployed sensor nodes that may be spread out over rugged terrain is far of semiconductor fabrication labs or oil tankers [3], code updates must be verified to en- sure that catastrophic

  15. Adaptive Data Fusion for Energy Efficient Routing in Wireless Sensor Networks

    E-Print Network [OSTI]

    Liu, Yonghe

    1 Adaptive Data Fusion for Energy Efficient Routing in Wireless Sensor Networks Hong Luo, Jun Luo redundancy and hence curtail network load, the fusion process itself may introduce significant energy Fusion Steiner Tree (AFST), for energy efficient data gathering in sensor networks. Not only does AFST

  16. Efficient Aggregation of Delay-Constrained Data in Wireless Sensor Networks Kemal Akkaya and Mohamed Younis

    E-Print Network [OSTI]

    Younis, Mohamed

    energy saving mechanism for sensor nodes is to exploit in-network data aggregation. In wireless sensor of in-network data aggregation is to eliminate unnecessary packet transmission by filtering out conditions data are routed in a best- effort manner with flexible latency bounds. Contemporary in-network

  17. Consumed-Energy-Type-Aware Routing for Wireless Sensor Networks Shinya Ito and Kenji Yoshigoe

    E-Print Network [OSTI]

    Yoshigoe, Kenji

    Consumed-Energy-Type-Aware Routing for Wireless Sensor Networks Shinya Ito and Kenji Yoshigoe protocol, and several approaches to energy aware routing algorithms in wireless networks have been proposed}@ualr.edu Abstract This study proposes and investigates consumed- energy-type-aware routing (CETAR), a new metric

  18. An Energy Model for Simulation Studies of Wireless Sensor Networks using OMNeT++

    E-Print Network [OSTI]

    Breu, Ruth

    An Energy Model for Simulation Studies of Wireless Sensor Networks using OMNeT++ Feng Chen, Isabel for the simulation frame- work OMNeT++. The model allows to accurately evaluate the energy performance (in terms Simulation is frequently used to evaluate the performance of networking algorithms and techniques in wireless

  19. Reliable Positioning with Hybrid Antenna Model for Aerial Wireless Sensor and Actor Networks

    E-Print Network [OSTI]

    Turgut, Damla

    of multiple unmanned aerial vehicles. An actor node in the network has the capabilities of both acting accordingly. The recent advances in Unmanned Aerial Vehicles (UAVs) made it possible to deploy Aerial WirelessReliable Positioning with Hybrid Antenna Model for Aerial Wireless Sensor and Actor Networks Kai Li

  20. Adaptive Network Management for Countering Selective Capture in Wireless Sensor Networks

    E-Print Network [OSTI]

    Chen, Ing-Ray

    station in a wireless sensor network (WSN) to block data delivery. We consider 3 countermeasures and the intrusion invocation interval used for intrusion detection under which the lifetime of a WSN is maximized to limited resources, a WSN must minimize energy consumption to prolong the system useful lifetime, while

  1. Optimal Remote Homing for Providing Service Differentiation in Information-Aware Multi-Layered Wireless Sensor Networks

    E-Print Network [OSTI]

    Vokkarane, Vinod M.

    -Layered Wireless Sensor Networks Jianping Wang Department of Computer Sciences Georgia Southern University@umassd.edu Abstract-- Sensor networks are fundamentally deployed to handle extreme behaviors across sensing sites. Service differen- tiation in information-aware wireless sensor network refers to the ability to provide

  2. Creation and maintenance of a communication tree in wireless sensor networks 

    E-Print Network [OSTI]

    Jung, Eun Jae

    2009-05-15

    A local reconfiguration algorithm (INP) for reliable routing in wireless sensor networks that consist of many static (fixed) energy-constrained nodes is introduced in the dissertation. For routing around crash fault nodes, ...

  3. 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 ...

  4. Distributed data processing within dense networks of wireless sensors using parallelized model updating techniques

    E-Print Network [OSTI]

    Lynch, Jerome P.

    simulated annealing search method optimized for in-network execution, this algorithm efficiently assigns structure model of a six-story steel building exposed to seismic base motion. Keywords: Wireless sensors

  5. Self organization of wireless sensor networks using ultra-wideband radios

    DOE Patents [OSTI]

    Dowla, Farid U. (Castro Valley, CA); Nekoogar, Franak (San Ramon, CA); Spiridon, Alex (Palo Alto, CA)

    2009-06-16

    A novel UWB communications method and system that provides self-organization for wireless sensor networks is introduced. The self-organization is in terms of scalability, power conservation, channel estimation, and node synchronization in wireless sensor networks. The UWB receiver in the present invention adds two new tasks to conventional TR receivers. The two additional units are SNR enhancing unit and timing acquisition and tracking unit.

  6. Lifetime-Aware Hierarchical Wireless Sensor Network Architecture with Mobile Overlays

    E-Print Network [OSTI]

    Pedram, Massoud

    ,morteza,pedram}@usc.edu ABSTRACT-- Recent technological advances have led to the emergence of small battery-powered sensors battery replacement in a large network is not a feasible solution, we consider mobile relays. Mobility1 Lifetime-Aware Hierarchical Wireless Sensor Network Architecture with Mobile Overlays Maryam

  7. 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

  8. Demand-scalable geographic multicasting in wireless sensor networks Shibo Wu *, K. Selcuk Candan

    E-Print Network [OSTI]

    Candan, Selçuk

    schemes for situations where scalable transmission paths can save power. In particular, we propose distributed and scalable manner. Furthermore, to save power of the sensors and routing nodes, networkDemand-scalable geographic multicasting in wireless sensor networks Shibo Wu *, K. Selc¸uk Candan

  9. 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

  10. A Taxonomy of Routing Protocols for Wireless Sensor Networks Gergely Acs, Levente Buttyan

    E-Print Network [OSTI]

    Levente, Buttyán

    A Taxonomy of Routing Protocols for Wireless Sensor Networks Gergely ´Acs, Levente Butty application scenarios. In this work, we propose a taxonomy of sensor network routing protocols, and classify the mainstream protocols proposed in the literature using this taxonomy. We distinguish five families

  11. 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.

  12. Energy Efficiency of MIMO Transmission Strategies in Wireless Sensor Networks Huaiyu Dai, Liang Xiao, and Quan Zhou

    E-Print Network [OSTI]

    Dai, Huaiyu

    Energy Efficiency of MIMO Transmission Strategies in Wireless Sensor Networks Huaiyu Dai, Liang in the link adaptation study. Keywords: Cooperative MIMO, Energy Efficiency, MIMO Transmission, Mobile Agent, Sensor Network, Spectral Efficiency, Virtual MIMO, Wideband Regime. #12;Energy Efficiency of MIMO

  13. 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

  14. 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

  15. 2 IEEE/ACM TRANSACTIONS ON NETWORKING, VOL. 11, NO. 1, FEBRUARY 2003 Directed Diffusion for Wireless Sensor Networking

    E-Print Network [OSTI]

    Scheuermann, Peter

    explore the directed-diffusion paradigm for such coordination. Directed diffusion is data-centric--Data aggregation, data-centric routing, dis- tributed sensing, in-network processing, wireless sensor networks. I- digm for such sensor networks. This paradigm, which we call directed diffusion,1 is data-centric. Data

  16. Implementation and Experimentation of Industrial Wireless Sensor-Actuator Network

    E-Print Network [OSTI]

    Lu, Chenyang

    , Washington University in St. Louis 2 National Renewable Energy Laboratory Abstract. Wireless sensor University in St. Louis and currently works at National Renewable Energy Laboratory. The first two authors routing leads to significant improvement over source routing in term of worst-case reliability

  17. Methodologies for Comparing Clustering Algorithms in Wireless Sensor Networks

    E-Print Network [OSTI]

    Turau, Volker

    ¨utz Institute of Telematics Hamburg University of Technology (TUHH) Hamburg, Germany stefan sensors are an inappropriate technology in such scenarios. This motivates the usage of tiny wireless are often equipped with limited resources (e.g., energy, memory). Therefore strategies for adminis- trating

  18. Non-Uniform Entropy Compression for Uniform Energy Distribution in Wireless Sensor Networks

    E-Print Network [OSTI]

    California at Davis, University of

    -non-homogeneity in the network. Bottleneck nodes trade computation energy for transmission energy, which extends and normalizesNon-Uniform Entropy Compression for Uniform Energy Distribution in Wireless Sensor Networks to increase the network's lifetime and to normalize the energy use per unit time, but they each have

  19. HarvWSNet: A Co-Simulation Framework for Energy Harvesting Wireless Sensor Networks

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    HarvWSNet: A Co-Simulation Framework for Energy Harvesting Wireless Sensor Networks Amine Didioui1 HarvWSNet's ability to predict network lifetime while minimally penalizing simulation time. Index Terms--Energy to the simulation of continuous-time systems such as energy harvesting. Moreover, most network simulators offer only

  20. Modular Topology Control and Energy Model for Wireless Ad Hoc Sensor Networks

    E-Print Network [OSTI]

    Jay Yang, Shanchieh

    Modular Topology Control and Energy Model for Wireless Ad Hoc Sensor Networks Niranjan in a harsh terrain typically are battery operated and, therefore, require energy efficient network protocols. In order to ease the analysis of the energy usage of proposed network protocols, this paper proposes

  1. 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

  2. Towards Stable Network Performance in Wireless Sensor Networks

    E-Print Network [OSTI]

    Stankovic, John A.

    Whitehouse, Yafeng Wu, John A. Stankovic, and Tian He Department of Computer Science, University of Virginia of Computer Science and Engineering, University of Minnesota, Minneapolis, MN {shanlin, whitehouse, yw5s, stankovic}@cs.virginia.edu {gzhou}@cs.wm.edu {tianhe}@cs.umn.edu Abstract--Many applications in wireless

  3. Resilient Data-Centric Storage in Wireless Ad-Hoc Sensor Networks

    E-Print Network [OSTI]

    Chuang, John C.-I.

    Resilient Data-Centric Storage in Wireless Ad-Hoc Sensor Networks Abhishek Ghose, Jens Grossklags to the limited battery life of sensor devices. It has been shown that data-centric methodologies can be used to solve this problem efficiently. In data-centric storage, a recently proposed data dissemina- tion

  4. Trading Computation & Precision for Energy in Wireless Sensor Networks with Applications

    E-Print Network [OSTI]

    Kalpakis, Konstantinos

    Trading Computation & Precision for Energy in Wireless Sensor Networks with Applications, and how we affect our environment. The limited energy of those sensors poses the challenge of using such systems in an energy efficient man- ner to perform various activities. In many of these activi- ties

  5. Energy Harvesting Enabled Wireless Sensor Networks: Energy Model and Battery Dimensioning

    E-Print Network [OSTI]

    Politčcnica de Catalunya, Universitat

    - ferent natures, such as mechanical, thermal, solar, acoustic and electromagnetic (EM) energy [8Energy Harvesting Enabled Wireless Sensor Networks: Energy Model and Battery Dimensioning Raul to energy require- ments. The Self-Powered WSN approach aims to extend the sensor node life by means

  6. Towards a Zero-Configuration Wireless Sensor Network Architecture for Smart Buildings

    E-Print Network [OSTI]

    Towards a Zero-Configuration Wireless Sensor Network Architecture for Smart Buildings Lars Schor. Within a smart building many sensors and actuators are interconnected to form a control system. Nowa system. A smart power outlet will report the current energy usage of the attached device to a central

  7. Modelling Data-Centric Routing in Wireless Sensor Networks Bhaskar Krishnamachari, Deborah Estrin, and Stephen Wicker

    E-Print Network [OSTI]

    Krishnamachari, Bhaskar

    sensors is based on common phenomena, there is likely to 1 #12;be some redundancy in the data beingModelling Data-Centric Routing in Wireless Sensor Networks Bhaskar Krishnamachari, Deborah Estrin ­ Systems University of Southern California Los Angeles, California 90089-2562 213-740-4465 #12;Modelling

  8. EPIC-RoofNet: An Experimental Testbed for Solar-powered Wireless Sensor Networks

    E-Print Network [OSTI]

    Nasipuri, Asis

    experiments on solar-powered sensor nodes. Due to constraints in cost and size, the solar panelsEPIC-RoofNet: An Experimental Testbed for Solar-powered Wireless Sensor Networks Amitangshu Pal that periodically sample environmental parameters such as solar irradiance and temperature and transmit them

  9. End-to-End Delay Analysis in Wireless Sensor Networks with Service Vacation

    E-Print Network [OSTI]

    Shihada, Basem

    and control systems, where sensors detect chemical gases and operating conditions of plant facilities. On th distributions matches the simulation results. Index Terms--Wireless sensor networks, queueing theory, end- to-equipped, low-power, and low-cost devices with limited sensing, data processing, transmission range, memory

  10. Ad Hoc & Sensor Wireless Networks, Vol. 3, pp. 5575 Reprints available directly from the publisher

    E-Print Network [OSTI]

    Liang, Weifa

    Photocopying permitted by license only c 2007 Old City Publishing, Inc. Published by license under the OCP Science imprint, a member of the Old City Publishing Group Energy-Efficient Aggregate Query Evaluation. In Final Form: February 28, 2006. Wireless sensor networks, consisting of sensors equipped with energy

  11. Map-based Support for Wireless Sensor Network Piotr Szczytowski, Abdelmajid Khelil, Neeraj Suri

    E-Print Network [OSTI]

