Sample records for wireless sensor networks

  1. Mobility in Wireless Sensor Networks

    E-Print Network [OSTI]

    Mehta, Ankur Mukesh

    2012-01-01T23:59:59.000Z

    Channel-Specific Wireless Sensor Network Path Data”. In:Average Power in Wireless Sensor Networks through Data Ratedesign space of wireless sensor networks”. In: IEEE Wireless

  2. Wireless Sensor Networks for Home Health Care

    E-Print Network [OSTI]

    2007-01-01T23:59:59.000Z

    Wireless Sensor Networks for Home Health Care Chris R.Cooperation between wireless sensor networks and existingapplications of wireless sensor networks. In this paper we

  3. Special Issue on “Wireless Sensor Networks

    E-Print Network [OSTI]

    Yao, Kung; Zhang, Qian; Zhao, Qing

    2009-01-01T23:59:59.000Z

    Special Issue on “Wireless Sensor Networks” Kung Yao & Qianand tracking, etc. Wireless sensor networks utilize theaspects of wireless sensor networks. The first paper, “

  4. Data Transport Control in Wireless Sensor Networks

    E-Print Network [OSTI]

    Zhang, Hongwei; Naik, Vinayak S

    2008-01-01T23:59:59.000Z

    Congestion in Wireless Sensor Networks. ACM SenSys SandeepJohn Anderson (2002). Wireless Sensor Networks for HabitatWorkshop on Wireless Sensor Networks and Applications Miklos

  5. 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

  6. Decentralized TDOA Sensor Pairing in Multihop Wireless Sensor Networks

    E-Print Network [OSTI]

    Meng, Wei; Lihua, Xie; Wendong, Xiao

    2013-01-01T23:59:59.000Z

    localization in wireless sensor networks,” IEEE Signallocalization in wireless sensor networks,” IEEE Trans.techniques for wireless sensor networks: A survey,” IEEE

  7. 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. Key words. Wireless sensor networks, network capacity, network lifetime. 1. Introduction. When

  8. Optimal Deployment of Large Wireless Sensor Networks

    E-Print Network [OSTI]

    Toumpis, Stavros

    1 Optimal Deployment of Large Wireless Sensor Networks S. Toumpis, Member, IEEE, and Leandros, Sensor networks. I. INTRODUCTION A. Wireless Sensor Networks Wireless sensor networks are comprised of sensors that are equipped with wireless transceivers and so are able to form a wireless network [3

  9. Wireless Sensor Network Infrastructure : Construction and Evaluation

    E-Print Network [OSTI]

    Boyer, Edmond

    Wireless Sensor Network Infrastructure : Construction and Evaluation Kamal Beydoun, Violeta Felea main features for efficient energy management in wireless sensor networks. This paper aims to present a distributed and low-cost topology construction algorithm for wireless sensor networks, addressing

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

    E-Print Network [OSTI]

    Shwe, Hnin Yu; Chong, Peter HJ

    2013-01-01T23:59:59.000Z

    Scheme in Stereo Wireless Sensor Networks,” in Advances infor mobile wireless sensor networks," Ad Hoc Networks, vol.and B. D. O. Anderson, "Wireless sensor network localization

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

    E-Print Network [OSTI]

    Huang, Yi

    2010-01-01T23:59:59.000Z

    processing for a wireless sensor networks. Each circle ’S’techniques in wireless sensor networks: A survey,” IEEEestimation for wireless sensor networks, part i: Gaussian

  12. Improving the performance of distributed simulations of wireless sensor networks

    E-Print Network [OSTI]

    Jin, Zhong-Yi

    2010-01-01T23:59:59.000Z

    Overview of Wireless Sensor Networks . . 2.1.2 Difficultiesin parallel a wireless sensor network with two duty cycledin parallel a wireless sensor network with three nodes that

  13. Scalable Coverage Maintenance for Dense Wireless Sensor Networks

    E-Print Network [OSTI]

    Lu, Jun; Wang, Jinsu; Suda, Tatsuya

    2007-01-01T23:59:59.000Z

    get coverage in wireless sensor networks,” in Proceedings ofscheme for large wireless sensor networks,” in Pro- ceedingsWorkshop on Wireless Sensor Networks and Applications (

  14. Data-driven modeling of phenomena in wireless sensor networks

    E-Print Network [OSTI]

    Kamthe, Ankur U.

    2012-01-01T23:59:59.000Z

    experimentation in wireless sensor networks. Commun. ACM,of Phenomena in Wireless Sensor Networks A dissertationBoavida, editors, Wireless Sensor Networks, volume 5970 of

  15. Reliable and Efficient Programming Abstractions for Wireless Sensor Networks

    E-Print Network [OSTI]

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

    2007-01-01T23:59:59.000Z

    Macro-programming wireless sensor networks using Kairos. InAbstractions for Wireless Sensor Networks Nupur Kothari ?Keywords Wireless Sensor Networks, Macroprogramming, En-

  16. Optimal Deployment of Impromptu Wireless Sensor Networks

    E-Print Network [OSTI]

    Kumar, Anurag

    Optimal Deployment of Impromptu Wireless Sensor Networks Prasenjit Mondal, K. P. Naveen and Anurag to deploy sensors (such as motion sensors, or even imaging sensors) and a wireless interconnection network an impromptu deploy- ment of a wireless sensor network in a building. Fig. 2. Problem studied in this paper

  17. Radioactive Target Detection Using Wireless Sensor Network

    E-Print Network [OSTI]

    Zhang, Tonglin

    Chapter 31 Radioactive Target Detection Using Wireless Sensor Network Tonglin Zhang Abstract for wireless sensor network data to detect and locate a hidden nuclear target in a large study area. The method assumes multiple radiation detectors have been used as sensor nodes in a wireless sensor network

  18. Gradient Clock Synchronization in Wireless Sensor Networks

    E-Print Network [OSTI]

    Gradient Clock Synchronization in Wireless Sensor Networks Philipp Sommer Computer Engineering- olution. Without doubt, time is a first-class citizen in wireless sensor networks. Without accurate time if the nodes in the wireless sensor network manage to have an adequate agreement of time. Indeed

  19. A Virtual Infrastructure for Wireless Sensor Networks

    E-Print Network [OSTI]

    Stojmenovic, Ivan

    &CHAPTER 4 A Virtual Infrastructure for Wireless Sensor Networks STEPHAN OLARIU and QINGWEN XU Old, and wireless communications 107 Handbook of Sensor Networks: Algorithms and Architectures, Edited by I and communication infra- structures, called wireless sensor networks, will have a significant impact on a wide array

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

    E-Print Network [OSTI]

    Teo, Yong-Meng

    Sensor 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 to the sharing of sensor resources in wireless sensor networks. There are several issues and challenges

  1. Distributed A Wireless Sensor Network for

    E-Print Network [OSTI]

    Distributed Computing A Wireless Sensor Network for Orienteering Competitions Master's Thesis-wave Monopole Antennas . . . . . . . . . . . . . 13 5 MAC and Routing in Wireless Sensor Networks 14 5.1 Medium and waterproof cases free of charge. i #12;Abstract This thesis deals with the development of a wireless sensor

  2. COMPRESSIVE LINEAR NETWORK CODING FOR EFFICIENT DATA COLLECTION IN WIRELESS SENSOR NETWORKS

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    COMPRESSIVE LINEAR NETWORK CODING FOR EFFICIENT DATA COLLECTION IN WIRELESS SENSOR NETWORKS fields, Wireless Sensor Networks Index Terms-- Belief Propagation, Network Coding, Fi- nite fields, Wireless Sensor Networks 1. INTRODUCTION A Wireless Sensor Network (WSN) consists of spatially dis

  3. 1 INTRODUCTION Wireless sensor networks tailored for structural

    E-Print Network [OSTI]

    Lynch, Jerome P.

    1 INTRODUCTION Wireless sensor networks tailored for structural monitoring applications have grown motivated researchers to explore wireless sensor networks for structural monitoring applications. Wireless in popularity since their initial introduction in the mid-1990s. Wireless sensors have the potential

  4. Detecting Phantom Nodes in Wireless Sensor Networks

    E-Print Network [OSTI]

    Kim, Dae-Shik

    Detecting Phantom Nodes in Wireless Sensor Networks Joengmin Hwang, Tian He and Yongdae Kim With thousands of tiny devices, Wireless Sensor Networks (WSNs) can support ubiquitous surveillance with a very number of phantom nodes. Key words: Sensor networks, localization, secure localization, location

  5. 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

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

    E-Print Network [OSTI]

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

    2006-01-01T23:59:59.000Z

    Protocol For Wireless Sensor Networks. In WSNA ’02. [30]Congestion in Wireless Sensor Networks. In SenSys ’04. [12]Y. Lei. A Two-Tier Wireless Sensor Network Architecture for

  7. Tracking Multiple Targets Using Binary Decisions from Wireless Sensor Networks

    E-Print Network [OSTI]

    Michailidis, George

    Tracking Multiple Targets Using Binary Decisions from Wireless Sensor Networks Natallia Katenka- tions. 1 #12;Keywords: wireless sensor networks, binary data, target tracking, multiple targets, penal- ized maximum likelihood 1 Introduction and Problem Motivation Wireless Sensor Networks (WSN) have

  8. Data Analysis and Query Processing in Wireless Sensor Networks

    E-Print Network [OSTI]

    Chatzimilioudis, Georgios

    2010-01-01T23:59:59.000Z

    5.2.2 Wireless Sensor Networks . . . . . . . . 5.33.1 De?nition of a Wireless Sensor Network . . . . . . .1.1 Introduction to Wireless Sensor Networks 1.2 Motivating

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

    E-Print Network [OSTI]

    Sahni, Sartaj K.