    Suri, Neeraj

    } Fax: +49 6151 16 4310 Abstract-- Wireless Sensor Networks (WSN) are receiving growing attention, the simulation environments need to be able to support the evolving WSN design schemes. While a growing research trend in WSN is to address regions instead of single sensor nodes, existing WSN simulation environments

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

    E-Print Network [OSTI]

    Minnesota, University of

    1 Energy-Aware Scheduling with Quality of Surveillance Guarantee in Wireless Sensor Networks, MN 55455 Email: {jjeong,ssharaf,du}@cs.umn.edu Abstract-- We propose and evaluate an energy a tradeoff between overall energy consumed by the sensors and the average detection time of a target, both

  13. Energy-Quality Tradeoffs for Target Tracking in Wireless Sensor Networks

    E-Print Network [OSTI]

    Krishnamachari, Bhaskar

    Energy-Quality Tradeoffs for Target Tracking in Wireless Sensor Networks Sundeep Pattem1 , Sameera-of-magnitude energy savings with negligible difference in tracking quality. We then consider duty-cycled activation. In these sensor activation strategies, energy savings come at the expense of a reduction in the quality

  14. Combinatorial structures for Design of Wireless Sensor Networks

    E-Print Network [OSTI]

    Seberry, Jennifer

    of Radio Waves Affect Networking Capabilities An ideal radio wave for wireless technologies should have high speed, travel far distances and consume little energy. Had such radio waves existed, it would have power. Unfortunately, real radio waves do not behave like that. The high speed and long range of a radio

  15. Context & Environmental Aware Wireless Sensor Networks for Reconfigurable Manufacturing Systems

    E-Print Network [OSTI]

    Howitt, Ivan

    for designing a wireless network to support the communication requirements for RMS is presented. Keywords market, plant supervisors and production managers need to maintain awareness of the production process these increasing demands for industrial communications. In Figure 1, a scenario is illustrated where a hierarchal

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

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

    Derr, Kurt; Manic, Milos

    2015-01-01

    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.

  17. 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

  18. CFlood: A Constrained Flooding Protocol for Real-Time Data Delivery in Wireless Sensor Networks

    E-Print Network [OSTI]

    Ravindran, Binoy

    CFlood: A Constrained Flooding Protocol for Real-Time Data Delivery in Wireless Sensor Networks Bo networks. We present a constrained flooding protocol, called CFlood that enhances the deadline satisfaction-time perfor- mance by flooding, but effectively constrains energy consumption by controlling the scale

  19. D3: Data-centric Data Dissemination in Wireless Sensor Networks

    E-Print Network [OSTI]

    Langendoen, Koen

    D3: Data-centric Data Dissemination in Wireless Sensor Networks Maarten Ditzel Netherlands, called D3 (Data-centric Data Dissemination). The method combines the advantages of data-centric routing much energy or poorly support multi-hop networks. In [8] and [9] the authors propose a new data-centric

  20. Address Assignment and Routing Schemes for ZigBee-Based Long-Thin Wireless Sensor Networks

    E-Print Network [OSTI]

    Tseng, Yu-Chee

    that the address assignment and thus the tree routing scheme defined in the original ZigBee specification may work Terms--address assignment, long-thin network, routing protocol, wireless sensor network, ZigBee. I [5]. For interoperability among different systems, standards such as ZigBee [17] have been developed

  1. 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

  2. Centralized Routing Protocol for Wireless Sensor Networks with Ultra Low Duty Cycle to Achieve Maximum Lifetime

    E-Print Network [OSTI]

    Bahk, Saewoong

    Centralized Routing Protocol for Wireless Sensor Networks with Ultra Low Duty Cycle to Achieve performance because most of them are designed without considering a ultra low duty cycled environment to improve a network lifetime and a routing maintenance cost. We explain the issues of a ultra low duty

  3. LMEEC: Layered Multi-Hop Energy Efficient Cluster-based Routing Protocol for Wireless Sensor Networks

    E-Print Network [OSTI]

    Khelifi, Manel

    2012-01-01

    In this paper, we propose LMEEC, a cluster-based routing protocol with low energy consumption for wireless sensor networks. Our protocol is based on a strategy which aims to provide a more reasonable exploitation of the selected nodes (cluster-heads) energy. Simulation results show the effectiveness of LMEEC in decreasing the energy consumption, and in prolonging the network lifetime, compared to LEACH.

  4. BEAM: A Burst-Aware Energy-Efficient Adaptive MAC Protocol for Wireless Sensor Networks

    E-Print Network [OSTI]

    Braun, Torsten

    BEAM: A Burst-Aware Energy-Efficient Adaptive MAC Protocol for Wireless Sensor Networks Markus for supporting hop-to-hop reliability, lowering the overall energy expenditures of the network for end-to-end transmissions. The protocol itself is IEEE 802.15.4 conform and can easily be used for energy-efficient TCP

  5. Improving the Energy Balance of Field-based Routing in Wireless Sensor Networks

    E-Print Network [OSTI]

    Scheuermann, Peter

    Improving the Energy Balance of Field-based Routing in Wireless Sensor Networks Goce Trajcevski of the network merge into a single path. These path merging effects decrease significantly the energy balance deployments. When multiple sources transmit infor- mation simultaneously, together with energy balancing

  6. Mobile Element Path Planning for Time-Constrained Data Gathering in Wireless Sensor Networks

    E-Print Network [OSTI]

    Viglas, Anastasios

    the performance of our algorithm by comparing it to the optimal solution as well as to an alternative heuristic, commonly used in related time-window vehicle routing problems, and demonstrate the superior performance networks, travelling salesman problems, and vehicle routing. In wireless sensor networks, for example

  7. A Study on Energy Harvesting Aware Routing for Vibration-Motivated Wireless Sensor Networks

    E-Print Network [OSTI]

    Lim, Sunho

    A Study on Energy Harvesting Aware Routing for Vibration-Motivated Wireless Sensor Networks TTU an electrical energy from various environmental sources, called energy harvesting (or energy scavenging), has been an issue and attracting researchers' attention in energy replenishable networks. In par- ticular

  8. Breath: a Self-Adapting Protocol for Wireless Sensor Networks in

    E-Print Network [OSTI]

    Johansson, Karl Henrik

    1 Breath: a Self-Adapting Protocol for Wireless Sensor Networks in Control and Automation P. G the energy consumption of the network while ensuring a desired packet delivery end-to-end reliability consumption and the constraints are the packet latency and reliability, is posed and solved. It is shown

  9. The D-Systems Project -Wireless Sensor Networks for Car-Park Management

    E-Print Network [OSTI]

    Sreenan, Cormac J.

    to perform data aggregation, when operating with a limited data delivery time budget. 3. Two new energy that they can be deployed in existing car-parks without having to install new cabling for networkThe D-Systems Project - Wireless Sensor Networks for Car-Park Management J. Barton, J. Buckley, B

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. Cooperative Diversity Routing in Wireless Networks

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Cooperative Diversity Routing in Wireless Networks Mostafa Dehghan and Majid Ghaderi Department routing, cooperative commu- nication, cooperative diversity, wireless networks. I. INTRODUCTION Energy efficiency is a challenging problem in wireless networks, especially in ad hoc and sensor networks, where

  16. 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

  17. 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.

  18. PERFORMANCE ANALYSIS USING SEQUENTIAL DETECTION IN A SERIAL MULTI-HOP WIRELESS SENSOR NETWORK 

    E-Print Network [OSTI]

    Choi, Dae H.

    2010-01-16

    DETECTION IN A SERIAL MULTI-HOP WIRELESS SENSOR NETWORK A Thesis by DAE HYUN CHOI Submitted to the O?ce of Graduate Studies of Texas A&M University in partial fulflllment of the requirements for the degree of MASTER OF SCIENCE August 2008 Major Subject...: Electrical Engineering PERFORMANCE ANALYSIS USING SEQUENTIAL DETECTION IN A SERIAL MULTI-HOP WIRELESS SENSOR NETWORK A Thesis by DAE HYUN CHOI Submitted to the O?ce of Graduate Studies of Texas A&M University in partial fulflllment of the requirements...

  19. Energy-Efficient Task Assignment Framework for Wireless Sensor Networks

    E-Print Network [OSTI]

    Heemin Park; Mani B. Srivastava

    2003-01-01

    and M.B. Srivastava, Energy- Aware Wireless Microsensorin wireless communications and spending more energy. EnergyAn Energy Ef?cient Fair Scheduling Policy for Wireless

  20. Efficient Broadcast in Wireless Ad Hoc and Sensor Networks with a Realistic Physical Layer

    E-Print Network [OSTI]

    Garcia-Luna-Aceves, J.J.

    2008-01-01

    T. H. Meng. Minimum energy mobile wireless networks. IEEE J.minimum-energy multicast tree construction in wireless adenergy-efficient broadcast and multicast trees in wireless

  1. 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...

  2. 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

  3. Context-aware computing for wireless networks

    E-Print Network [OSTI]

    Ergüt, Salih

    2010-01-01

    Packet Delay in Wireless Networks 2 Client Side Active QueueCellular and Sensor Networks Wireless Positioning Overviewin Mobile, Ad Hoc and Wireless Networks, pages 1–10, 2006. [

  4. 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)

  5. Enabling rich applications and reliable data collection in embedded wireless networks with low-footprint devices

    E-Print Network [OSTI]

    Mukhopadhyay, Shoubhik

    2009-01-01

    Data Reliability in Wireless Sensor Networks . . . . . . .in Wireless Sensor Networks . . . . . . . . . . . . 3.2.1Network of enhanced wireless LAN with additional processing

  6. 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

  7. 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

  8. Geo-Logical Routing in Wireless Sensor Networks* Dulanjalie C. Dhanapala and Anura P. Jayasumana

    E-Print Network [OSTI]

    Jayasumana, Anura P.

    Geo-Logical Routing in Wireless Sensor Networks* Dulanjalie C. Dhanapala and Anura P. Jayasumana Abstract-- Geo-Logical Routing (GLR) is a novel technique that combines the advantages of geographic. In logical domain, a node is characterized by a VC vector consisting of minimum number of hops to a set

  9. A MAC-aware Energy Efficient Reliable Transport Protocol for Wireless Sensor Networks

    E-Print Network [OSTI]

    Sahoo, Anirudha

    A MAC-aware Energy Efficient Reliable Transport Protocol for Wireless Sensor Networks Sandip Dalvi in WSN such as battery power and memory. In this paper, we propose a transport protocol which provides based on their residual energies and average MAC layer data rate. The event rate distribution happens

  10. 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

  11. Prototyping an Energy Harvesting Wireless Sensor Network Application Using HarvWSNet

    E-Print Network [OSTI]

    Boyer, Edmond

    Prototyping an Energy Harvesting Wireless Sensor Network Application Using HarvWSNet Florian of a simulation-based approach for the ar- chitecture exploration and prototyping of severely energy constrained of service to the instantaneous state of the energy harvesting module. The final goal is to propose

  12. EM-MAC: A Dynamic Multichannel Energy-Efficient MAC Protocol for Wireless Sensor Networks

    E-Print Network [OSTI]

    Shihada, Basem

    EM-MAC: A Dynamic Multichannel Energy-Efficient MAC Protocol for Wireless Sensor Networks Lei Tang, including energy-efficient operation and robust support for varying traffic loads, in spite of effects control channel. EM-MAC achieves high energy efficiency by enabling a sender to predict the receiver

  13. 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

  14. FireWatch: G.I.S.-assisted Wireless Sensor Networks for Forest Fires

    E-Print Network [OSTI]

    Shahabi, Cyrus

    FireWatch: G.I.S.-assisted Wireless Sensor Networks for Forest Fires Panayiotis G. Andreou, George and camera-based systems, are currently the predominant methods for detecting forest fires. Our study has-based approaches, FireWatch is able to detect forest fires more accurately and forecast the forest fire danger more

  15. Energy Efficient Target Tracking in Wireless Sensor Networks: Sleep Scheduling, Particle Filtering, and Constrained Flooding

    E-Print Network [OSTI]

    Ravindran, Binoy

    , and Constrained Flooding Bo Jiang Dissertation submitted to the Faculty of the Virginia Polytechnic Institute, Sleep Scheduling, Particle Filters, Constrained Flooding Copyright 2010, Bo Jiang #12;Energy Efficient Flooding Bo Jiang (ABSTRACT) #12;Energy efficiency is a critical feature of wireless sensor networks (WSNs

  16. IEEE 1451 standard and wireless sensor networks: An over view of fault tolerant algorithms

    E-Print Network [OSTI]

    227 IEEE 1451 standard and wireless sensor networks: An over view of fault tolerant algorithms Shubha Kher Senior member IEEE, Jinran Chen and Arun K Somani, Fellow IEEE Dependable Computing Lab, Iowa state University, Ames, IA 50011 tshubhajrchen,arun @,iastate. edu Abstract The IEEE 1451 standards

  17. Energy Efficient Routing Protocol for Wireless Sensor Networks with Ultra Low Duty Cycle

    E-Print Network [OSTI]

    Bahk, Saewoong

    Energy Efficient Routing Protocol for Wireless Sensor Networks with Ultra Low Duty Cycle Wooguil of high energy consumption mainly caused by the clock drift in ultra low duty cycled environments because most of them are designed without considering ultra low duty cycled environments. To achieve

  18. Energy-Efficient Transmission of Wavelet-Based Images in Wireless Sensor Networks

    E-Print Network [OSTI]

    Boyer, Edmond

    according to their battery's state-of-charge. Such an image transmission approach provides a graceful tradeEnergy-Efficient Transmission of Wavelet-Based Images in Wireless Sensor Networks Vincent Lecuire.lastname}@cran.uhp-nancy.fr Abstract In this paper, we propose a self-adaptive image transmission scheme driven by energy efficiency

  19. Design and Analysis of Micro-Solar Power Systems for Wireless Sensor Networks

    E-Print Network [OSTI]

    California at Berkeley, University of

    Design and Analysis of Micro-Solar Power Systems for Wireless Sensor Networks Jaein Jeong, Xiaofan and the power they obtain from their environment. Several micro-solar powered designs have been developed a taxonomy of the micro-solar design space identifying key components, design choices, interactions

  20. Energy Efficient Joint Scheduling and Power Control for Wireless Sensor Networks

    E-Print Network [OSTI]

    Krishnamachari, Bhaskar

    Energy Efficient Joint Scheduling and Power Control for Wireless Sensor Networks Gang Lu, CA 90089 { ganglu, bkrishna }@usc.edu Abstract-- We investigate the problem of energy efficiency and converges rapidly to the setting of which achieves energy efficiency while guaranteeing data delivery. I

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

    E-Print Network [OSTI]

    LBNL-6253E Wireless Sensor Network for Improving the Energy Efficiency of Data Centers Rod Mahdavi for Improving the Energy Efficiency of Data Centers Page i Disclaimer This document of Data Centers Page ii Table of Contents Page I. Executive Summary

  2. A Self-Powered Adaptive Wireless Sensor Network for Wastewater Treatment Plants Christopher M. Twigg,

    E-Print Network [OSTI]

    Chen, Yu

    A Self-Powered Adaptive Wireless Sensor Network for Wastewater Treatment Plants Yu Chen*, Christopher M. Twigg, Omowunmi A. Sadik, § Shiqiong Tong Dept. of Electrical and Computer Engineering of electricity continues to grow and the quality requirements of processed water tightens. However

  3. Energy-efficient Itinerary Planning for Mobile Agents in Wireless Sensor Networks

    E-Print Network [OSTI]

    Chen, Min

    Energy-efficient Itinerary Planning for Mobile Agents in Wireless Sensor Networks Min Chen, Victor. of British Columbia, V6T 1Z4, Canada (minchen,vleung@ece.ubc.ca) Dept. of Electrical & Computer Engineering National University, Seoul, 151-744, Korea (tkkwon@snu.ac.kr) § Dept. of Computer Science, California State

  4. ENERGY-EFFICIENT GEOGRAPHIC ROUTING IN ENVIRONMENTALLY POWERED WIRELESS SENSOR NETWORKS

    E-Print Network [OSTI]

    Hou, Y. Thomas

    ENERGY-EFFICIENT GEOGRAPHIC ROUTING IN ENVIRONMENTALLY POWERED WIRELESS SENSOR NETWORKS Kai Zengt- efficient routing protocols are requisite for the WSN appli- cations. In this paper, we study energy-efficient efficient than the corresponding residual energy based protocols without considering the property

  5. Modulation-Aware Energy Balancing in Hierarchical Wireless Sensor Networks1

    E-Print Network [OSTI]

    Pedram, Massoud

    Modulation-Aware Energy Balancing in Hierarchical Wireless Sensor Networks1 Maryam Soltan, Inkwon becoming critical design concerns, a significant amount of research has focused on energy-aware design physical layer characteristics at the system deployment stage and analyzing the effects on spatial energy

  6. Load-Balanced Routing Scheme for Energy-Efficient Wireless Sensor Networks

    E-Print Network [OSTI]

    Boutaba, Raouf

    Load-Balanced Routing Scheme for Energy-Efficient Wireless Sensor Networks Fatma Bouabdallah, Nizar. In this paper, we investigate the potential energy conservation achieved by balancing the traffic throughout, load balancing, performance analysis. I. INTRODUCTION In order to minimize the energy consumption

  7. Topology-Driven Secure Initialization in Wireless Sensor Networks: A Tool-Assisted Approach

    E-Print Network [OSTI]

    Manulis, Mark

    protocols and applications in the area of wireless sensor networks (WSN). We introduce a general framework nodes that come without any pre-installed operating system. TOPKEY is currently tailored to static WSN topologies: it supports topology design and deploys topology-driven key generation for a range of WSN

  8. 26th INTERNATIONAL CONGRESS OF THE AERONAUTICAL SCIENCES SECURITY OF WIRELESS SENSOR NETWORK ENABLED

    E-Print Network [OSTI]

    Poovendran, Radha

    the condition of aircraft engines, structures, gear boxes, and so on [8]. Wireless sensor network (WSN), i the grow- ing prospects of a onboard WSN. As noted in [10], the RFID system can be considered to be a WSN must be addressed. WSN and active RFID system have vulnera- bilities that can be exploited

  9. 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

  10. Simulating BDI-based Wireless Sensor Networks Alexis Morris, Paolo Giorgini, Sameh Abdel-Naby

    E-Print Network [OSTI]

    in constructing complex distributed systems. Wireless Sensor Networks (WSN) represent such systems, and may techniques have been recently applied to WSN's; however, due to hardware limitations nodes (agents simulator for testing interactions in autonomous WSN's. The belief, desire, intention (BDI) agent model

  11. Market-based computational task assignment within autonomous wireless sensor networks

    E-Print Network [OSTI]

    Lynch, Jerome P.

    Market-based computational task assignment within autonomous wireless sensor networks Andrew T. In this study, a Pareto-optimal market-based method is developed in order to autonomously distribute various algorithms (Fast Fourier Transform, etc.). These embedded data processing methods are relatively power

  12. Mitigating DoS Attacks against Broadcast Authentication in Wireless Sensor Networks

    E-Print Network [OSTI]

    Ning, Peng

    authentication in wireless sensor networks: digital signatures and µTESLA-based techniques. However, both signature-based and µTESLA-based broadcast authentication are vulnerable to Denial of Services (DoS) attacks verifications (in case of signature-based broadcast authentication) or packet forwarding (in case of µTESLA

  13. Adaptive Data Collection Strategies for Lifetime-Constrained Wireless Sensor Networks

    E-Print Network [OSTI]

    Tang, Xueyan

    significantly improve the accuracy of data collected by the base station. Index Terms--data collection, energy to the energy constraint [7]. However, this approach is not effective. Consider, for example, a series of solar1 Adaptive Data Collection Strategies for Lifetime-Constrained Wireless Sensor Networks Xueyan Tang

  14. Design and Analysis of Micro-Solar Power Systems for Wireless Sensor Networks

    E-Print Network [OSTI]

    California at Berkeley, University of

    Design and Analysis of Micro-Solar Power Systems for Wireless Sensor Networks Jaein Jeong Xiaofan or to redistribute to lists, requires prior specific permission. #12;Design and Analysis of Micro-Solar Power Systems. Several micro-solar powered designs have been developed to address this important problem but little

  15. Green-Frag: Energy-Efficient Frame Fragmentation Scheme for Wireless Sensor Networks

    E-Print Network [OSTI]

    Shihada, Basem

    Green-Frag: Energy-Efficient Frame Fragmentation Scheme for Wireless Sensor Networks Anas that frame fragmenta- tion also helps to reduce energy consumption. In this paper we propose Green-Frag, a new energy-efficient protocol based on efficient frame fragmentation technique. Green-Frag allows

  16. Opal: A Multi-radio Platform for High Throughput Wireless Sensor Networks

    E-Print Network [OSTI]

    Langendoen, Koen

    1 Opal: A Multi-radio Platform for High Throughput Wireless Sensor Networks Raja Jurdak, Kevin requirements. This letter presents the design of the versatile Opal platform that couples a Cortex M3 MCU sacrificing communication range. We present experiments that evaluate Opal's throughput and range when

  17. Minimizing Energy Consumption in IR-UWB Based Wireless Sensor Networks

    E-Print Network [OSTI]

    Heinzelman, Wendi

    Minimizing Energy Consumption in IR-UWB Based Wireless Sensor Networks Tianqi Wang, Wendi communications systems, where transmit power can be flexibly adjusted to minimize the energy consumption [3] [4 Heinzelman and Alireza Seyedi Department of Electrical and Computer Engineering, University of Rochester

  18. ENERGY-AWARE DATA COMPRESSION FOR WIRELESS SENSOR NETWORKS Sebastian Puthenpurayil, Ruirui Gu, Shuvra S Bhattacharyya

    E-Print Network [OSTI]

    Bhattacharyya, Shuvra S.

    ENERGY-AWARE DATA COMPRESSION FOR WIRELESS SENSOR NETWORKS Sebastian Puthenpurayil, Ruirui Gu, transmission, and reception. The major source of energy consumption is in the transceiver portions and some, Shuvra S Bhattacharyya Department of Electrical and Computer Engineering, and Institute for Advanced

  19. Low-Cost, Robust, Threat-aware Wireless Sensor Network for Assuring the Nation's Energy Infrastructure

    SciTech Connect (OSTI)

    Carlos H. Rentel

    2007-03-31

    The objective of this project was to create a low-cost, robust anticipatory wireless sensor network (A-WSN) to ensure the security and reliability of the United States energy infrastructure. This document highlights Eaton Corporation's plan to bring these technologies to market.

  20. Fear: A Fuzzy-based Energy-aware Routing Protocol for Wireless Sensor Networks

    E-Print Network [OSTI]

    Ahvar, Ehsan; Piran, Mohammad Jalil

    2011-01-01

    Many energy-aware routing protocols have been proposed for wireless sensor networks. Most of them are only energy savers and do not take care about energy balancing. The energy saver protocols try to decrease the energy consumption of the network as a whole; however the energy manager protocols balance the energy consumption in the network to avoid network partitioning. This means that energy saver protocols are not necessarily energy balancing and vice versa. However, the lifetime of wireless sensor network is strictly depending on energy consumption; therefore, energy management is an essential task to be considered. This paper proposes an energy aware routing protocol, named FEAR, which considers energy balancing and energy saving. It finds a fair trade-off between energy balancing and energy saving by fuzzy set concept. FEAR routing protocol is simulated and evaluated by Glomosim simulator.

  1. Energy-Efficient Task Assignment Framework for Wireless Sensor Networks

    E-Print Network [OSTI]

    Heemin Park; Mani B. Srivastava

    2003-01-01

    and M.B. Srivastava, Energy- Aware Wireless MicrosensorAn Energy Ef?cient Fair Scheduling Policy for Wirelessin wireless communications and spending more energy. Energy

  2. Adjacency Matrix Based Energy Efficient Scheduling using S-MAC Protocol in Wireless Sensor Networks

    E-Print Network [OSTI]

    Singh, Shweta

    2012-01-01

    Communication is the main motive in any Networks whether it is Wireless Sensor Network, Ad-Hoc networks, Mobile Networks, Wired Networks, Local Area Network, Metropolitan Area Network, Wireless Area Network etc, hence it must be energy efficient. The main parameters for energy efficient communication are maximizing network lifetime, saving energy at the different nodes, sending the packets in minimum time delay, higher throughput etc. This paper focuses mainly on the energy efficient communication with the help of Adjacency Matrix in the Wireless Sensor Networks. The energy efficient scheduling can be done by putting the idle node in to sleep node so energy at the idle node can be saved. The proposed model in this paper first forms the adjacency matrix and broadcasts the information about the total number of existing nodes with depths to the other nodes in the same cluster from controller node. When every node receives the node information about the other nodes for same cluster they communicate based on the s...

  3. 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

  4. LMEEC: Layered Multi-Hop Energy Efficient Cluster-based Routing Protocol for Wireless Sensor Networks

    E-Print Network [OSTI]

    Khelifi, Manel

    2012-01-01

    In this paper, we propose LMEEC, a cluster-based rout- ing protocol with low energy consumption for wireless sensor networks. Our protocol is based on a strategy which aims to provide a more equitable exploitation of the selected nodes (cluster-heads) energy. Simulation results show the effective- ness of LMEEC in decreasing the energy consumption, and in prolonging the network lifetime, compared to LEACH.

  5. Comparative Investigation for Energy Consumption of Different Chipsets Based on Scheduling for Wireless Sensor Networks

    E-Print Network [OSTI]

    Monica,; 10.5121/ijcnc.2010.2511

    2010-01-01

    Rapid progress in microelectromechanical system (MEMS) and radio frequency (RF) design has enabled the development of low-power, inexpensive, and network-enabled microsensors. These sensor nodes are capable of capturing various physical information, such as temperature, pressure, motion of an object, etc as well as mapping such physical characteristics of the environment to quantitative measurements. A typical wireless sensor network (WSN) consists of hundreds to thousands of such sensor nodes linked by a wireless medium. In this paper, we present a comparative investigation of energy consumption for few commercially available chipsets such as TR1001, CC1000 and CC1010 based on different scheduling methods for two types of deployment strategies. We conducted our experiment within the OMNeT++ simulator.