    Algorithms For Wireless Sensor Networks Sartaj Sahni and Xiaochun Xu Department of Computer for wireless sensor networks. We focus on sensor deployment and coverage, routing and sensor fusion. Keywords: Wireless sensor networks, algorithms, routing, coverage, fusion. 1 Introduction A wireless sensor network

  10. Monitoring Energy Consumption In Wireless Sensor Networks

    E-Print Network [OSTI]

    Turau, Volker

    Monitoring Energy Consumption In Wireless Sensor Networks Matthias Witt, Christoph Weyer, it may impair the ability of the sensor network to function. Therefore, minimizing energy consumption energy consumption in both standby and active modes is the basis of wireless networks. Energy preserving

  11. DISTRIBUTED OPPORTUNISTIC TRANSMISSION FOR WIRELESS SENSOR NETWORKS

    E-Print Network [OSTI]

    Islam, M. Saif

    DISTRIBUTED OPPORTUNISTIC TRANSMISSION FOR WIRELESS SENSOR NETWORKS Qing Zhao and Lang Tong School Strategy We consider the problem of information retrieval in sensor networks with mobile access points on Communica- tion and Networks under Grant DAAD19-01-2-0011. ˘ Fig. 1: Sensor networks with mobile access

  12. Distributed MIMO for wireless sensor networks 

    E-Print Network [OSTI]

    Wen, Xiaojun

    2011-11-22T23:59:59.000Z

    Over the past decade, wireless sensor networks have gained more research attention for their potential applications in healthcare, defense, environmental monitoring, etc. Due to the strict energy limitation in the sensor ...

  13. Opportunistic Source Coding for Data Gathering in Wireless Sensor Networks

    E-Print Network [OSTI]

    1 Opportunistic Source Coding for Data Gathering in Wireless Sensor Networks Tao Cui, Lijun Chen capacity of multihop wireless networks, an important topic addressed by wireless sensor networks community for correlated data gathering in wireless sensor networks, which ex- ploits the broadcast nature of wireless

  14. Wireless Sensor Network Energy Conversation Nathan A. Menhorn

    E-Print Network [OSTI]

    Wireless Sensor Network Energy Conversation Techniques Nathan A. Menhorn October 20, 2005 #12;Contents 1 Introduction to Wireless Sensor Networks 3 1.1 General Overview A Wireless Sensor Network Glossary 68 2 #12;Chapter 1 Introduction to Wireless Sensor Networks 1.1 General

  15. Robust Clock Synchronization in Wireless Sensor Networks

    E-Print Network [OSTI]

    Saibua, Sawin

    2010-10-12T23:59:59.000Z

    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. Robust Cubic-Based 3-D Localization for Wireless Sensor Networks

    E-Print Network [OSTI]

    Shwe, Hnin Y; Wang, Chenchao; Chong, Peter Han Joo; Kumar, Arun

    2013-01-01T23:59:59.000Z

    tion for Mobile Wireless Sensor Networks,” Ad Hoc Net-tion for Mobile Wireless Sensor Networks,” Ad Hoc Net-Scheme in Stereo Wireless Sensor Networks,” Advances in

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

    E-Print Network [OSTI]

    Xue, Xin

    2009-01-01T23:59:59.000Z

    On the application of wireless sensor networks in conditionLewis, "Energy-efficient wireless sensor network design andin dense wireless sensor networks," in Proceedings of the

  18. CTA: a Collaborative Tracking Algorithm in Wireless Sensor Networks

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    CTA: a Collaborative Tracking Algorithm in Wireless Sensor Networks Ibtissem Boulanouar, Stéphane. A Wireless Sensor Network (WSN) consists of a set of Wireless Sensors which can harvest, process and share flows. Thus, we observe the emergence of Wireless Multimedia Sensor Networks (WMSN). These WMSN offer

  19. Performance of Wireless Sensor Networks Under Random Node Failures

    E-Print Network [OSTI]

    Hagberg, Aric

    Performance of Wireless Sensor Networks Under Random Node Failures Milan Bradonji´c Bell range wireless sensor network applications with sensors distributed in the field using decentralized distribution. RGGs have been a standard tool to model and study wireless ad-hoc and wireless sensor networks [4

  20. Position Estimation With Moving Beacons in Wireless Sensor Networks

    E-Print Network [OSTI]

    Dong, Liang

    Position Estimation With Moving Beacons in Wireless Sensor Networks Liang Dong and Frank L nodes in a wireless sensor network. Without GPS capability on any of the sensors, the position issue in wireless sensor networks. Accurate positions of sensor nodes improve the routing efficiency

  1. PSFQ: A Reliable Transport Protocol for Wireless Sensor Networks

    E-Print Network [OSTI]

    Han, Richard Y.

    PSFQ: A Reliable Transport Protocol for Wireless Sensor Networks Chieh-Yih Wan Dept. of Electrical class of reliable data applications emerging in wireless sensor networks. For example, currently sensor of sensors in wireless sensor networks on the fly (e.g., during disaster recovery). Due to the application

  2. Energy Management in Wireless Sensor Network Operations 

    E-Print Network [OSTI]

    Mohapatra, Arupa Kumar

    2013-07-26T23:59:59.000Z

    problem (Case I), we consider minimizing energy and node replacement costs in underwater wireless sensor networks for seismic monitoring application. In this case, we introduce mixed-integer programming (MIP) formulations based on a combined routing...

  3. Key Predistribution Techniques for Grid-Based Wireless Sensor Networks

    E-Print Network [OSTI]

    Key Predistribution Techniques for Grid-Based Wireless Sensor Networks Simon R. Blackburn1 , Tuvi sensor networks. Networks consisting of wireless sensor nodes ar- ranged in a grid pattern have many for the instantiation of these schemes. Key words: Key predistribution, wireless sensor networks; symmetric key

  4. Maximum Network Lifetime in Wireless Sensor Networks with Adjustable Sensing Ranges

    E-Print Network [OSTI]

    Wu, Jie

    1 Maximum Network Lifetime in Wireless Sensor Networks with Adjustable Sensing Ranges Mihaela problem in wireless sensor networks with adjustable sensing range. Communication and sensing consume Wireless sensor networks (WSNs) constitute the foundation of a broad range of applications related

  5. Extension of the Semantic Sensor Network Ontology for Wireless Sensor Networks

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Extension of the Semantic Sensor Network Ontology for Wireless Sensor Networks: The Stimulus Wireless Se- mantic Sensor Network ontology, in an agri-environmental scenario to illustrate the interest technolo- gies, Wireless Sensor Network (WSN) becomes widely used. WSN usually consists of a set

  6. 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

  7. Coverage Properties of the Target Area in Wireless Sensor Networks

    E-Print Network [OSTI]

    Zuyev, Sergei

    1 Coverage Properties of the Target Area in Wireless Sensor Networks Xiaoyun Li, Member, IEEE is developed for the probability of sensing coverage in a wireless sensor network with randomly deployed sensor examined. These results will have applications in planning and design tools for wireless sensor networks

  8. Threshold-Controlled Global Cascading in Wireless Sensor Networks

    E-Print Network [OSTI]

    Varela, Carlos

    Threshold-Controlled Global Cascading in Wireless Sensor Networks Qiming Lu and G. Korniss is a challenging task. Wireless Sensor Networks (WSNs) provide an example where understanding dynamical processes and other wireless ad- hoc networks. First, sensor nodes are often densely deployed (typically 20 sensor per

  9. Antenna-based "Smart Skin" Sensors for Sustainable, Wireless Sensor Networks

    E-Print Network [OSTI]

    Tentzeris, Manos

    Antenna-based "Smart Skin" Sensors for Sustainable, Wireless Sensor Networks Hoseon Leet, George-less, or sustainable, wireless sensor networks with "smart skin" sensor nodes. These sensors are highly applicable a wireless sensor network with smart sensors requires a lot of power due to the mass number of sensor nodes

  10. Efficient Clustering Algorithms for Self-Organizing Wireless Sensor Networks

    E-Print Network [OSTI]

    Starobinski, David

    Efficient Clustering Algorithms for Self-Organizing Wireless Sensor Networks Rajesh Krishnan BBN@bu.edu Abstract Self-organization of wireless sensor networks, which involves network decomposi- tion-organization in wireless sensor networks. We first present a novel approach for message-efficient clustering, in which

  11. Intelligent Management of Misbehaving Nodes In Wireless Sensor Networks

    E-Print Network [OSTI]

    Gesbert, David

    Intelligent Management of Misbehaving Nodes In Wireless Sensor Networks Using Blackhole@eurecom.fr Abstract--Misbehaving nodes in wireless sensor networks and ad hoc networks often disrupt the operation delivery and erroneous data outputs for wireless sensor networks. Existing literatures have addressed

  12. Implementing a wireless base station for a sensor network

    E-Print Network [OSTI]

    Song, Heewon, 1977-

    2004-01-01T23:59:59.000Z

    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, ...