  6. Management of Large-Scale Wireless Sensor Networks Utilizing Multi-Parent Recursive Area Hierarchies

    SciTech Connect (OSTI)

    Cree, Johnathan V.; Delgado-Frias, Jose

    2013-04-19

    Autonomously configuring and self-healing a largescale wireless sensor network requires a light-weight maintenance protocol that is scalable. Further, in a battery powered wireless sensor network duty-cycling a node’s radio can reduce the power consumption of a device and extend the lifetime of a network. With duty-cycled nodes the power consumption of a node’s radio depends on the amount of communication is must perform and by reducing the communication the power consumption can also be reduced. Multi-parent hierarchies can be used to reduce the communication cost when constructing a recursive area clustering hierarchy when compared to singleparent solutions that utilize inefficient communication methods such as flooding and information propagation via single-hop broadcasts. The multi-parent hierarchies remain scalable and provides a level of redundancy for the hierarchy.

  7. 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

  8. A Wireless Sensor for Tool Temperature Measurement and its Integration within a Manufacturing System

    E-Print Network [OSTI]

    Wright, Paul K; Dornfeld, David; Hillaire, R. G; Ota, Nathan K

    2006-01-01

    G. , and Ota, N. , K. , “A Wireless Sensor for Tool pp.125-regenerative transceiver for wireless sensor networks", IEEEJ. , Culler, D. , 2002. Mica: A Wireless Platform for Deeply

  9. Intelligent Control via Wireless Sensor Networks for Advanced Coal Combustion Systems

    SciTech Connect (OSTI)

    Aman Behal; Sunil Kumar; Goodarz Ahmadi

    2007-08-05

    Numerical Modeling of Solid Gas Flow, System Identification for purposes of modeling and control, and Wireless Sensor and Actor Network design were pursued as part of this project. Time series input-output data was obtained from NETL's Morgantown CFB facility courtesy of Dr. Lawrence Shadle. It was run through a nonlinear kernel estimator and nonparametric models were obtained for the system. Linear and first-order nonlinear kernels were then utilized to obtain a state-space description of the system. Neural networks were trained that performed better at capturing the plant dynamics. It is possible to use these networks to find a plant model and the inversion of this model can be used to control the system. These models allow one to compare with physics based models whose parameters can then be determined by comparing them against the available data based model. On a parallel track, Dr. Kumar designed an energy-efficient and reliable transport protocol for wireless sensor and actor networks, where the sensors could be different types of wireless sensors used in CFB based coal combustion systems and actors are more powerful wireless nodes to set up a communication network while avoiding the data congestion. Dr. Ahmadi's group studied gas solid flow in a duct. It was seen that particle concentration clearly shows a preferential distribution. The particles strongly interact with the turbulence eddies and are concentrated in narrow bands that are evolving with time. It is believed that observed preferential concentration is due to the fact that these particles are flung out of eddies by centrifugal force.

  10. Trailing Mobile Sinks: A Proactive Data Reporting Protocol for Wireless Sensor Networks Xinxin Liu, Han Zhao, Xin Yang

    E-Print Network [OSTI]

    Li, Xiaolin "Andy"

    battery life, energy saving is of paramount importance in the design of sensor network protocols. Recent transmission path is greatly shortened and energy consumption for relaying is reduced. However, data gatheringTrailing Mobile Sinks: A Proactive Data Reporting Protocol for Wireless Sensor Networks Xinxin Liu

  11. 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

  12. Two-Way Beacon Scheduling in ZigBee Tree-Based Wireless Sensor Networks , Meng-Shiuan Pan

    E-Print Network [OSTI]

    Tseng, Yu-Chee

    Two-Way Beacon Scheduling in ZigBee Tree-Based Wireless Sensor Networks Lun-Wu Yeh , Meng-way beacon scheduling prob- lem for ZigBee tree-based networks. We propose a schedul- ing algorithm that can sce- nario. The network contains one sink (ZigBee coordina- tor), some full-function devices (ZigBee

  13. Centralized route recovery based on multi-hop wakeup time estimation for wireless sensor networks with ultra low duty cycles

    E-Print Network [OSTI]

    Bahk, Saewoong

    with ultra low duty cycles Wooguil Pak, Saewoong Bahk Department of EECS & INMC, Seoul National University Keywords: Wireless sensor network Routing protocol Ultra low duty cycle Network lifetime Multi-hop wakeup time estimation to maximize the network lifetime of WSNs under ultra low duty cycles. It does not use

  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. The NTP Experimental Platform for Heterogeneous Wireless Sensor Networks

    E-Print Network [OSTI]

    Tseng, Yu-Chee

    of three different sensor platforms: the III Zigbee Advanced Platform, the ITRI Sensor Platform platform, and the III ZigBee Advanced Platform [3], and can easily incorporate sensor systems developed protocols, such as Zigbee and IEEE 802.15.4, and to interoperate under common applications. More importantly

  17. A Coverage Inference Protocol for Wireless Sensor Networks

    E-Print Network [OSTI]

    Fang, Yuguang "Michael"

    destruction attacks on sensor nodes, unpredictable node movement by physical means like wind, and so on. It is of the connected coverage based on residual energy of sensor nodes. Index Terms--Connected coverage, self. Possible causes leading to coverage holes include energy depletion of sensor nodes, intended attacks

  18. INTRODUCTION A wireless sensor network is a well-known

    E-Print Network [OSTI]

    Savazzi, Stefano

    the oil companies to increase the investments in seismic exploration of new reservoirs and in new is now regarded by oil com- panies as a natural evolution for high-resolution seismic explorations-resolution cable-free seismic explorations. Technical limitations of off-the-shelf wireless technologies force

  19. CodeBlue: Wireless Sensor Networks for Emergency Medical Care

    E-Print Network [OSTI]

    Malan, David J.

    microcontroller, 4 KB RAM, 128 KB ROM · FSK radio up to 19.2 Kbps, range > 100m · 15-20mA active (5-6 days), 15µ-lead EKG Wireless Ad-Hoc Routing for Critical Care Path to nearest EMT Prioritized path Critical patient · Dynamic route discovery · Prioritize path for critical patients · Security · Adaptive energy conservation

  20. VitalDust: Wireless Sensor Networks for Emergency Medical Care

    E-Print Network [OSTI]

    Malan, David J.

    radio up to 19.2 Kbps, range > 100m · 15-20mA active (5-6 days), 15µA sleeping (21 years, but limited Service Event Notification Wireless Ad-Hoc Routing for Critical Care Path to nearest EMT Prioritized path Critical patient · Dynamic route discovery · Prioritize path for critical patients · Security · Adaptive

  1. Adaptive Time Slotted Channel Hopping for Wireless Sensor Networks

    E-Print Network [OSTI]

    Roussos, George

    -located wireless systems utilising the same spectral space. Channel hopping technique was proposed to mitigate the problem via periodic change of the operating frequency, and has been adopted in the form of time slotted-TSCH), an enhanced version of the TSCH aided by blacklisting technique. Complete design and implementation specifics

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

    E-Print Network [OSTI]

    Huang, Yi

    2010-01-01

    for sensors that consume more energy. But unfortunately, theor averaging algorithm) consume less energy than the digitaldigital transmissions consume less energy than Achieved MSE

  3. Data Analysis and Query Processing in Wireless Sensor Networks

    E-Print Network [OSTI]

    Chatzimilioudis, Georgios

    2010-01-01

    sensor nodes that collect and Figure 1.2: Energy harvesting for battery-less nodes report data on temperature, humidity, wind

  4. 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

  5. A Distributed Emergency Navigation Algorithm for Wireless Sensor Networks

    E-Print Network [OSTI]

    Tseng, Yu-Chee

    people to quickly escape from a hazardous area. Our design allows multiple exits and multiple emergency emergency events are detected, our protocol can quickly identify hazardous areas and sensors can establish, our protocol can quickly separate hazardous areas from safe areas and sensors can establish escape

  6. A New Deterministic Data Aggregation Method For Wireless Sensor Networks

    E-Print Network [OSTI]

    Akcan, Huseyin

    -resistor and infrared thermopile sensors can join forces to infer other parameters such as cloud cover, altitude or wind on snapshots, or may be continuous. The data collected by the sensors is usually highly redundant, and thus one a much smaller but representative sample which can then be processed by a centralized more powerful unit

  7. Towards Perpetual Sensor Networks via Deploying Multiple Mobile Wireless Chargers

    E-Print Network [OSTI]

    Liang, Weifa

    algorithm for it, assuming that sensor energy consumption rates do not change over time. Otherwise, we been many energy saving approaches developed in the past decade to minimize sensor energy consumptions their surroundings such as solar energy, vibration energy, wind en- ergy, etc [11]. However, the temporally

  8. Cooperative Wireless Network Behnaam Aazhang

    E-Print Network [OSTI]

    Aazhang, Behnaam

    Cooperative Wireless Network Behnaam Aazhang #12;Cooperative Wireless Network Behnaam Aazhang Sabharwal #12;Wireless Network · Infrastructure · Ad hoc · Mesh network #12;Engineering Wireless Network · Wireless links ­ Per link design #12;Single Wireless Link · Additive Gaussian Channels ­ Achievable rate

  9. Performance of wireless sensor networks under random node failures

    SciTech Connect (OSTI)

    Bradonjic, Milan [Los Alamos National Laboratory; Hagberg, Aric [Los Alamos National Laboratory; Feng, Pan [Los Alamos National Laboratory

    2011-01-28

    Networks are essential to the function of a modern society and the consequence of damages to a network can be large. Assessing network performance of a damaged network is an important step in network recovery and network design. Connectivity, distance between nodes, and alternative routes are some of the key indicators to network performance. In this paper, random geometric graph (RGG) is used with two types of node failure, uniform failure and localized failure. Since the network performance are multi-facet and assessment can be time constrained, we introduce four measures, which can be computed in polynomial time, to estimate performance of damaged RGG. Simulation experiments are conducted to investigate the deterioration of networks through a period of time. With the empirical results, the performance measures are analyzed and compared to provide understanding of different failure scenarios in a RGG.

  10. Applications of Industrial Wireless Sensor Milan Erdelj

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    applications is vital for the production in all the branches of industry. 3. Process automation. The last group1 Applications of Industrial Wireless Sensor Networks Milan Erdelj FUN Research Group, INRIA Lille manuscript, published in "Industrial Wireless Sensor Networks: Applications, Protocols, and Standards CRC

  11. 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...

  12. Delay Optimal Event Detection on Ad Hoc Wireless Sensor Networks

    E-Print Network [OSTI]

    Kumar, Anurag

    , Bangalore, INDIA email: kprem@ece.iisc.ernet.in, prasanthi.m@gmail.com, anurag@ece.iisc.ernet.in We consider causal order. In this case, the decision statistic depends on the network delays as well, whereas in the network­oblivious case, the decision statistic does not depend on the network delays. This yields

  13. Time-Critical Data Delivery in Wireless Sensor Networks

    E-Print Network [OSTI]

    Roedig, Utz

    early, the network may spend these resources to improve transmission reliability or energy consumption to conserve energy and not to support timely data transmission. This paper shows how WSNs can be dimensioned and control. A network wide transmission schedule is determined before network #12;deployment, ensuring

  14. 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

  15. 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

  16. Wireless Magnetic Sensor Applications in Transportation Infrastructure

    E-Print Network [OSTI]

    Sanchez, Rene Omar

    2012-01-01

    of wireless magnetic sensors in Intelligent Trans- portationof wireless magnetic sensors in Intelligent Transportationmagnetic sensors for different Intelligent Transportation

  17. Wireless Sensor Networks for Data Centers | Department of Energy

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirley Ann Jackson About1996HowFOAShowingFuelWeatherize » AirareAbout KeyofWireless ChargingProducts

  18. 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

  19. 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

  20. SPAPI: A Security and Protection Architecture for Physical Infrastructures and Its Deployment Strategy Using Wireless Sensor Networks

    E-Print Network [OSTI]

    Strategy Using Wireless Sensor Networks Hafiz Abdur Rahman Department of ECE University of British Columbia Vancouver, Canada rahmanha@ece.ubc.ca Konstantin Beznosov Department of ECE University of British Columbia, electricity, telecommunication, gas and petroleum distribution networks; interstate roads, etc. Until recently

  1. 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.

  2. 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

  3. Leakage-Aware Energy Synchronization for Wireless Sensor Networks

    E-Print Network [OSTI]

    Zhang, Zhi-Li

    beneficial, because energy storage units (e.g., batteries or capacitors) are limited in capacity and leakage batteries), and hazardous or inaccessible environments preclude manual battery replace- ment. Without renewable energy resources, a sensor node can sustain only a few hours at 100% duty cycle. Clearly, existing

  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. Channel-aware Distributed Classification in Wireless Sensor Networks

    E-Print Network [OSTI]

    Valenti, Matthew C.

    University, Morgantown, WV, USA 2011 SPIE Defense, Security, and Sensing Signal Processing, Sensor Fusion, and Problem Statement 2 System Model of Our Distributed Classification WSN 3 Fusion Rule Derivation 4 Distributed Classification WSN 3 Fusion Rule Derivation 4 Numerical Analysis 5 Conclusions M. Fanaei et al

  6. Distributed and Efficient Classifiers for Wireless Audio-Sensor Networks

    E-Print Network [OSTI]

    Nascimento, Mario A.