  13. Combinatorial Design of Key Distribution Mechanisms for Wireless Sensor Networks

    E-Print Network [OSTI]

    Bystroff, Chris

    Combinatorial Design of Key Distribution Mechanisms for Wireless Sensor Networks Seyit A. C¸amtepe1 of the most challenging security issues in wireless sensor networks where sensor nodes are randomly scattered-chain sizes. 1 Introduction and Problem Definition In this work, we consider a sensor network in which sensor

  14. Combinatorial Design of Key Distribution Mechanisms for Wireless Sensor Networks

    E-Print Network [OSTI]

    Bystroff, Chris

    Combinatorial Design of Key Distribution Mechanisms for Wireless Sensor Networks Seyit A. C� amtepe of the most challenging security issues in wireless sensor networks where sensor nodes are randomly scattered­chain sizes. 1 Introduction and Problem Definition In this work, we consider a sensor network in which sensor

  15. Near Optimal Broadcast with Network Coding in Large Homogeneous Wireless Sensor Networks

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Near Optimal Broadcast with Network Coding in Large Homogeneous Wireless Sensor Networks C of wireless "homogeneous" sensor networks contained of the plane: wireless lattice networks, and dense unit of application is wireless sensor net- works, and indeed network coding has been used in wireless networks

  16. 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

  17. Using efficiently autoregressive estimation in Wireless Sensor Networks

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Using efficiently autoregressive estimation in Wireless Sensor Networks Karen Miranda1 , Víctor M City {Name.Surname}@inria.fr, vicman@xanum.uam.mx Abstract--Wireless sensor networks (WSNs) are widely networks; autoregressive pro- cesses; data aggregation. I. INTRODUCTION Applications for wireless sensor

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

    E-Print Network [OSTI]

    Michailidis, George

    Robust Target Localization from Binary Decisions in Wireless Sensor Networks Natallia Katenka Wireless sensor networks (WSN) are becoming an important tool in a variety of tasks, including mon- itoring targets and localizing multiple targets are also considered. Keywords: wireless sensor network, target

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

    E-Print Network [OSTI]

    Huang, Yinlun

    On Distributed Fault-Tolerant Detection in Wireless Sensor Networks Xuanwen Luo, Student Member problems for distributed fault-tolerant detection in wireless sensor networks: 1) how to address both it possible to perform energy- efficient fault-tolerant detection in a wireless sensor network. Index Terms

  20. Model-Driven Dynamic Control of Embedded Wireless Sensor Networks

    E-Print Network [OSTI]

    Agarwal, Pankaj K.

    Model-Driven Dynamic Control of Embedded Wireless Sensor Networks Paul G. Flikkema1 , Pankaj K-generation wireless sensor networks may revolution- ize understanding of environmental change by assimilating heteroge of wireless sensor networks is now becoming a mature research field. As a result, the discipline is undergoing

  1. SeRLoc: Robust Localization for Wireless Sensor Networks

    E-Print Network [OSTI]

    Hochberg, Michael

    SeRLoc: Robust Localization for Wireless Sensor Networks LOUKAS LAZOS and RADHA POOVENDRAN University of Washington Many distributed monitoring applications of Wireless Sensor Networks (WSNs) require of Wireless Sensor Networks to determine their location in an untrusted environment, known as the secure

  2. Data aware, Low cost Error correction for Wireless Sensor Networks

    E-Print Network [OSTI]

    California at San Diego, University of

    Data aware, Low cost Error correction for Wireless Sensor Networks Shoubhik Mukhopadhyay, Debashis challenges in adoption and deployment of wireless networked sensing applications is ensuring reliable sensor of such applications. A wireless sensor network is inherently vulnerable to different sources of unreliability

  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-hop network topology were conducted using three wireless sensor net- work traffic patterns (broadcast which reduce radio energy consumption is important for wireless sensor networks (WSNs). The most

  4. Finding and Mending Barrier Gaps in Wireless Sensor Networks

    E-Print Network [OSTI]

    Liu, Benyuan

    Finding and Mending Barrier Gaps in Wireless Sensor Networks Anwar Saipulla Benyuan Liu Jie Wang--Constructing sensing barriers using wireless sensor networks has important applications in military operations results show that our algorithms can effectively improve the barrier coverage of a wireless sensor network

  5. A Directionality based Location Discovery Scheme for Wireless Sensor Networks

    E-Print Network [OSTI]

    Ha, Dong S.

    A Directionality based Location Discovery Scheme for Wireless Sensor Networks Asis Nasipuri and Kai is a large ad hoc network of densely dis- tributed sensors that are equipped with low power wireless number of such wireless sensors can be networked to coordinate amongst themselves and per- form the much

  6. Wireless Sensor Network for Aircraft Health Monitoring Honeywell Labs

    E-Print Network [OSTI]

    Minnesota, University of

    Wireless Sensor Network for Aircraft Health Monitoring Haowei Bai Honeywell Labs 3660 Technology of applications. The objective of this article is to describe a wireless sensor network for monitoring of the health of aircraft engines. We describe the architec- ture of the wireless sensor network along with how

  7. Exposure In Wireless Sensor Networks: Theory And Practical Solutions

    E-Print Network [OSTI]

    Exposure In Wireless Sensor Networks: Theory And Practical Solutions Seapahn Megerian1 , Farinaz}@cs.ucla.edu, farinaz@eecs.berkeley.edu, gangqu@eng.umd.edu, gforce@ucla.edu Abstract Wireless ad-hoc sensor networks behavior of exposure and the proposed algorithm for its calculation. Keywords: wireless sensor network

  8. Wireless Sensor Networks Routing over Zones Kamal Beydoun, Violeta Felea

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Wireless Sensor Networks Routing over Zones Kamal Beydoun, Violeta Felea Laboratory of Computer univ-fcomte dot fr Abstract--In this paper, we propose a routing protocol for wireless sensor networks to determine a lower bound for the number of zones. Index Terms--wireless sensor networks, hierarchical routing

  9. Health Monitoring of Civil Infrastructures Using Wireless Sensor Networks

    E-Print Network [OSTI]

    Glaser, Steven D.

    Health Monitoring of Civil Infrastructures Using Wireless Sensor Networks Sukun Kim Shamim Pakzad of Society (CITRIS). #12;Health Monitoring of Civil Infrastructures Using Wireless Sensor Networks Sukun Kim1., 4145 N. First Street, San Jose, CA 95134 Abstract. A Wireless Sensor Network (WSN) for Structural

  10. A New Management Method for Wireless Sensor Networks

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    A New Management Method for Wireless Sensor Networks Aur´elien JACQUOT, Jean-Pierre CHANET, Kun.monier@anelis.isima.fr Abstract--The Wireless Sensor Networks (WSN) with their constant evolution, need new management methods, environmental data collection etc. In order to manage a large scale WSN, several Wireless sensor network

  11. ZIGBEE WIRELESS SENSOR NETWORK NODES DEPLOYMENT STRATEGY FOR

    E-Print Network [OSTI]

    ZIGBEE WIRELESS SENSOR NETWORK NODES DEPLOYMENT STRATEGY FOR DIGITAL AGRICULTURAL DATA ACQUISITIONBee-based wireless sensor network for digital agricultural data acquisition is one of the best ways to build the system. In this paper, based on ZigBee wireless sensor network deployment planning principles

  12. A Dynamic Clustering Construction for Wireless Sensor Networks

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    1 A Dynamic Clustering Construction for Wireless Sensor Networks Eugene Pamba Capo-Chichi , David and reduced costs have encouraged the use of wireless sensor networks in many applications. Advances of a well known clustering algorithm for wireless sensor networks named LEACH and its versions such as LEACH

  13. A realistic testing of a shipboard wireless sensor network

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    A realistic testing of a shipboard wireless sensor network H. Kdouh1,* , C. Brousseau2 , G. Zaharia-mail : hussein.kdouh@insa-rennes.fr Abstract--Wireless Sensor Networks (WSN) may be a very useful technology by the topology evolution of the network and the analysis of RSSI levels of links between sensor nodes. Keywords-Wireless

  14. Detecting and Locating Radioactive Signals with Wireless Sensor Networks

    E-Print Network [OSTI]

    Zhang, Tonglin

    Detecting and Locating Radioactive Signals with Wireless Sensor Networks Tonglin Zhang Department-765-4940558 AbstractMethods of detecting and locating nuclear radioac- tive targets via wireless sensor networks (WSN model, radia- tion and radioactive isotopes, wireless sensor network. I. INTRODUCTION Currently, using

  15. Channel Bonding in Cognitive Radio Wireless Sensor Networks

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Channel Bonding in Cognitive Radio Wireless Sensor Networks Mubashir Husain Rehmani, St-mail: rehmani@univ-mlv.fr, lohier@univ-mlv.fr, rachedi@univ-mlv.fr Abstract--Recently, wireless sensor networks, Wireless Multimedia Sensor Networks (WMSNs) have lot of new potential applications in different domains

  16. Cross-layered Synchronization Protocol for Wireless Sensor Networks

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Cross-layered Synchronization Protocol for Wireless Sensor Networks Thomas Beluch, Daniela. Advances in wireless sensor network performances and improvement of attainable bit rates allow research on such measurement systems using Wireless Sensor Networks (WSNs). However, current WSN synchronization protocols do

  17. Managing Wireless Sensor Networks with Supply Chain Strategy

    E-Print Network [OSTI]

    Latchman, Haniph A.

    Managing Wireless Sensor Networks with Supply Chain Strategy Wei Liu , Yanchao Zhang, Wenjing Lou Email: {liuw@,yczhang@,fang@ece.}ufl.edu Email: wjlou@ece.wpi.edu Abstract-- Wireless sensor networks wireless sensor networks (WSNs) be identified as one of the most important technologies that will change

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

    E-Print Network [OSTI]

    Tseng, Yu-Chee

    The Coverage Problem in Three-Dimensional Wireless Sensor Networks Chi-Fu Huang, Yu-Chee Tseng- bedded micro-sensing MEMS technologies has made wireless sensor networks possible. Such environments may protocols [7], [8], [9]. Localization and positioning applications of wireless sensor networks are discussed

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

    E-Print Network [OSTI]

    Boucherie, Richard J.

    Effective Scheduling for Coded Distributed Storage in Wireless Sensor Networks Jan-Willem van Bloem in a decentralized fashion for any rate below this maximum. 1 Introduction In wireless sensor networks, reliable data storage is essential for coping with fail- ures. Wireless sensor networks consist of cooperating devices

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

    E-Print Network [OSTI]

    Heys, Howard

    University. 2. Based on "An Analysis of Link Layer Encryption Schemes in Wireless Sensor Networks" by X In this paper, we focus on the energy efficiency of secure communication in wireless sensor networks (WSNs). Our - wireless sensor networks; security; encryption; cryptographic algorithm; stream cipher; block cipher 1

  1. Routing protocol for anycast communications in a wireless sensor network

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Routing protocol for anycast communications in a wireless sensor network Nancy El Rachkidy. 1 Introduction In the past few years, wireless sensor networks have been used in several moni University Complexe scientifique des C´ezeaux, 63177 Aubi`ere cedex, France Abstract. In wireless sensor

  2. Data Collection and Management Solution for Wireless Sensor Networks

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Data Collection and Management Solution for Wireless Sensor Networks G. De Sousa1 , J.-P. Chanet1 Aubičre cedex, France Correspondent author: gil.de-sousa@cemagref.fr Abstract Wireless sensors networks on wireless sensors, implementing a hardware component-based concept, that allow them to be combined to form

  3. Topology management protocols in ad hoc wireless sensor networks

    E-Print Network [OSTI]

    Kim, Hogil

    2009-05-15T23:59:59.000Z

    A wireless sensor network (WSN) is comprised of a few hundred or thousand au-tonomous sensor nodes spatially distributed over a particular region. Each sensornode is equipped with a wireless communication device, a small microprocessor, anda battery...

  4. Power Optimal Connectivity and Coverage in Wireless Sensor Networks

    E-Print Network [OSTI]

    Bystroff, Chris

    1 Power Optimal Connectivity and Coverage in Wireless Sensor Networks Metin Inanc, Malik Magdon links, there are fundamental differences between a sensor network and other wireless ad-hoc networks programming/Optimization I. INTRODUCTION This work considers a sensor network which is com- prised of a large

  5. 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 Protocol Stack March 26, 2014 1 / 15 #12;One-Slide Refresher Wireless Sensor Networks (WSNs) Could be used;Wireless access point network Layers Application Google Chrome Transport Transmission Control Protocol (TCP

  6. An Energy Efficient Hierarchical Clustering Algorithm for Wireless Sensor Networks

    E-Print Network [OSTI]

    Chen, Ing-Ray

    An Energy Efficient Hierarchical Clustering Algorithm for Wireless Sensor Networks Seema (approximately 1 cubic millimeter) sensors. An ad-hoc wireless network of large numbers of such inexpensive, IN, USA {seema, coyle}@ecn.purdue.edu Abstract-- A wireless network consisting of a large number

  7. Ferry-Based Linear Wireless Sensor Networks

    E-Print Network [OSTI]

    Wu, Jie

    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 pipelines. Desalinated water. Saudi Arabia: 3,800 Km. Oil, Gas, and Water Pipeline UseOil, Gas, and Water

  8. Exploring Architectural Challenges in Scalable Underwater Wireless Sensor Networks

    E-Print Network [OSTI]

    Shi, Zhijie Jerry

    1 Exploring Architectural Challenges in Scalable Underwater Wireless Sensor Networks Z. Jerry Shi and Yunsi Fei Department of Computer Science and Engineering Department of Electrical and Computer sensor networks (UWSNs): Aquatic applications Design challenges in UWSNs ­ Communications ­ Networking

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

    E-Print Network [OSTI]

    Chen, Jian

    2005-11-01T23:59:59.000Z

    A large-scale distributed wireless sensor network is composed of a large collection of small low-power, unattended sensing devices equipped with limited memory, processors, and short-range wireless communication. The network is capable...

  10. 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

  11. High-resolution speech signal reconstruction in Wireless Sensor Networks

    E-Print Network [OSTI]

    Gutierrez-Osuna, Ricardo

    High-resolution speech signal reconstruction in Wireless Sensor Networks Andria Pazarloglou, Radu With the recent growth of Wireless Sensor Networks (WSNs), many advanced application areas have received sig, rgutier}@cs.tamu.edu Abstract--Data streaming is an emerging class of applica- tions for sensor networks

  12. Exploring In-Situ Sensing Irregularity in Wireless Sensor Networks

    E-Print Network [OSTI]

    Kim, Dae-Shik

    Exploring In-Situ Sensing Irregularity in Wireless Sensor Networks Joengmin Hwang, Tian He Introduction Wireless sensor networks are envisioned to support vari- ety of applications such as military network systems. Compared to the diversified solutions pro- duced for communication among sensor nodes

  13. A Biologically Inspired Networking Model for Wireless Sensor Networks

    E-Print Network [OSTI]

    Charalambous, Charalambos

    2011-02-22T23:59:59.000Z

    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...

  14. Designing Wireless Sensor Networks as a Shared Resource for Sustainable Development

    E-Print Network [OSTI]

    2006-01-01T23:59:59.000Z

    J. Kaiser. High wireless sensor network for long-term, in-Designing Wireless Sensor Networks as a Shared Resource forAbstract Introduction Wireless sensor networks (WSNs) are a

  15. 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

  16. Optimized Node Selection for Compressive Sleeping Wireless Sensor Networks

    E-Print Network [OSTI]

    Chen, Wei; Wassell, Ian J.

    2015-02-05T23:59:59.000Z

    1Optimized Node Selection for Compressive Sleeping Wireless Sensor Networks Wei Chen, Member, IEEE, and Ian J. Wassell Abstract—In this paper, we propose an active node selection framework for compressive sleeping wireless sensor networks (WSNs... development oftechnologies in sensing, computing and communication has made it possible to employ wireless sensor networks (WSNs) to continuously monitor physical phenomena in a variety of applications, for example air quality monitoring, wildlife tracking...