    - tion, Data Fusion, Decision Fusion. I. INTRODUCTION Vehicle tracking on acoustic data is based. These measurements can then be exploited in a number of ways. Two popular approaches, [2], are data fusion (DAF) and decision fusion (DEF). Implementing decision or data fusion requires sensors to collaborate efficiently

  7. Experimental Measurements of the Power Consumption for Wireless Sensor Networks

    E-Print Network [OSTI]

    Alonso, Javier

    consumption. Therefore, in order to give some recommendations to de- velopers and optimize the energy spent of the energy consumption should be performed for the most common operations in a sensor node. This knowledge common operations: (i) CPU change state and (ii) data transfer radio. CPU change state. The consumption

  8. Self-Optimized Collaborative Data Communication in Wireless Sensor Networks

    E-Print Network [OSTI]

    Beigl, Michael

    on the collaboration per- formance, as confirmed experimentally. The new algorithm gains higher level of energy storage 1. INTRODUCTION In spite of the limitations in the sensing, processing, com- municating and energy storage capabilities of the sensor nodes, WSNs are developing in our everyday life to en- hance

  9. Chronus: A Spatiotemporal Macroprogramming Language for Autonomic Wireless Sensor Networks

    E-Print Network [OSTI]

    Suzuki, Jun

    spatiotemporal dimensions, such as oil spills, chemical/gas dispersions and toxic contaminant spreads scatter along spatiotemporal dimensions, such as oil spills, chemical/gas dispersions and toxic contaminant spreads. Each WSN appli- cation is expected to autonomously detect these events and collect sensor

  10. Robust Maximum Lifetime Routing and Energy Allocation in Wireless Sensor Networks

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

    Paschalidis, Ioannis Ch.; Wu, Ruomin

    2012-01-01

    We consider the maximum lifetime routing problem in wireless sensor networks in two settings: (a) when nodes’ initial energy is given and (b) when it is subject to optimization. The optimal solution and objective value provide optimal flows and the corresponding predicted lifetime, respectively. We stipulate that there is uncertainty in various network parameters (available energy and energy depletion rates). In setting (a) we show that for specific, yet typical, network topologies, the actual network lifetime will reach the predicted value with a probability that converges to zero as the number of nodes grows large. In setting (b) the samemore »result holds for all topologies. We develop a series of robust problem formulations, ranging from pessimistic to optimistic. A set of parameters enable the tuning of the conservatism of the formulation to obtain network flows with a desirably high probability that the corresponding lifetime prediction is achieved. We establish a number of properties for the robust network flows and energy allocations and provide numerical results to highlight the tradeoff between predicted lifetime and the probability achieved. Further, we analyze an interesting limiting regime of massively deployed sensor networks and essentially solve a continuous version of the problem.« less

  11. Optimized Node Selection for Compressive Sleeping Wireless Sensor Networks

    E-Print Network [OSTI]

    Chen, Wei; Wassell, Ian J.

    2015-02-05

    of the data is exploited. The asymmetric characteristics of WSNs, which typically comprise a smart fusion center (FC) with high power and computational capability and many SNs with limited energy storage and computing capability, motivates the usage of CS [9... -selection algorithm to select a subset of camera sensors for estimating the location of a target while minimizing the energy cost [5]; Fasolo et al. provide different Wei Chen is with the State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong...

  12. Sidewinder: A Predictive Data Forwarding Protocol for Mobile Wireless Sensor Networks

    E-Print Network [OSTI]

    Zhou, Gang

    in packet delivery ratio, time delay, and energy efficiency. I. INTRODUCTION While most existing wireless attached wireless sensor devices to Micro Air Vehicles [1], bikes [2], vehicles [3] [4], and animals [5] [6 for such in-situ data collection, in which sensors placed on buoys float with water currents. Hence, tracking

  13. POS: A Practical Order Statistics Service for Wireless Sensor Networks

    E-Print Network [OSTI]

    Cox, Landon

    can be used to compute statistics such as max, min, and average accurately and energy order statistics cannot deliver both good accuracy and energy efficiency. This is unfortunate because the design and implementation of POS, an in- network service that computes accurate order statistics energy

  14. An Open and Integrated Management Platform for Wireless Sensor Networks

    E-Print Network [OSTI]

    Varvarigo, Emmanouel "Manos"

    such as heterogeneity, limited bandwidth and energy constraints, WSN management and monitoring architectures need to and management platform, and OpenRSM, an open source integrated remote systems and network management platform. The proposed system architecture can support several levels of integration (infrastructure management

  15. Maintaining Trajectory Privacy in Mobile Wireless Sensor Networks

    E-Print Network [OSTI]

    Yanikoglu, Berrin

    properties. The users of this network are oil companies with their own mobile collectors. Since packets and read the contexts of them. The mote-level assumption is fair enough since otherwise analytically no defense system can maintain the privacy of mobile sink node. With this assumption, attacks

  16. 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

  17. Wireless Networks wireless ad-hoc and mesh networks

    E-Print Network [OSTI]

    Biagioni, Edoardo S.

    instead of radio waves Wireless Sensor Networks the Internet of Things, IoT #12;wireless mesh networks radio on and receiving a packet requires the most but even leaving on the radio still uses energy keep the radio off as much as possible, limit the number of packets sent hard to know when to turn on the radio

  18. Efficient multi-resolution data dissemination in wireless sensor networks 

    E-Print Network [OSTI]

    Chen, Jian

    2005-11-01

    on where to store the generated data, data gath- ering techniques are divided into three categories: local-storage, external-storage and in-network data-centric storage [39]. Early local-storage based methods such as Di- rected Diffusion (DD) [25...], Declarative Routing Protocol [10] are not efficient in that queries are sent from sinks using flooding and, in consequence, sinks have to keep broadcasting queries periodically to maintain paths for data retrieval from data sources. Data-centric storage...

  19. A congestion control scheme for wireless sensor networks 

    E-Print Network [OSTI]

    Xiong, Yunli

    2005-08-29

    - gestion. For wired networks like INTERNET, there are mixed links with di erent bandwidths. The node with the lowest bandwidth along a path from the source to the destination is called the bottleneck. Usually, congestion occurs in the bottleneck since..., packet loss cannot be used to detect con- gestion. In WSN, corruption and collision will cause packets to be dropped. Besides, node failure due to energy depletion could also result in packet loss. Combining information on packet loss and latency can...

  20. Secure and Energy-Efficient Data Aggregation in Wireless Sensor Networks

    E-Print Network [OSTI]

    Sen, Jaydip

    2012-01-01

    Data aggregation in intermediate nodes (called aggregator nodes) is an effective approach for optimizing consumption of scarce resources like bandwidth and energy in Wireless Sensor Networks (WSNs). However, in-network processing poses a problem for the privacy of the sensor data since individual data of sensor nodes need to be known to the aggregator node before the aggregation process can be carried out. In applications of WSNs, privacy-preserving data aggregation has become an important requirement due to sensitive nature of the sensor data. Researchers have proposed a number of protocols and schemes for this purpose. He et al. (INFOCOM 2007) have proposed a protocol - called CPDA - for carrying out additive data aggregation in a privacy-preserving manner for application in WSNs. The scheme has been quite popular and well-known. In spite of the popularity of this protocol, it has been found that the protocol is vulnerable to attack and it is also not energy-efficient. In this paper, we first present a brie...

  1. 1-4244-1455-5/07/$25.00 c 2007 IEEE Wireless Sensor Networks for Early Detection of Forest Fires

    E-Print Network [OSTI]

    Hefeeda, Mohammed

    1-4244-1455-5/07/$25.00 c 2007 IEEE Wireless Sensor Networks for Early Detection of Forest Fires fires. We first present the key aspects in modeling forest fires. We do this by ana- lyzing the Fire detection systems. The FWI System is one of the most comprehensive forest fire danger rating systems

  2. MAC Design for Supporting Ultra Low Duty Cycle in Wireless Sensor Networks1 *Wooguil PakO

    E-Print Network [OSTI]

    Bahk, Saewoong

    MAC Design for Supporting Ultra Low Duty Cycle in Wireless Sensor Networks1 *Wooguil PakO , *Hyuk.1%). Our proposed U-MAC (Ultra low duty cycle MAC) protocol targets achieving low energy consumption under. In this paper, we propose a new MAC algorithm called U-MAC (Ultra low duty cycle MAC) that works effectively

  3. An accelerator-based wireless sensor network processor in 130nm CMOS Mark Hempstead, Gu-Yeon Wei, David Brooks

    E-Print Network [OSTI]

    Hempstead, Mark

    , we propose an accelerator-based system architec- ture. Our design fully embraces the accelerator) System Block Diagram specifically to address event driven computation and long idle times that characterize wireless sensor network workloads. The system employs application specific hardware accelerators

  4. Time-Sensitive Utility-Based Routing in Duty-Cycle Wireless Sensor Networks with Unreliable Links

    E-Print Network [OSTI]

    Wu, Jie

    Time-Sensitive Utility-Based Routing in Duty-Cycle Wireless Sensor Networks with Unreliable Links}@ustc.edu.cn Abstract--Utility-based routing is a special routing approach, which takes the reliability and transmission costs into account at the same time. However, the existing utility-based routing algorithms have not yet

  5. Mobile Agents for Wireless Sensor Networks Faruk Bagci1, Julian Wolf1, Theo Ungerer1, and Nader Bagherzadeh2

    E-Print Network [OSTI]

    Ungerer, Theo

    connection between nodes enhances communication flexibility. Service development on memory and energy limitedMobile Agents for Wireless Sensor Networks Faruk Bagci1, Julian Wolf1, Theo Ungerer1, and Nader}@informatik.uni-augsburg.de 2Department of Electrical Engineering and Computer Science, University of California, Irvine, USA

  6. 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.

  7. Prolonging Sensor Network Lifetime Through Wireless Charging Yang Peng, Zi Li, Wensheng Zhang, and Daji Qiao

    E-Print Network [OSTI]

    Qiao, Daji

    technologies, the wire- less charging technology, together with more and more ma- ture and inexpensive mobile technology allows a mobile charger to transfer energy to sensor nodes wirelessly without requiring accurate The emerging wireless charging technology is a promis- ing alternative to address the power constraint problem

  8. iCalm: Wearable Sensor and Network Architecture for Wirelessly Communicating and Logging Autonomic Activity

    E-Print Network [OSTI]

    Dobson, Kelly

    Widespread use of affective sensing in healthcare applications has been limited due to several practical factors, such as lack of comfortable wearable sensors, lack of wireless standards, and lack of low-power affordable ...

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

    E-Print Network [OSTI]

    Kam, Clement

    2010-01-01

    A Taxonomy of Energy Efficient Strategies 1.2.1 Data-DrivenSAN DIEGO Energy Efficient Strategies for Wireless SensorAn event driven energy saving strategy for battery operated

  10. Designing an Energy Efficient Framework for Data Gathering in Wireless Sensor Network

    E-Print Network [OSTI]

    Mukherjee, Subhabrata; Bhattacharyya, Abhishek; Naskar, Mrinal K; Mukherjee, Amitava

    2012-01-01

    Wireless sensor network (WSN) is a collection of nodes which can communicate with each other without any prior infrastructure along with the ability to collect data autonomously and effectively after being deployed in an ad-hoc fashion to monitor a given area. One major problem encountered in data gathering wireless systems is to obtain an optimal balance among the number of nodes deployed, energy efficiency and lifetime as energy of nodes cannot be replenished. In this paper we propose first a scheme to estimate the number of nodes to be deployed in a WSN for a predetermined lifetime so that total energy utilization and complete connectivity are ensured under all circumstances. This scheme also guarantees that during each data gathering cycle, every node dissipates the requisite amount of energy, which thus minimizes the number of nodes required to achieve the desired network lifetime. Second, this paper has proposed a framework to conduct data gathering in WSN. Extensive simulations have been carried out in...

  11. 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 ...

  12. 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...

  13. 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

  14. Sustainability of Self-Configuring Wireless Sensor Bozena Kaminska

    E-Print Network [OSTI]

    Gburzynski, Pawel

    and the network infrastructure, requires employing advanced techniques in various areas such as MEMS sensors [1Sustainability of Self-Configuring Wireless Sensor Networks Bozena Kaminska Simon Fraser University Department of Computing Science Edmonton, AB, CANADA pawel@cs.ualberta.ca Abstract-- Wireless Sensor Networks

  15. Wireless Magnetic Sensor Applications in Transportation Infrastructure

    E-Print Network [OSTI]

    Sanchez, Rene Omar

    2012-01-01

    2.2 Wireless Magnetic Sensors Vehicle Detection2.3 Vehicle Re-Identification Using Wireless MagneticPerformance iv 6 Wireless Magnetic Sensor Applications for

  16. An energy efficient RF transceiver for wireless microsensor networks

    E-Print Network [OSTI]

    Daly, Denis Clarke

    2005-01-01

    A wireless microsensor network consists of a group of sensor nodes that are deployed remotely and used to relay sensing data to the end-user. Due to their remote deployment, large scale wireless sensor networks require a ...