  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. Power Management for Wireless Sensor Networks Based on Energy Budgets

    E-Print Network [OSTI]

    Turau, Volker

    Power Management for Wireless Sensor Networks Based on Energy Budgets Christian Renner Institute with wireless sensor networks powered by energy-harvesting supplies. We introduce the concept of an energy budget, the amount of energy available to a sensor node for a given period of time. The presented tools

  19. 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

  20. Copyrighted (Textbook) Fei Hu and Xiaojun Cao, Wireless Sensor Networks: Principles and Practice, CRC Press Page 1 Chapter 4: Routing in Wireless Sensor

    E-Print Network [OSTI]

    Hu, Fei

    Copyrighted (Textbook) Fei Hu and Xiaojun Cao, Wireless Sensor Networks: Principles and Practice, CRC Press Page 1 Chapter 4: Routing in Wireless Sensor Networks 4.1 Introduction to Routing in Wireless Sensor Networks Wireless Sensor Networks (WSNs) is a distributed wireless ad-hoc network

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

    E-Print Network [OSTI]

    Cardei, Mihaela

    1 Energy-Efficient Data Gathering in Heterogeneous Wireless Sensor Networks Wael Awada and Mihaela of energy constrained wireless sensor nodes. Sensor nodes are deployed randomly to monitor a number of targets. Since targets are redundantly covered by more sensors, in order to conserve energy resources, we

  2. Link Loss Inference in Wireless Sensor Networks with Randomized Network Coding

    E-Print Network [OSTI]

    Wong, Vincent

    Link Loss Inference in Wireless Sensor Networks with Randomized Network Coding Vahid Shah that randomized network coding can improve the reliability of wireless sensor networks with lossy links. With network coding, the loss rate of a chosen path in a wireless sensor network is the maximum link loss rate

  3. An Energy-efficient Wireless Sensor Network for Precision Agriculture

    E-Print Network [OSTI]

    Kumar, Ratnesh

    An Energy-efficient Wireless Sensor Network for Precision Agriculture Herman Sahota Ratnesh Kumar and control technologies in application areas such as precision agriculture. We design MAC and Network layers for a wireless sensor network deployed for a precision agriculture application which requires periodic collection

  4. SENSOR PLACEMENT FOR MAXIMIZING LIFETIME PER UNIT COST IN WIRELESS SENSOR NETWORKS

    E-Print Network [OSTI]

    Chuah, Chen-Nee

    SENSOR PLACEMENT FOR MAXIMIZING LIFETIME PER UNIT COST IN WIRELESS SENSOR NETWORKS Yunxia Chen in a wireless sensor network (WSN). Analyzing the lifetime per unit cost of a linear WSN, we find that deploying of sensors deployed in the network, can be used to measure the utilization efficiency of sensors

  5. Heterogeneous Wireless Sensor Network Deployment and Topology Control Based on Irregular Sensor Model

    E-Print Network [OSTI]

    Chung, Yeh-Ching

    Heterogeneous Wireless Sensor Network Deployment and Topology Control Based on Irregular Sensor Introduction Wireless sensor network (WSN) is a key element of the pervasive/ubiquitous computing sensor network (heterogeneous WSN) consists of sensor nodes with different ability, such as different

  6. 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 the needs for special type of applications where Wireless Sensor Networks (WSN) can play an important role that differentiate it from other types of wireless networks. These differences raise new challenges to be overcome

  7. Techniques for mitigating congestion in wireless sensor networks

    E-Print Network [OSTI]

    Hull, Bret Warren, 1980-

    2005-01-01T23:59:59.000Z

    Network congestion occurs when offered traffic load exceeds available capacity at any point in a network. In wireless sensor networks, congestion causes overall channel quality to degrade and loss rates to rise, leads to ...

  8. Secure Integrated Routing and Localization in Wireless Optical Sensor Networks

    E-Print Network [OSTI]

    Okorafor, Unoma Ndili

    2009-05-15T23:59:59.000Z

    Wireless ad hoc and sensor networks are envisioned to be self-organizing and autonomous networks, that may be randomly deployed where no fixed infrastructure is either feasible or cost-effective. The successful commercialization of such networks...

  9. Demo Abstract: A Unified Architecture for Flexible Radio Power Management in Wireless Sensor Networks

    E-Print Network [OSTI]

    Lu, Chenyang

    Demo Abstract: A Unified Architecture for Flexible Radio Power Management in Wireless Sensor Terms Experimentation, Design Keywords Wireless Sensor Networks, Radio Power Management, Architecture, Framework 1 Overview Radio power management is of paramount concern in wireless sensor networks. While

  10. 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

  11. Energy Optimal Transmission Scheduling in Wireless Sensor Networks

    E-Print Network [OSTI]

    Koksal, Can Emre

    1 Energy Optimal Transmission Scheduling in Wireless Sensor Networks Rahul Srivastava, Student networks is energy efficient communication of time-critical data. Energy wastage can be caused by failed. INTRODUCTION Energy efficient communication is one of the key concerns in the design of wireless sensor

  12. 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

  13. Sequence-Based Localization in Wireless Sensor Networks

    E-Print Network [OSTI]

    Krishnamachari, Bhaskar

    Sequence-Based Localization in Wireless Sensor Networks Kiran Yedavalli and Bhaskar Krishnamachari Abstract--We introduce a novel sequence-based localization technique for wireless sensor networks. We show that the localization space can be divided into distinct regions that can each be uniquely identified by sequences

  14. Dynamic Key Ring Update Mechanism for Mobile Wireless Sensor Networks

    E-Print Network [OSTI]

    Yanikoglu, Berrin

    @sabanciuniv.edu Abstract--Key distribution is an important issue to provide security in Wireless Sensor Networks (WSNs. For the performance evaluation basis, we used our mechanism together with a location based key pre-distribution scheme Terms--mobile wireless sensor networks, key ring update, security, resiliency, connectivity I

  15. A congestion control scheme for wireless sensor networks

    E-Print Network [OSTI]

    Xiong, Yunli

    2005-08-29T23:59:59.000Z

    In wireless sensor networks (WSN), nodes have very limited power due to hardware constraints. Packet losses and retransmissions resulting from congestion cost precious energy and shorten the lifetime of sensor nodes. This problem motivates the need...

  16. Integration of wireless sensor networks in environmental monitoring cyber infrastructure

    E-Print Network [OSTI]

    Huang, Yan

    Integration of wireless sensor networks in environmental monitoring cyber infrastructure Jue Yang Ă? to revolutionize many science and engineering domains. We present a novel environmental monitoring system collection, management, visualization, dissemination, and exchange, conforming to the new Sensor Web

  17. Energy-Efficient Routing Schemes for Wireless Sensor Networks

    E-Print Network [OSTI]

    Khan, Maleq

    1 Energy-Efficient Routing Schemes for Wireless Sensor Networks Maleq Khan Gopal Pandurangan Bharat be manually placed in specific positions. The sensor network is typically ad hoc, formed by local self-configuration. Data-centric routing is a new use- ful paradigm for energy-constrained sensor networks. The data coming

  18. Securely Computing an Approximate Median in Wireless Sensor Networks

    E-Print Network [OSTI]

    Setia, Sanjeev

    Securely Computing an Approximate Median in Wireless Sensor Networks Sankardas Roy 1 sroy1@gmu and the unattended nature of sensor nodes, sensor network protocols need to be designed with security in mind and efficient. Categories and Subject Descriptors C.2.0 [Computer-Communication Networks]: General- Security

  19. Joint Source Coding, Routing and Resource Allocation for Wireless Sensor Networks

    E-Print Network [OSTI]

    Yu, Wei

    Joint Source Coding, Routing and Resource Allocation for Wireless Sensor Networks Wei Yu and Jun}@comm.utoronto.ca Abstract-- This paper presents an optimization framework for a wireless sensor network in which each sensor regarded as a promising emerging application for future wireless networks. Wireless sensor networks

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

    E-Print Network [OSTI]

    Evans, David

    with the unpredictable network topologies that result from sensor node scatters and to manage resources (energy the flexibility necessary for the adaptations required of wireless sensor networks without the penalties network operation. · Nodes often fail during network operation, due to depleted energy, destruction

  1. SENSE: A WIRELESS SENSOR NETWORK Gilbert Chen, Joel Branch, Michael J. Pflug, Lijuan Zhu, and Boleslaw

    E-Print Network [OSTI]

    Varela, Carlos

    Chapter 1 SENSE: A WIRELESS SENSOR NETWORK SIMULATOR Gilbert Chen, Joel Branch, Michael J. Pflug Abstract A new network simulator, called SENSE, has been developed for simulating wireless sensor networks for sensor network research. Keywords: Wireless Sensor Networks, Network Simulation, Component-Based Sim

  2. A Realistic Power Consumption Model for Wireless Sensor Network Devices

    E-Print Network [OSTI]

    Hempstead, Mark

    . Recent analyses of WSN energy efficiency have been widely based on a sensor node power consumption model1 A Realistic Power Consumption Model for Wireless Sensor Network Devices Qin Wang, Mark Hempstead}@eecs.harvard.edu Abstract-- A realistic power consumption model of wireless communication subsystems typically used in many

  3. Bayesian Data and Channel Joint Maximum-Likelihood Based Error Correction in Wireless Sensor Networks

    E-Print Network [OSTI]

    Jagannatham, Aditya K.

    in wireless sensor networks (WSN). The proposed algo- rithm employs the temporal correlation of the narrowband Wireless Sensor Network (WSN), Likelihood, Sphere De- coder 1. INTRODUCTION Wireless Sensor Networks (WSNBayesian Data and Channel Joint Maximum-Likelihood Based Error Correction in Wireless Sensor

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

    E-Print Network [OSTI]

    Samuels, Julie Marie

    2012-02-14T23:59:59.000Z

    The use of a wireless sensor network (WSN) to monitor an historic structure under rehabilitation is the focus of this research. To thoroughly investigate the issue, two main objectives are addressed: the development of a reliable WSN tailored...