  17. Approved Module Information for EE3WSN, 2014/5 Module Title/Name: Wireless Sensor Networks Module Code: EE3WSN

    E-Print Network [OSTI]

    Neirotti, Juan Pablo

    Approved Module Information for EE3WSN, 2014/5 Module Title/Name: Wireless Sensor Networks Module Code: EE3WSN School: Engineering and Applied Science Module Type: Standard Module New Module? No Module

  18. The 18th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC'07) IMPLEMENTING BACKSCATTER RADIO FOR WIRELESS SENSOR NETWORKS

    E-Print Network [OSTI]

    (PIMRC'07) IMPLEMENTING BACKSCATTER RADIO FOR WIRELESS SENSOR NETWORKS Giovanni Vannucci Mitsubishi Electric Research Laboratories, Cambridge USA Aggelos Bletsas RadioCommunications Lab (RCL) Aristotle University of Thessaloniki, Greece Darren Leigh Mitsubishi Electric Research Laboratories, Cambridge USA

  19. Control over Wireless NetworksControl over Wireless Networks Karl Henrik Johansson

    E-Print Network [OSTI]

    Johansson, Karl Henrik

    Control over Wireless NetworksControl over Wireless Networks Karl Henrik Johansson School of Electrical Engineering Royal Institute of Technology Stockholm, Sweden 25th Benelux Meeting on Systems, 2006 Wireless control systemWireless control system Sensors Controllers Actuators A collection

  20. Wireless Network Esercitazioni

    E-Print Network [OSTI]

    Lo Cigno, Renato Antonio

    Wireless Network Esercitazioni Alessandro Villani avillani@science.unitn.it #12;Ethereal #12 wireless LAN (WLAN) Non č ancora realmente utilizzato Scaricabile all'indirizzo: http

  1. Disaster Recovery in Wireless Networks: A Homology-Based Algorithm

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Disaster Recovery in Wireless Networks: A Homology-Based Algorithm A. Vergne, I. Flint, L of wireless networks after a disaster. Considering a damaged wireless network, presenting coverage holes or cover problem. I. INTRODUCTION Wireless networks are present everywhere, must it be sensor networks

  2. Abstract--The inherent many-to-one flow of traffic in Wireless Sensor Networks produces a skewed distribution of energy

    E-Print Network [OSTI]

    Radha, Hayder

    approaches aimed at balancing the consumption of energy in wireless networks are based on a linear distribution of energy consumption rates leading to the early demise of those sensors that are critical) it puts forward a new understanding of sensor network lifetime based on statistical measures, mean

  3. Performance Control in Wireless Sensor Networks C. J. Sreenan, U. Roedig, J. Brown, C. A. Boano, A. Dunkels, Z. He, T. Voigt, V. Vassiliou, J. Sa Silva

    E-Print Network [OSTI]

    Roedig, Utz

    SAP AG Walldorf, Germany Abstract--Most of the currently deployed wireless sensor networks applications do not require performance control. The goal of the GINSENG project is sensor networks that meet scenarios within the GALP oil refinery where the system will be deployed and some initial technical insights

  4. Wireless energy transmission to supplement energy harvesters in sensor network applications

    SciTech Connect (OSTI)

    Farinholt, Kevin M; Taylor, Stuart G; Park, Gyuhae; Farrar, Charles R

    2010-01-01

    In this paper we present a method for coupling wireless energy transmission with traditional energy harvesting techniques in order to power sensor nodes for structural health monitoring applications. The goal of this study is to develop a system that can be permanently embedded within civil structures without the need for on-board power sources. Wireless energy transmission is included to supplement energy harvesting techniques that rely on ambient or environmental, energy sources. This approach combines several transducer types that harvest ambient energy with wireless transmission sources, providing a robust solution that does not rely on a single energy source. Experimental results from laboratory and field experiments are presented to address duty cycle limitations of conventional energy harvesting techniques, and the advantages gained by incorporating a wireless energy transmission subsystem. Methods of increasing the efficiency, energy storage medium, target applications and the integrated use of energy harvesting sources with wireless energy transmission will be discussed.

  5. Wireless Network Esercitazioni

    E-Print Network [OSTI]

    Lo Cigno, Renato Antonio

    Wireless Network Esercitazioni Alessandro Villani avillani@science.unitn.it #12;Wireless Router WRT54G LINKSYS #12;WRT54G Č un router Wireless: 1 porta Ethernet verso la LAN esterna 4 porte Ethernet

  6. Maximizing Static Network Lifetime of Wireless Broadcast Adhoc Networks

    E-Print Network [OSTI]

    Poovendran, Radha

    of the important applications of wireless static adhoc net- works includes wireless sensor networks. The technology- cast routing over wireless static adhoc network where host mobility is not involved. We define the lifetime of a network as the dura- tion of time until the first node failure due to battery depletion. We

  7. Energy Modeling of Wireless Sensor Nodes Based on Petri Nets Ali Shareef, Yifeng Zhu

    E-Print Network [OSTI]

    Zhu, Yifeng

    energy- saving strategies in wireless sensor networks. Keywords-Wireless Sensor Networks, Petri NetsEnergy Modeling of Wireless Sensor Nodes Based on Petri Nets Ali Shareef, Yifeng Zhu Department}@eece.maine.edu Abstract--Energy minimization is of great importance in wire- less sensor networks in extending the battery

  8. Wireless passive radiation sensor

    DOE Patents [OSTI]

    Pfeifer, Kent B; Rumpf, Arthur N; Yelton, William G; Limmer, Steven J

    2013-12-03

    A novel measurement technique is employed using surface acoustic wave (SAW) devices, passive RF, and radiation-sensitive films to provide a wireless passive radiation sensor that requires no batteries, outside wiring, or regular maintenance. The sensor is small (<1 cm.sup.2), physically robust, and will operate unattended for decades. In addition, the sensor can be insensitive to measurement position and read distance due to a novel self-referencing technique eliminating the need to measure absolute responses that are dependent on RF transmitter location and power.

  9. EAMTR: Energy aware multi-tree routing for wireless sensor networks

    E-Print Network [OSTI]

    Fariborzi, Hossein

    IEEE 802.15.4 is the prevailing standard for low-rate wireless personal area networks. It specifies the physical layer and medium access control sub-layer. Some emerging standards such as ZigBee define the network layer ...

  10. Mitigating DoS Attacks against Signature-Based Broadcast Authentication in Wireless Sensor Networks

    E-Print Network [OSTI]

    Young, R. Michael

    and the ease of managing cryptographic keys, compared with the alternative of TESLA-based approaches. Though, and thus exhaust their limited battery power. This paper presents an efficient mechanism called message in short distances through wireless links [2]. These sensor nodes are typically battery

  11. Contention-Free Periodic Message Scheduler Medium Access Control in Wireless Sensor / Actuator Networks

    E-Print Network [OSTI]

    Barua, Rajeev

    , and chemical content to enable precise application of agents such as water, fertilizer, and pesticideContention-Free Periodic Message Scheduler Medium Access Control in Wireless Sensor / Actuator implemented with a contention-free message scheduler. A message scheduler is used to determine which message

  12. Wireless Network Economics and Games

    E-Print Network [OSTI]

    Huang, Jianwei

    Wireless Network Economics and Games Jianwei Huang Network Communications & Economics Lab-play-games/id642100914! ! · J. Huang and L. Gao, "Wireless Network Pricing," Synthesis Lectures on Communication Networks://jianwei.ie.cuhk.edu.hk/publication/Book/ WirelessNetworkPricing.pdf! ! #12;Why Wireless Economics and Games? #12;Wireless Utopia · Wireless spectrum

  13. Pyroelectric Energy Scavenging Techniques for Self-Powered Nuclear Reactor Wireless Sensor Networks

    SciTech Connect (OSTI)

    Hunter, Scott Robert [ORNL; Lavrik, Nickolay V [ORNL; Datskos, Panos G [ORNL; Clayton, Dwight A [ORNL

    2014-01-01

    Recent advances in technologies for harvesting waste thermal energy from ambient environments present an opportunity to implement truly wireless sensor nodes in nuclear power plants. These sensors could continue to operate during extended station blackouts and during periods when operation of the plant s internal power distribution system has been disrupted. The energy required to power the wireless sensors must be generated using energy harvesting techniques from locally available energy sources, and the energy consumption within the sensor circuitry must therefore be low to minimize power and hence the size requirements of the energy harvester. Harvesting electrical energy from thermal energy sources can be achieved using pyroelectric or thermoelectric conversion techniques. Recent modeling and experimental studies have shown that pyroelectric techniques can be cost competitive with thermoelectrics in self powered wireless sensor applications and, using new temperature cycling techniques, has the potential to be several times as efficient as thermoelectrics under comparable operating conditions. The development of a new thermal energy harvester concept, based on temperature cycled pyroelectric thermal-to-electrical energy conversion, is outlined. This paper outlines the modeling of cantilever and pyroelectric structures and single element devices that demonstrate the potential of this technology for the development of high efficiency thermal-to-electrical energy conversion devices.

  14. Malicious Node Detection in Wireless Sensor Networks using Weighted Trust Evaluation

    E-Print Network [OSTI]

    Chen, Yu

    network. Another concern is about energy efficiency. In a WSN, each sensor node may need to support battery lifetime, security mechanisms for sensor networks must be energy efficient [19]. Especially such as limited battery lifetime, memory space and computing capability. It is critical to detect and isolate

  15. Optimizing Cluster Heads for Energy Efficiency in Large-Scale Heterogeneous Wireless Sensor Networks

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

    Gu, Yi; Wu, Qishi; Rao, Nageswara S. V.

    2010-01-01

    Many complex sensor network applications require deploying a large number of inexpensive and small sensors in a vast geographical region to achieve quality through quantity. Hierarchical clustering is generally considered as an efficient and scalable way to facilitate the management and operation of such large-scale networks and minimize the total energy consumption for prolonged lifetime. Judicious selection of cluster heads for data integration and communication is critical to the success of applications based on hierarchical sensor networks organized as layered clusters. We investigate the problem of selecting sensor nodes in a predeployed sensor network to be the cluster headsmore »to minimize the total energy needed for data gathering. We rigorously derive an analytical formula to optimize the number of cluster heads in sensor networks under uniform node distribution, and propose a Distance-based Crowdedness Clustering algorithm to determine the cluster heads in sensor networks under general node distribution. The results from an extensive set of experiments on a large number of simulated sensor networks illustrate the performance superiority of the proposed solution over the clustering schemes based on k -means algorithm. « less

  16. Wireless Network Esercitazioni

    E-Print Network [OSTI]

    Lo Cigno, Renato Antonio

    Wireless Network Esercitazioni Alessandro Villani avillani@science.unitn.it #12;Configurazione AP sito CISCO: http://www.cisco.com/public/sw-center/sw- wireless.shtml La versione attuale č: c1200-k9w7;AP 1200: Configurazione Wireless Ruolo in una rete Wireless: Root o repeater Speed: Basic: traffico

  17. Cooperation Incentives for Wireless Networks

    E-Print Network [OSTI]

    Wu, Chuchu

    2015-01-01

    incentives in multi-hop wireless networks. ” In INFOCOM,for offloading traffic from LTE network to wireless peer-to-reputation sys- tem for wireless mesh networks using network

  18. Data Spider: A Resilient Mobile Basestation Protocol for Efficient Data Collection in Wireless Sensor Networks

    E-Print Network [OSTI]

    Krovi, Venkat

    Data Spider: A Resilient Mobile Basestation Protocol for Efficient Data Collection in Wireless networks (WSNs) rely on static basestations to collect data. For applications with highly spatio-temporal and dynamic data generation, such as tracking and detection applications, static basestations suffer from

  19. AIDA: Adaptive Application Independent Data Aggregation in Wireless Sensor Networks1

    E-Print Network [OSTI]

    Stankovic, John A.

    . Additionally, we show as much as a 50% reduction in transmission energy consumption with an overall reduction sensitive manner. Such systems suffer bandwidth, energy, and throughput constraints that limit the quantity nature of wireless communication to concatenate network units into an aggregate using a novel adaptive

  20. Opportunities of Wireless Sensors and Controls for Building Operation

    SciTech Connect (OSTI)

    Kintner-Meyer, Michael CW

    2004-09-30

    This paper characterizes commercially available wireless technologies that are suitable for use in commercial buildings. It describes two demonstration projects of wireless sensors and their integration into existing control networks, and discusses their cost per sensor, their ease of installation, and their reliability. The author will discuss the operational and energy benefits of the wireless sensors and report on the energy and cost savings estimates. The paper will conclude with some practical considerations for the installation of wireless sensors and provide a future outlook for wireless technologies in buildings applications.

  1. Chapters 6 & 8 Wireless Networks

    E-Print Network [OSTI]

    Lu, Enyue "Annie"

    Chapters 6 & 8 Wireless Networks and Security Computer Networking:ATop Down Approach 6th edition.W. Ross, All Rights Reserved Wireless, Mobile Networks 6-1 #12;Wireless, Mobile Networks 6-2 Ch. 6: Wireless and Mobile Networks Background: # wireless (mobile) phone subscribers now exceeds # wired phone

  2. Wireless Network Esercitazioni

    E-Print Network [OSTI]

    Lo Cigno, Renato Antonio

    Wireless Network Esercitazioni Alessandro Villani avillani@science.unitn.it #12;WEP Cracking #12 (Nomina sunt consequentia rerum) quello di fornire sul canale wireless un livello di sicurezza equivalente

  3. Transmission Power Management for Wireless Health Applications

    E-Print Network [OSTI]

    Amini, Navid

    2012-01-01

    J. Kaiser, “Microleap: Energy-aware wireless sensor platformError through Energy-Efficient Wireless Sensor Networks,”metrics in energy constrained wireless sensor networks,

  4. Assembling regions for efficacious aggregate query processing in wireless sensor networks

    E-Print Network [OSTI]

    Fertis, Apostolos

    2005-01-01

    The field of sensor networks is rapidly developing enabling us to deploy them to an unpredictable environment and draw diverse and interesting information from it. Their capabilities are improving. They can sense complicated ...

  5. A study on Modeling of Dependency between Configuration Parameters and Overall Energy Consumption in Wireless Sensor Network (WSN)

    E-Print Network [OSTI]

    Kamyabpour, Najmeh

    2011-01-01

    In this paper, we study a new approach to model the overall Energy Consumption (EC) in Wireless Sensor Networks (WSN). First, we extract parameters involving in the EC of WSNs. The dependency between configuration parameters and the average residual energy of a specific application is then investigated. Our approach has three key steps: profiling, parameter reduction, and modeling. In profiling, a sensor network simulator is re-run 800 times with different values of the configuration parameters in order to profile the average residual energy in nodes. In the parameter reduction, three statistical analyses (p-value, linear and non-linear correlation) are applied to the outcome of profiled experiments in order to separate the effective parameters on WSN residual energy. Finally, linear regression is used to model the relation between the chosen effective parameters and the residual energy. The evaluation based on running the simulator for another 200 times with different values of the effective parameters shows...

  6. Scheduling Data Collection with Dynamic Traffic Patterns in Wireless Sensor Networks

    E-Print Network [OSTI]

    Tang, Xueyan

    collection. Experimental results using real- world data traces show that, compared with existing schedules and time efficiency of sensor data collection with dynamic traffic patterns. I. INTRODUCTION Energy networks. Energy efficiency concerns the amount of energy spent in data collection. Since sensor nodes

  7. Sprinkler: A reliable and energy efficient data dissemination service for extreme scale wireless networks of embedded devices

    E-Print Network [OSTI]

    Naik, Vinayak; Arora, Anish; Sinha, Prasun; Zhang, Hongwei

    2007-01-01

    Assignment in Radio Networks,” Wireless Networks, vol. 7,in a Mobile Ad Hoc Network,” Wireless Networks, vol. 8, no.Sensor Net- works,” Wireless Networks, vol. 8, no. 2, pp.

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

    E-Print Network [OSTI]

    Huang, Yi; Hua, Yingbo

    2011-01-01

    estimation in energy-constrained wireless sensor networks,”Hua, “Energy cost for estimation in multihop wireless sensorcomputing, and wireless communication. Although the energy

  9. Survivability Considerations in Wireless Networks

    E-Print Network [OSTI]

    Ning, Jianxia

    2012-01-01

    Forensics Analysis of Packet Losses in Wireless Networks 2.1Neighbor Discovery in 60 GHz Indoor Wireless Networks 4.1in Wireless Networks . . . . . . . . . . . . . 4.2.4

  10. Quick Convergecast in ZigBee Beacon-Enabled Tree-Based Wireless Sensor Networks

    E-Print Network [OSTI]

    Tseng, Yu-Chee

    sensor networks. Existing con- vergecast solutions have focused on reducing latency and energy platforms have been developed, such as MICA [6] and Dust Network [2]. For interoperability among different systems, standards such as ZigBee [24] 1 #12;have been developed. In the ZigBee protocol stack, physical

  11. On the Use of Clustering for Resource Allocation in Wireless Visual Sensor Networks

    E-Print Network [OSTI]

    Kondis, Lisimachos Paul

    .e., energy consumption or network resources), due to scenes of varying motion or texture that the visual to a Centralized Control Unit (CCU), which manages the network resources. In real environments, the visual sensors video traffic will exceed 50% of the total mobile data traffic in 2011 and will be approximately two

  12. 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. ”

  13. 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

  14. 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.

  15. 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

  16. Wireless Network Esercitazioni

    E-Print Network [OSTI]

    Lo Cigno, Renato Antonio

    Wireless Network Esercitazioni Alessandro Villani avillani@science.unitn.it #12;Reti Ad Hoc #12;Reti Ad Hoc (IBSS) Tipicamente le wireless LANs che conosciamo utilizzano la modalitŕ "infrastrutturata Hoc (IBSS) La modalitŕ Ad Hoc permette agli utenti di costituire una wireless LAN autonomamente

  17. Wireless Networking | ornl.gov

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

    Wireless Networking A PDF version of these instructions is also available. As a visitor to Oak Ridge National Laboratory (ORNL), access to the ORNL wireless network is available...

  18. PINCO: a Pipelined In-Network COmpression Scheme for Data Collection in Wireless Sensor Networks

    E-Print Network [OSTI]

    Liu, Ling

    networks, low-power cir- cuit design, and micro electro-mechanical systems (MEMS) has led to the production

  19. Abstract The process control industry has shown great interest in implementation of low cost, low power wireless sensor

    E-Print Network [OSTI]

    power transmission through metal walls using piezoelectric transducers [1], electromechanical network, low power wireless sensor networks. Such networks are much easier to deploy and reconfigure compared Wireless sensing and control networks have given machinery designers the flexibility to place network

  20. Evaluating local contributions to global performance in wireless sensor and actuator

    E-Print Network [OSTI]

    Rozell, Christopher J.

    Evaluating local contributions to global performance in wireless sensor and actuator networks, Houston, TX 77025-1892 {crozell,dhj}@rice.edu Abstract. Wireless sensor networks are often studied-network. In such settings, optimizing the sensor node behavior with respect to sensor information fidelity does

  1. LOCALIZATION AND ENERGY MODELING IN WIRELESS SENSOR Ali Shareef

    E-Print Network [OSTI]

    Zhu, Yifeng

    components of a sensor node, including processors with emerging energy-saving features, wireless energy-saving strategies in WSN. For example, it can be demonstrated that by carefully selectingLOCALIZATION AND ENERGY MODELING IN WIRELESS SENSOR NETWORKS By Ali Shareef B.S. Purdue University

  2. Lifetime Prediction for Supercapacitor-powered Wireless Sensor Nodes

    E-Print Network [OSTI]

    Turau, Volker

    with a prediction of future incoming energy, e.g., obtained from a solar cell. II. RELATED WORK Several approachesLifetime Prediction for Supercapacitor-powered Wireless Sensor Nodes Christian Renner, J research direction for wireless sensor networks. It depends on accurate models for lifetime prediction

  3. Pairing Based Mutual Healing in Wireless Sensor Sarita Agrawal1

    E-Print Network [OSTI]

    International Association for Cryptologic Research (IACR)

    (WSN) is a network of autonomous sensor nodes com- municating through wireless medium. The nodes in WSN. The main constraint in WSN is that sensor nodes have limited memory, power, computation and communication/alter the information contained and even physical destruction. Furthermore, the nodes in WSN com- municate via wireless

  4. Secure Hop-by-Hop Aggregation of End-to-End Concealed Data in Wireless Sensor Networks

    E-Print Network [OSTI]

    Mlaih, Esam

    2008-01-01

    In-network data aggregation is an essential technique in mission critical wireless sensor networks (WSNs) for achieving effective transmission and hence better power conservation. Common security protocols for aggregated WSNs are either hop-by-hop or end-to-end, each of which has its own encryption schemes considering different security primitives. End-to-end encrypted data aggregation protocols introduce maximum data secrecy with in-efficient data aggregation and more vulnerability to active attacks, while hop-by-hop data aggregation protocols introduce maximum data integrity with efficient data aggregation and more vulnerability to passive attacks. In this paper, we propose a secure aggregation protocol for aggregated WSNs deployed in hostile environments in which dual attack modes are present. Our proposed protocol is a blend of flexible data aggregation as in hop-by-hop protocols and optimal data confidentiality as in end-to-end protocols. Our protocol introduces an efficient $O(1)$ heuristic for checking...

  5. Network coded wireless architecture

    E-Print Network [OSTI]

    Katti, Sachin Rajsekhar

    2008-01-01

    Wireless mesh networks promise cheap Internet access, easy deployment, and extended range. In their current form, however, these networks suffer from both limited throughput and low reliability; hence they cannot meet the ...

  6. Distributed Detection and Localization of Events in Large Ad Hoc Wireless Sensor Networks

    E-Print Network [OSTI]

    Kumar, Anurag

    are application­specific networks that com- prise a large number of tiny, energy­limited, smart sensor devices by . This formulation is motivated by the change detection/isolation framework introduced by Nikiforov [6]. We extend decisions of ALL toggle rapidly. Motivated by this fact, we propose a distributed change detection

  7. A Survey on Routing Protocols for Wireless Sensor Networks Kemal Akkaya and Mohamed Younis

    E-Print Network [OSTI]

    Younis, Mohamed

    nodes are constrained in energy supply and bandwidth. Such constraints combined with a typical Department of Computer Science and Electrical Engineering University of Maryland, Baltimore County Baltimore to many new protocols specifically designed for sensor networks where energy awareness is an essential

  8. Mobile Data Collection Networks for Wireless Sensor Kai Li Kien A. Hua

    E-Print Network [OSTI]

    Hua, Kien A.

    .S.A. kailee.cs@knights.ucf.edu, kienhua@eecs.ucf.edu Abstract. Energy consumption is a major limitation individual sensor energy consumption, they suffer from longer latency and low data delivery ratio. In face applications. MDCNet is a fully self-deployed mesh network with virtual mesh nodes (mobile relay nodes

  9. Optimized Implementation of Elliptic Curve Based Additive Homomorphic Encryption for Wireless Sensor Networks

    E-Print Network [OSTI]

    Huss, Sorin A.

    Sensor Networks Osman Ugus, Dirk Westhoff NEC Europe Ltd. 69115 Heidelberg, Germany {ugus computational and energy resources, thus requir- ing efficient algorithms. As a solution for this problem processor for WSNs. Compared to the best previous result, our implementation is at least 44% faster

  10. Percolation in multi-hop wireless networks Massimo Franceschetti1

    E-Print Network [OSTI]

    Meester, Ronald

    Percolation in multi-hop wireless networks Massimo Franceschetti1 , Lorna Booth, Matthew Cook2 of Technology, 3 Vrije Universiteit Amsterdam Abstract Models of wireless ad-hoc and sensor networks are often in practice. Keywords: wireless ad-hoc networks, continuum percolation, Boolean model, ran- dom connection

  11. 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

  12. The Use of Wireless Sensors in Geotechnical Field Applications David A. Saftner1

    E-Print Network [OSTI]

    Lynch, Jerome P.

    The Use of Wireless Sensors in Geotechnical Field Applications David A. Saftner1 , Roman D. Hryciw2 the potential of wireless sensing networks to improve geotechnical field monitoring and the use of wireless deposited, disturbed, and/or densified saturated sand deposits. Wireless sensors are being integrated

  13. Context-aware computing for wireless networks

    E-Print Network [OSTI]

    Ergüt, Salih

    2010-01-01

    a fourty dollar wireless router offers similar services tomechanism for wireless mesh networks where routers benefit

  14. Epidemic Propagation In Overlaid Wireless Networks

    SciTech Connect (OSTI)

    Yanmaz, Evsen [Los Alamos National Laboratory

    2008-01-01

    Witb tbe emergence of computer worms tbat can spread over air interfaces, wireless ad boc and sensor networks can be vulnerable to node compromises even if the deployed network is not connected to the backbone. Depending on the physical topology of the wireless network, even a single infected node can compromise the whole network. In this work, epidemic (e.g., worm) propagation in a static wireless network is studied, where a number of inCected mobile nodes are injected over the existing network. It is shown that the epidemic spread threshold and size depend on the physical topology of the underlying static wireless network as well as the mobility model employed by the infected mobile nodes. More specifically, results show that in a Cully-connected static wirelessnctwork targeted attacks are more effective, wbereas Cor a random topology random attacks can be sufficient to compromise the whole network.

  15. 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

  16. CRBcast: A Collaborative Rateless Scheme for Reliable and Energy-Efficient Broadcasting in Wireless Sensor

    E-Print Network [OSTI]

    Rahnavard, Nazanin

    Sensor Networks Nazanin Rahnavard School of Electrical and Computer Engineering Georgia Institute in reliability and energy efficiency of the broadcasting scheme for multi-hop wireless sensor networks. Our two, theory. design Keywords Wireless sensor networks, broadcasting, reliability, energy efficiency, rateless

  17. On Deployment of Multiple Base Stations for Energy-Efficient Communication in Wireless Sensor Networks

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

    Lin, Yunyue; Wu, Qishi; Cai, Xiaoshan; Du, Xiaojiang; Kwon, Ki-Hyeon

    2010-01-01

    Data transmission from sensor nodes to a base station or a sink node often incurs significant energy consumption, which critically affects network lifetime. We generalize and solve the problem of deploying multiple base stations to maximize network lifetime in terms of two different metrics under one-hop and multihop communication models. In the one-hop communication model, the sensors far away from base stations always deplete their energy much faster than others. We propose an optimal solution and a heuristic approach based on the minimal enclosing circle algorithm to deploy a base station at the geometric center of each cluster. In themore »multihop communication model, both base station location and data routing mechanism need to be considered in maximizing network lifetime. We propose an iterative algorithm based on rigorous mathematical derivations and use linear programming to compute the optimal routing paths for data transmission. Simulation results show the distinguished performance of the proposed deployment algorithms in maximizing network lifetime.« less

  18. Energy-efficient wireless sensors : fewer bits, Moore MEMS

    E-Print Network [OSTI]

    Chen, Fred (Fred Fu-Chin)

    2011-01-01

    Adoption of wireless sensor network (WSN) technology could enable improved efficiency across a variety of industries that include building management, agriculture, transportation, and health care. Most of the technical ...