  5. Adaptive Distributed Resource Allocation in Wireless Sensor Networks

    E-Print Network [OSTI]

    Lim, Hock Beng

    Wireless sensor networks have emerged as a promising technology for a wide range of important applications. A major research challenge in this field is the distributed resource allocation problem, which concerns how the ...

  6. Robust Clock Synchronization Methods for Wireless Sensor Networks

    E-Print Network [OSTI]

    Lee, Jae Han

    2011-10-21T23:59:59.000Z

    Wireless sensor networks (WSNs) have received huge attention during the recent years due to their applications in a large number of areas such as environmental monitoring, health and traffic monitoring, surveillance and tracking, and monitoring...

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

    E-Print Network [OSTI]

    Samuels, Julie Marie

    2012-02-14T23:59:59.000Z

    The use of a wireless sensor network (WSN) to monitor an historic structure under rehabilitation is the focus of this research. To thoroughly investigate the issue, two main objectives are addressed: the development of a reliable WSN tailored...

  8. Cover sheet Real-time health monitoring of historic buildings with wireless sensor networks

    E-Print Network [OSTI]

    Picco, Gian Pietro

    Cover sheet Title: Real-time health monitoring of historic buildings with wireless sensor networks of a wireless sensor network (WSN) in Torre Aquila, a 31 meter-tall medieval tower located in the city of Trento agreement. INTRODUCTION Wireless sensors and wireless sensing networks, due to their low installation cost

  9. A Framework for Distributed Key Management Schemes in Heterogeneous Wireless Sensor Networks

    E-Print Network [OSTI]

    Hu, Jiankun

    A Framework for Distributed Key Management Schemes in Heterogeneous Wireless Sensor Networks Kejie propose a framework for key management schemes in distributed wireless sensor networks with heterogeneous, the wireless sensor network can achieve higher key connectivity and higher resilience. I. INTRODUCTION Wireless

  10. Attack-Resilient Time Synchronization for Wireless Sensor Networks

    E-Print Network [OSTI]

    Yener, Aylin

    Attack-Resilient Time Synchronization for Wireless Sensor Networks Hui Song, Sencun Zhu in sensor networks were not designed with security in mind, thus leaving them vulnerable to security attacks. In this paper, we first identify various attacks that are effective to several representative time

  11. Lexicographic Maxmin Fairness for Data Collection in Wireless Sensor Networks

    E-Print Network [OSTI]

    Latchman, Haniph A.

    possible forwarding paths are considered. We provide an iterative linear programming solution, which finds--Multipath maxmin fairness, wireless sensor networks, data collection applications, iterative linear programming. Ç among the peers? We define the maxmin optimal rate assignment problem in a sensor network, where all

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

    E-Print Network [OSTI]

    Liu, Yonghe

    1 Routing Correlated Data with Fusion Cost in Wireless Sensor Networks Hong Luo, Jun Luo, Yonghe. Different from existing schemes, MFST not only optimizes over the data transmission cost, but also incorporates the cost for data fusion which can be significant for emerging sensor networks with vectorial data

  13. 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

  14. SeRLoc: Secure Range-Independent Localization for Wireless Sensor Networks

    E-Print Network [OSTI]

    Hochberg, Michael

    SeRLoc: Secure Range-Independent Localization for Wireless Sensor Networks Loukas Lazos and Radha, radha}@ee.washington.edu ABSTRACT In many applications of wireless sensor networks (WSN), sensors Localization, Wireless sensor networks, range-independent This work was supported in part by the following

  15. A near optimal algorithm for lifetime optimization in wireless sensor networks

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    A near optimal algorithm for lifetime optimization in wireless sensor networks Karine Deschinkel1.deschinkel, mourad.hakem}@univ-fcomte.fr Keywords: target coverage, wireless sensor networks, centralized method in wireless sensor networks (WSN) is lifetime optimization. Indeed, in WSN each sensor node is battery powered

  16. A Robust Boundary Detection Algorithm Based on Connectivity Only for 3D Wireless Sensor Networks

    E-Print Network [OSTI]

    Jin, Miao

    A Robust Boundary Detection Algorithm Based on Connectivity Only for 3D Wireless Sensor Networks algorithm, dubbed Coconut, for 3D wireless sensor networks. It first constructs a tetrahedral structure known in practical wireless sensor networks. Third, it is robust to sensor distribution, effectively

  17. Efficient Algorithms for the p-Self-Protection Problem in Static Wireless Sensor Networks

    E-Print Network [OSTI]

    Wang, Yu

    Efficient Algorithms for the p-Self-Protection Problem in Static Wireless Sensor Networks Yu Wang for static wireless sensor networks in this paper. The self-protection problem focuses on using sensor nodes nodes can resist the attacks targeting them directly. A wireless sensor network is p

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

    E-Print Network [OSTI]

    Zhou, Gang

    Sidewinder: A Predictive Data Forwarding Protocol for Mobile Wireless Sensor Networks Matthew wireless sensor network deployments has received little study, such as in the case of floating sensor. Consequently, we propose Sidewinder, a predictive data forwarding protocol for mobile wireless sensor networks

  19. Local Vote Decision Fusion for Target Detection in Wireless Sensor Networks

    E-Print Network [OSTI]

    Michailidis, George

    1 Local Vote Decision Fusion for Target Detection in Wireless Sensor Networks Natallia Katenka by a wireless sensor network. Sensors acquire measurements emitted from the target that are corrupted by noise Wireless sensor networks are widely used for monitoring natural phenomena in space and over time, as well

  20. Wireless Sensors and Networks for Advanced Energy Management

    SciTech Connect (OSTI)

    Hardy, J.E.

    2005-05-06T23:59:59.000Z

    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.

  1. 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

  2. Maintaining Trajectory Privacy in Mobile Wireless Sensor Networks

    E-Print Network [OSTI]

    Yanikoglu, Berrin

    based and analytical performance evaluations for the proposed scheme. The results show that a network, the location privacy of the collectors of mobile companies is a security concern. Drastically, the networkMaintaining Trajectory Privacy in Mobile Wireless Sensor Networks Osman Kiraz Sabanci University

  3. Exploring Spatial Correlation for Link Quality Estimation in Wireless Sensor Networks

    E-Print Network [OSTI]

    Lee, Dongwon

    Exploring Spatial Correlation for Link Quality Estimation in Wireless Sensor Networks Yingqi Xu in wireless sensor network design. Dynamic network conditions and environmental factors make an on-line, self and accurate estimation of link quality in wireless sensor networks. This algorithm captures the spatial

  4. Coverage of Wireless Sensor Networks Guo-Lie Lan 1,2

    E-Print Network [OSTI]

    Ma, Zhi-Ming

    Coverage of Wireless Sensor Networks Guo-Lie Lan 1,2 and Zhi-Ming Ma1 and Su-Yong Sun 1,2 1, sensor network, large-scale, wireless, uniform distribution. 1 Introduction Recently, there has been a growing interest in studying large-scale wireless sensor networks. Such a network consists of a large

  5. Maximum-Lifetime Multi-Channel Routing in Wireless Sensor Networks

    E-Print Network [OSTI]

    Nasipuri, Asis

    Maximum-Lifetime Multi-Channel Routing in Wireless Sensor Networks Amitangshu Pal and Asis Nasipuri and routing problem in multi-channel wireless sensor networks for maximizing the worst case network lifetime solution for the problem. Keywords: Wireless sensor networks, multi-channel rout- ing, distributed

  6. On the Coverage Problem in Video-based Wireless Sensor Networks

    E-Print Network [OSTI]

    Heinzelman, Wendi

    On the Coverage Problem in Video-based Wireless Sensor Networks Stanislava Soro and Wendi B Email: {soro, wheinzel}@ece.rochester.edu Abstract ­ Video-based wireless sensor networks continue differences between traditional wireless sensor networks and video-based networks that lead to such a result

  7. Design under Constraints of Availability and Energy for Sensor Node in Wireless Sensor Network

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Design under Constraints of Availability and Energy for Sensor Node in Wireless Sensor Network Van by designers are availability and power/energy management for WSN. This paper presents a design for a wireless sensor node, which provides automated reconfiguration for both availability and energy-efficient use

  8. A Retasking Framework For Wireless Sensor Networks

    E-Print Network [OSTI]

    Weigle, Michele

    , built upon Deluge [1], is a wireless network code distribution protocol enabling node group management it affords. Deluge [1] is one of the approaches used to realize this concept. Deluge is a reliable and robust several limitations. First, Deluge is limited only to network-wide dissemination of program binaries

  9. 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

  10. 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

  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

    2010-01-01T23:59:59.000Z

    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. Distributed and Efficient Classifiers for Wireless Audio-Sensor Networks

    E-Print Network [OSTI]

    Nascimento, Mario A.

    efficient in terms of communication overhead. Index Terms--Sensors, Acoustic Classification, Features Selec evaluation results in terms of classification ac- curacy and energy expenditure trade-offs. Finally, SectionDistributed and Efficient Classifiers for Wireless Audio-Sensor Networks Baljeet Malhotra

  13. Saving Energy by Adjusting Transmission Power in Wireless Sensor Networks

    E-Print Network [OSTI]

    Rowe, Neil C.