  19. Real-Time Wireless Sensor-Actuator Networks for Industrial Cyber-Physical Systems

    E-Print Network [OSTI]

    Lu, Chenyang

    and experimentation of industrial WSAN protocols; (3) cyber-physical co-design of wireless control systems [1], HART [2], WINA [3] and ZigBee [4] have been actively pushing the application of wireless

  20. Hybrid Model Predictive Control Based on Wireless Sensor Feedback: An Experimental Study

    E-Print Network [OSTI]

    Johansson, Karl Henrik

    Hybrid Model Predictive Control Based on Wireless Sensor Feedback: An Experimental Study Alberto based on measurements collected by a wireless sensor network. The proposed setup is the prototype of an industrial application in which a remote station controls the process via wireless network links

  1. 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

  2. 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

  3. 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

  4. 2 IEEE/ACMTRANSACTIONS ON NETWORKING, VOL. l 1, NO. 1, FEBRUARY2003 Directed Diffusion for Wireless Sensor Networking

    E-Print Network [OSTI]

    Heidemann, John

    the directed-diffusion paradigm for such coordination. Directed diffusion is data-centric in that all schemes (e.g., omniscient multicast) under the investigated scenarios. Index Terms--Data aggregation, data-centric networks. This paradigm, which we call directed diffusion, 1 is data-centric. Data generated by sensor

  5. Outage Optimum Routing for Wireless Networks

    E-Print Network [OSTI]

    Garcia-Luna-Aceves, J.J.

    2011-01-01

    Outage Optimum Routing for Wireless Networks B. Amiri, H. R.of wireless network outage probability in a fadinguse analytical calculation of outage probability in wireless

  6. Time-Sensitive Utility-Based Routing inTime-Sensitive Utility-Based Routing inTime-Sensitive Utility-Based Routing inTime-Sensitive Utility-Based Routing in Duty-Cycle Wireless Sensor Networks withDuty-Cycle Wireless Sensor Networks withDuty-Cycle Wireles

    E-Print Network [OSTI]

    Wu, Jie

    Time-Sensitive Utility-Based Routing inTime-Sensitive Utility-Based Routing inTime-Sensitive Utility-Based Routing inTime-Sensitive Utility-Based Routing in Duty-Cycle Wireless Sensor Networks with TEMPLE UNIVERSITY #12;Introduction: utility-based routingIntroduction: utility-based routing

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

    E-Print Network [OSTI]

    Steck, Jamie Bradley

    2009-01-01

    Wireless Com- IEEE 802.15.4 Zigbee standard municationuses the IEEE 802.15.4 Zigbee standard protocol and operates

  8. Wireless sensor networks: a survey I.F. Akyildiz, W. Su*, Y. Sankarasubramaniam, E. Cayirci

    E-Print Network [OSTI]

    Chen, Yuanzhu Peter

    of micro- electro-mechanical systems technology, wireless communications and digital electronics. First; Power aware protocols 1. Introduction Recent advances in micro-electro-mechanical systems (MEMS

  9. 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

  10. 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.

  11. 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

    appear ahead for optimization of WSN systems. References [1]Wireless Sensor Network (WSN) systems. Most recently, the32-bit processor-based WSN nodes that meet new application

  12. Industrial Wireless Sensor Standards; A User Perspective

    SciTech Connect (OSTI)

    Sorge, John N [Southern Company Services, Inc.; Taft, Cyrus W. [Taft Engineering, Inc.; Manges, Wayne W [ORNL

    2011-01-01

    Future industrial use of wireless instrumentation will undoubtedly increase dramatically in the coming years. Deployment of such instrumentation in an industrial setting with its security and robustness criteria that are much more stringent than residential performance criteria hinges on user acceptance of verified performance as well as meeting cost requirements. Today, circa 2011, these industrial users are faced with many choices when specifying a wireless sensor network, including radio performance, battery life, interoperability concerns, and standards compliance. With industrial users standing on the precipice to order and deploy (literally) millions of wireless instruments, it is imperative that accurate information for applying the technology to real-world applications be available to the end-user.

  13. Network coding for robust wireless networks

    E-Print Network [OSTI]

    Kim, MinJi, Ph. D. Massachusetts Institute of Technology

    2012-01-01

    Wireless networks and communications promise to allow improved access to services and information, ubiquitous connectivity, and mobility. However, current wireless networks are not well-equipped to meet the high bandwidth ...

  14. ORACLE: Mobility control in wireless sensor and actor networks Kaoru Ota a,b,

    E-Print Network [OSTI]

    Shen, Xuemin "Sherman"

    as energy suppliers to recharge energy in the battery of deployed sensors. Another category includes

  15. Opportunities of Wireless Sensors and Controls for Building Operation

    SciTech Connect (OSTI)

    Kintner-Meyer, Michael CW; Conant, Rob

    2004-08-01

    This paper characterizes commercially available wireless technologies that are already being used in buildings applications or that are suitable for use in commercial buildings. The discussion provides an overview of fundamental concepts of radial broadcasting systems, as well as meshed networks, and will highlight the opportunities and challenges in their integration into existing wired control networks. This paper describes two demonstration projects of wireless sensors and their integration into existing control networks, and discusses their cost per sensor, their ease of installation, and their reliability. The authors will discuss the load control strategies implemented as a consequence of the wireless sensors and report on the energy and cost savings estimates. The paper will conclude with general future prospects for wireless technologies in buildings applications.

  16. 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

  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.

    . 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

  18. Energy Efficient Software-Based Self-Test for Wireless Sensor Network Nodes Rong Zhang, Zeljko Zilic Katarzyna Radecka

    E-Print Network [OSTI]

    Zilic, Zeljko

    . Furthermore, energy consumption is a global phenomenon that depends on the precise interplay of all components-based self- test (SBST) method. Energy consumption is optimized both for individual components such as a CPU further reduces the overall test energy consumption. 1. Introduction In recent years, wireless sensor

  19. Energy Conserving Routing in Wireless Ad-hoc Networks Jae-Hwan Chang and Leandros Tassiulas

    E-Print Network [OSTI]

    Wang, Bing

    Energy Conserving Routing in Wireless Ad-hoc Networks Jae-Hwan Chang and Leandros Tassiulas-- energy-sensitive routing, wireless ad-hoc networks, sensor networks I. INTRODUCTION CONSIDER a group of wireless static nodes is considered as it arises in a rapidly deployed, sensor based, monitoring system

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

    E-Print Network [OSTI]

    Kam, Clement

    2010-01-01

    of sensor-equipped unmanned aerial vehicles (UAVs) have beena small number of unmanned aerial vehicles (?10 UAVs) are

  1. Efficient computation of robust average in wireless sensor networks using compressive sensing

    E-Print Network [OSTI]

    New South Wales, University of

    compressive sensing. Instead of sending a block of sensor readings to the data fusion centre, each sensor of the projections (which we will refer to as the compressed data) to the data fusion centre. At the data fusion of the robust average of the original sensor readings. This means that the data fusion centre will only need

  2. Collaborative Firewalling in Wireless Networks Mahmoud Taghizadeh

    E-Print Network [OSTI]

    Liu, Alex X.

    Collaborative Firewalling in Wireless Networks Mahmoud Taghizadeh Department of ECE Michigan State elements to enforce access policies in computer networks. Open network architecture, shared wireless medium for wireless networks in which nodes collaboratively perform packet filtering to address resource squandering

  3. DOI 10.1007/s11276-006-0724-8 Relay sensor placement in wireless sensor networks

    E-Print Network [OSTI]

    Cheng, Xiuzhen "Susan"

    , is that the heat dissipated by higher-power transmission may meddle the sensing function (i.e. temperature sensors the set of duty sensors in the plane and the upper bound of the transmission range, compute the minimum

  4. 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

  5. Wireless Networked Control System using IEEE 802.15.4 with GTS Najet Boughanmi

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Wireless Networked Control System using IEEE 802.15.4 with GTS Najet Boughanmi LORIA.rondeau@cran.uhp-nancy.fr Abstract In this paper, the suitability of wireless sensor networks for networked control loop is shown because of the network wires. Wireless Networked Control Systems (WNCS) are an alternative to overcome

  6. Optimizing the Placement of Integration Points in Multi-hop Wireless Networks

    E-Print Network [OSTI]

    Hunt, Galen

    Optimizing the Placement of Integration Points in Multi-hop Wireless Networks Lili Qiu, Ranveer Chandra, Kamal Jain, and Mohammad Mahdian ABSTRACT Efficient integration of a multi-hop wireless network neighborhood networks and sensor networks. In a wireless neighborhood network, a few Internet Transit Access

  7. GreenWave Routing Trees for Wireless Sensor Fikret Sivrikaya

    E-Print Network [OSTI]

    Bystroff, Chris

    collisions and minimizing retransmissions in the wireless medium [2] [4] [24] [25] [26]. Most algorithms which construct routing trees rooted at sink nodes to route data to and from sensor nodes. First. Many application scenarios for sensor networks are projected such as environment monitoring, disaster

  8. Wireless Sensor Node Localization By Akos Ledeczi and Miklos Maroti

    E-Print Network [OSTI]

    Maróti, Miklós

    University of Szeged Szeged, Hungary mmaroti@math.u-szeged.hu For most wireless sensor network (WSN) applications, the positions of the sensor nodes need to be known. GPS has not fit into WSN very well due to its brought about a large number of proposed methods for WSN node localization. They show tremendous variation

  9. Adaptive Scheduling in Ad Hoc and Cellular Wireless Networks

    E-Print Network [OSTI]

    Tan, Choo Chin

    2013-01-01

    organization wireless networks and wireless mobile ad-hocfor heterogeneous wireless network”, in Proc. of IEEER. Khalaf, “Ad hoc wireless networks with mobile backbones,”

  10. Smart Object Architecture for Energy-Efficient Wireless Sensors

    E-Print Network [OSTI]

    Ashutosh Verma; Winston Wu; Sridhar Vemuri; Gregory Pottie; William Kaiser

    2003-01-01

    Object Architecture for Energy - Efficient Wireless Sensorsfor multitasking energy-aware wireless sensor systems thatsupport for energy efficient wide-bandwidth wireless Past

  11. Caching in wireless networks

    E-Print Network [OSTI]

    Niesen, Urs

    We consider the problem of delivering content cached in a wireless network of n nodes randomly located on a square of area n. In the most general form, this can be analyzed by considering the 2[superscript n] timesn-dimensional ...

  12. 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...

  13. 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...

  14. Link Characterization for Aerial Wireless Sensor Networks Nadeem Ahmed Salil S. Kanhere Sanjay Jha

    E-Print Network [OSTI]

    New South Wales, University of

    station by equipping the UAVs with a 802.11 or ZigBee transmitter. Given that the typical range of wireless technologies such as 802.11 and ZigBee is only a few meters, UAVs create a multi-hop aerial

  15. Energy-Aware Geographic Routing in Lossy Wireless Sensor Networks with Environmental

    E-Print Network [OSTI]

    California at Davis, University of

    wireless channel condition and the renewal capability of environmental energy supply when making routing are typically battery powered and the lifetime of the battery imposes a limitation on the operation hours), battery technology has been relatively unchanged for many years. Energy efficiency has been a critical

  16. ENERGY-EFFICIENT COOPERATIVE COMMUNICATION BASED ON POWER CONTROL AND SELECTIVE RELAY IN WIRELESS SENSOR NETWORKS

    E-Print Network [OSTI]

    Cui, Jun-Hong

    ENERGY-EFFICIENT COOPERATIVE COMMUNICATION BASED ON POWER CONTROL AND SELECTIVE RELAY IN WIRELESS], the energy efficiency of cooperative communication based on a simple re- lay selection strategy Engineering, Texas A&M University, College Station, TX, 77843 ABSTRACT Cooperative communication with single

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

    E-Print Network [OSTI]

    Kam, Clement

    2010-01-01

    network, such as swarming UAV systems. The transmissiondense, small-scale swarming UAV network. To our knowledge,such scenarios. Taking our UAV application as an example, a

  18. Energy efficiency in wireless networks 

    E-Print Network [OSTI]

    Jung, Eun-Sun

    2005-11-01

    Energy is a critical resource in the design of wireless networks since wireless devices are usually powered by batteries. Battery capacity is finite and the progress of battery technology is very slow, with capacity expected to make little...

  19. MUSTER: Adaptive Energy-Aware Multi-Sink Routing in Wireless Sensor Networks

    E-Print Network [OSTI]

    Picco, Gian Pietro

    , ventilation, and air conditioning (HVAC), along with fire alert. The actuator nodes distributed in the environment include air conditioning units, water sprinklers, and fire alarms. Sensor nodes (e

  20. Solar-Powered Smart Wireless Camera Network for Outdoor Monitoring

    E-Print Network [OSTI]

    Abas, Kevin Mathys

    2015-01-01

    2 Related Work Wireless Smart Cameras . . . . . .Solar-Powered Wireless Visual SensorOther Embedded Wireless Protocols . . . . . . . . . . . . .