    Saving Energy by Adjusting Transmission Power in Wireless Sensor Networks Xiao Chen Department and communication areas. Energy-efficient communication is an important issue in WSNs because of the limited power propose methods to reduce communication energy by minimizing the total sensor trans- mission power

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

    E-Print Network [OSTI]

    Wang, Lusheng

    DOI 10.1007/s11276-006-0724-8 Relay sensor placement in wireless sensor networks Xiuzhen Cheng Sensor Networks (WSNs) are ad hoc multihop sys- tems containing sensors connected by wireless links sensor net- works. In our study, this problem is modelled by a NP-hard network optimization problem named

  15. Time Synchronization in Hierarchical TESLA Wireless Sensor Networks

    SciTech Connect (OSTI)

    Jason L. Wright; Milos Manic

    2009-08-01T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

    Jindal, Apoorva

    2010-01-01T23:59:59.000Z

    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...

  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 or maximize the lifetime of the sensor network without taking into consideration limited capacity of wireless-hoc networks; Routing; Maximum Lifetime; Energy efficient; Capacity-constrained I. INTRODUCTION Wireless sensor

  18. Parallel data processing architectures for identification of structural modal properties using dense wireless sensor networks

    E-Print Network [OSTI]

    Lynch, Jerome P.

    dense wireless sensor networks A.T. Zimmerman, R.A. Swartz, D.A. Saftner, J.P. Lynch Department of Civil core of a network of wireless sensors. The embedded algorithms implemented include the peak peaking of vibration tests so that modal parameters can be estimated by the network. Keywords: Wireless sensors, system

  19. 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 for an efficient data dissemination in wireless sensor networks. This virtual infrastructure acts as a rendez

  20. BeamStar: A New Low-cost Data Routing Protocol for Wireless Sensor Networks

    E-Print Network [OSTI]

    Hou, Y. Thomas

    BeamStar: A New Low-cost Data Routing Protocol for Wireless Sensor Networks Shiwen Mao and Y-assisted, location-aware routing protocol, which we call BeamStar, for wireless sensor networks. We make a major microorganisms, contaminant transport, ecosystems, and battlefields. Wireless sensor networks, in which each

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

    E-Print Network [OSTI]

    The 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 of lower performance. I. INTRODUCTION One of the most intriguing applications of wireless sensor networking

  2. SEIF: Secure and Efficient Intrusion-Fault tolerant routing protocol for wireless sensor networks

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    1 SEIF: Secure and Efficient Intrusion-Fault tolerant routing protocol for wireless sensor networks Informatique Algiers, Algeria Email: lnoureddine4@gmail.com Abstract--In wireless sensor networks, reliability network, Security, Intrusion tolerance, Fault tolerance, Secure routing. I. INTRODUCTION Wireless Sensor

  3. On optimizing energy consumption: An adaptative authentication level in wireless sensor networks

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    On optimizing energy consumption: An adaptative authentication level in wireless sensor networks-hungry. As energy is a scarce resource in wireless sensor networks, we propose a new approach that consists or third-party nodes. I. INTRODUCTION Wireless sensor networks (WSNs) are used in several fields

  4. Analysis of Energy Consumption and Lifetime of Heterogeneous Wireless Sensor Networks

    E-Print Network [OSTI]

    Liu, Mingyan

    Analysis of Energy Consumption and Lifetime of Heterogeneous Wireless Sensor Networks Enrique J-- The paper examines the performance as well as energy con- sumption issues of a wireless sensor network to be deployed in large quantities to form wireless sensor networks for a wide variety of purposes, e.g., im- age

  5. Wireless Sensor Network Localization Techniques Guoqiang Mao, Baris Fidan and Brian D.O. Anderson

    E-Print Network [OSTI]

    Scheuermann, Peter

    1 Wireless Sensor Network Localization Techniques Guoqiang Mao, Baris¸ Fidan and Brian D.O. Anderson Abstract-- Wireless sensor network localization is an important area that attracted significant on possible approaches to them. Index Terms-- wireless sensor networks, localization, AOA, RSS, TDOA. I

  6. Connectivity-based Distributed Coverage Hole Detection in Wireless Sensor Networks

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Connectivity-based Distributed Coverage Hole Detection in Wireless Sensor Networks Feng Yan as an important measure of quality of service provided by a wireless sensor network (WSN). Yet, coverage holes may. INTRODUCTION Wireless sensor networks (WSNs) have attracted significant research attention due to their wide

  7. A wireless sensor network (WSN) may run different applications for different

    E-Print Network [OSTI]

    Braun, Torsten

    A wireless sensor network (WSN) may run different applications for different tasks, such as event Wireless Sensor Networks, which sup- ports common management tasks such as visualization, monitoring, (re the communication gateway between these sensor sub-networks, the WSN and the Internet. Wireless mesh nodes perform

  8. Self Organising Wireless Sensor Networks as a Land Management Tool in Developing Countries: A Preliminary Survey

    E-Print Network [OSTI]

    Haddadi, Hamed

    Self Organising Wireless Sensor Networks as a Land Management Tool in Developing Countries wireless sensor networks do to help? This overview discusses the environmental and technological challenges management. Self organising wireless sensor networks, if implemented adequately, have the potential to target

  9. Node-Replacement Policies to Maintain Threshold-Coverage in Wireless Sensor Networks

    E-Print Network [OSTI]

    Vokkarane, Vinod M.

    1 Node-Replacement Policies to Maintain Threshold-Coverage in Wireless Sensor Networks Sachin consider the problem of maintaining a minimum threshold-coverage in a wireless sensor network, while to maintain threshold-coverage in wireless sensor networks. These policies assess the candidature of each

  10. Secure and Scalable Cloud-based Architecture for e-Health Wireless sensor networks

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Secure and Scalable Cloud-based Architecture for e-Health Wireless sensor networks Ahmed Lounis--There has been a host of research works on wireless sensor networks for medical applications. However to achieve high flexibility and performance. Keywords: wireless sensor networks, healthcare, cloud com

  11. Statistical Approach to Radioactive Target Detection and Location via Wireless Sensor Networks

    E-Print Network [OSTI]

    Zhang, Tonglin

    Statistical Approach to Radioactive Target Detection and Location via Wireless Sensor Networks of radioactive target via wireless sensor networks. The statistical approach includes a hypotheses test this framework, a wireless sensor network (WSN) can be used as the system to obtain data. A statistical method

  12. Toward a high-fidelity wireless sensor network for rehabilitation supervision

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Toward a high-fidelity wireless sensor network for rehabilitation supervision Abdelkrim Hadjidj and the implementation of a new light-weight and easy to use wireless sensor network for high-fidelity rehabilitation performance through intensive real world experimentations and simulations. Keywords: wireless sensor networks

  13. A Low Latency MAC scheme for Event-Driven Wireless Sensor Networks

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    A Low Latency MAC scheme for Event-Driven Wireless Sensor Networks Hung-Cuong LE 1 , Hervé GUYENNET which we call LLMAC (Low Latency MAC) for event-driven wireless sensor networks (WSN). In this kind Introduction Wireless sensor network is a very hot research topic tendency in distributed systems. A WSN

  14. GCP: Gossip-based Code Propagation for Large-scale Mobile Wireless Sensor Network

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    GCP: Gossip-based Code Propagation for Large-scale Mobile Wireless Sensor Network Name: Yann Busnel-Marie Kermarrec Extended abstract Wireless sensor networks (WSN) are in a plentiful expansion. They are expected transmission. Keywords Wireless sensor network, mobile computing, large scale, diusion, software update

  15. Securing Wireless Sensor Networks: Introducing ASLAN -A Secure Lightweight Architecture for WSNs

    E-Print Network [OSTI]

    Dobson, Simon

    Securing Wireless Sensor Networks: Introducing ASLAN - A Secure Lightweight Architecture for WSNs://www.comp.dit.ie/mcollins 2 http://www.csi.ucd.ie/Staff/AcademicStaff/{sdobson, pnixon} Abstract Wireless sensor networks. To address the security vulnerabilities in a wireless sensor network, this paper proposes a secure

  16. Very Large Scale Open Wireless Sensor Network Testbed Clement Burin des Rosiers2

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    SensLAB Very Large Scale Open Wireless Sensor Network Testbed Cl´ement Burin des Rosiers2 wireless sensor network protocols and applications. SensLAB's main and most important goal is to offer examples to illustrate the use of the SensLAB testbed. Key words: Wireless Sensor Network, Testbed, Radio

  17. Partial Clustering: Maintaining Connectivity in a Low Duty-Cycled Dense Wireless Sensor Network

    E-Print Network [OSTI]

    Liu, Mingyan

    1 Partial Clustering: Maintaining Connectivity in a Low Duty-Cycled Dense Wireless Sensor Network of Michigan, Ann Arbor {chsin,mingyan}@eecs.umich.edu Abstract-- We consider a dense wireless sensor network their effectiveness and energy efficiency. Index Terms-- System design, wireless sensor networks, con- nectivity

  18. SensLAB: a Very Large Scale Open Wireless Sensor Network Testbed

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    SensLAB: a Very Large Scale Open Wireless Sensor Network Testbed C. Burin des Rosiers2 , G. Chelius- tations of scalable wireless sensor network protocols and applications. SensLAB's main and most important demonstration examples to illustrate the use of the SensLAB testbed. Keywords: Wireless Sensor Network, Testbed

  19. Passive Loss Inference in Wireless Sensor Networks Based on Network Coding

    E-Print Network [OSTI]

    Li, Baochun

    Passive Loss Inference in Wireless Sensor Networks Based on Network Coding Yunfeng Lin, Ben Liang, Baochun Li Department of Electrical and Computer Engineering University of Toronto {ylin, bli it desirable to monitor link loss rates in wireless sensor networks. In this paper, we study the loss inference

  20. 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

  1. 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

  2. Energy Efficient Multi-mode Operation for Networked Wireless Sensors

    E-Print Network [OSTI]

    Jay Yang, Shanchieh

    Energy Efficient Multi-mode Operation for Networked Wireless Sensors Shanchieh Jay Yang, Niranjan Krishnamurthi, Cory D. Cress and Moises Sudit Rochester Institute of Technology, Rochester, NY 14623 Abstract of research work, ranging from device en- gineering to network protocol design, have been initiated to address

  3. Directed Budget-Based Clustering for Wireless Sensor Networks

    E-Print Network [OSTI]

    Stavrakakis, Ioannis

    Directed Budget-Based Clustering for Wireless Sensor Networks Leonidas Tzevelekas National, distributed and energy efficient network self- organization. Budget-based clustering approaches have recently been proposed for this purpose, by specifying rules for distribut- ing a given budget of tokens

  4. Security Schemes for Wireless Sensor Networks with Mobile Sink

    E-Print Network [OSTI]

    Rasheed, Amar Adnan

    2011-08-08T23:59:59.000Z

    multi-hop approach used alone. 9 CHAPTER II KEY PRE-DISTRIBUTION SCHEMES FOR TOLERATING NODES CAPTURE IN SENSOR NETWORK WITH MS In this chapter, we propose two key pre-distribution schemes.... Taylor May 2010 Major Subject: Computer Science iii ABSTRACT Security Schemes for Wireless Sensor Networks with Mobile Sink. (May 2010) Amar Adnan Rasheed, B.S., University of Baghdad; M.S., Northeastern Illinois University Chair...

  5. 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

  6. Experimental Design and Analysis of Transmission Properties in an Indoor Wireless Sensor Network

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Experimental Design and Analysis of Transmission Properties in an Indoor Wireless Sensor Network channel common to an indoor, single-hop, wireless sensors networks in which the sensor deployment sensor network in a real-world indoor environment. We quantify the impact of primary factors

  7. Multiple-Objective Metric for Placing Multiple Base Stations in Wireless Sensor Networks

    E-Print Network [OSTI]

    Liblit, Ben

    positioning in sensor networks based on directional antennas [6], but it addresses secure positioningMultiple-Objective Metric for Placing Multiple Base Stations in Wireless Sensor Networks Soo Kim in wireless sensor networks. First, the ratio of sensor nodes which can communicate with a base station via

  8. 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

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

    E-Print Network [OSTI]

    Oak Ridge National Laboratory

    1 On Performance Metrics for Guaranteed QoS in Industrial Mobile Wireless Sensor Networks Teja collected over the network. As the industry is adapting these new-generation wireless sensors technical innovations, e.g., widespread use of wireless sensors forecasted to improve manufacturing

  10. Local Decisions and Optimal Distributed Detection in Mobile Wireless Sensor Networks

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Local Decisions and Optimal Distributed Detection in Mobile Wireless Sensor Networks Xusheng Sun that hybrids of them perform best. I. INTRODUCTION In an ad-hoc mobile wireless sensor network, mobile de, GA 30332­0250 Email: {xsun7, ejc}@gatech.edu Abstract--A set of mobile wireless sensors observe

  11. Dual Power Management for Network Connectivity in Wireless Sensor Networks Yanxia Rong

    E-Print Network [OSTI]

    Choi, Hyeong-Ah

    larger than the lower power level that is used to connect the nodes in the neighborhood. Hence, the dualDual Power Management for Network Connectivity in Wireless Sensor Networks Yanxia Rong , Hongsik@vcu.edu, hchoi@gwu.edu Abstract As the energy consumption in wireless sensor nodes is dominated by the radio

  12. 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)

    2010-10-26T23:59:59.000Z

    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.

  13. 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

  14. 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

  15. Optimizing physical layer parameters for wireless sensor networks

    E-Print Network [OSTI]

    Heinzelman, Wendi

    #12;Abstract Wireless sensor networks utilize battery-operated nodes, and thus energy efficiency of Master of Science in Electrical and Computer Engineering University of Rochester Rochester, New York 2007 the University of Rochester from 2002 to 2006, and graduated with a Bachelor of Science in Electrical

  16. Optimizing Physical Layer Parameters for Wireless Sensor Networks

    E-Print Network [OSTI]

    Heinzelman, Wendi

    relay distance and the optimal transmit energy as a function of channel noise level and path loss University of Economics and Technology, Ankara, TURKEY As wireless sensor networks utilize battery-operated nodes, energy efficiency is of paramount importance at all levels of system design. In order to save

  17. Experimental Study of Concurrent Transmission in Wireless Sensor Networks

    E-Print Network [OSTI]

    Krishnamachari, Bhaskar

    Experimental Study of Concurrent Transmission in Wireless Sensor Networks Dongjin Son1,2 Bhaskar Krishnamachari1 John Heidemann2 {dongjins, bkrishna}@usc.edu, johnh@isi.edu 1Department of Electrical Engineering-Systems, 2Information Sciences Institute Viterbi School of Engineering, University of Southern California

  18. 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

  19. Leakage-Aware Energy Synchronization for Wireless Sensor Networks

    E-Print Network [OSTI]

    Zhang, Zhi-Li

    Leakage-Aware Energy Synchronization for Wireless Sensor Networks Ting Zhu, Ziguo Zhong, Yu Gu-capacitor as the only energy storage unit. To efficiently use the harvested energy, we design and imple- ment leakage-aware con- trol can effectively utilize energy that could otherwise leak away. Nodes running leakage-aware

  20. 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

  1. Demo Abstract: Debugging Wireless Sensor Network Simulations with YETI and COOJA

    E-Print Network [OSTI]

    Demo Abstract: Debugging Wireless Sensor Network Simulations with YETI and COOJA Richard Huber. INTRODUCTION Developing and debugging applications for wireless sensor networks is know to be cumbersome sensor networks is a time consuming and error prone task, which possibly includes many iterations

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

    E-Print Network [OSTI]

    Maróti, Miklós

    1 Simulation-based optimization of communication protocols for large-scale wireless sensor networks--The design of reliable, dynamic, fault-tolerant services in wireless sensor networks is a big challenge everyday life more comfortable, e.g. Intelligent Spaces [3]. These sensor networks often use distributed

  3. Simulations of Wireless Sensor Networks: A ZhongYi Jin, Rajesh Gupta

    E-Print Network [OSTI]

    Gupta, Rajesh

    Simulations of Wireless Sensor Networks: A Survey Zhong­Yi Jin, Rajesh Gupta Computer Science the future research directions of wireless sensor network simu­ lators. A copy of this technical report can tools for the design, implementation and evaluation of sensor networks and have been the subject

  4. 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]

    Patwari, Neal

    sensor networks in a wide variety of applications. Low-power wireless sensors may be many hops away from) measurements in wireless sensor networks. Wideband and ultra-wideband (UWB) measurements, and RF and acoustic Dramatic advances in RF and MEMS IC design have made possible the use of large networks of wireless sensors

  5. Energy-aware Geographic Forwarding of Prioritized Messages in Wireless Sensor Networks

    E-Print Network [OSTI]

    Marques, Antonio Garcia

    Energy-aware Geographic Forwarding of Prioritized Messages in Wireless Sensor Networks Roc-- Energy is a valuable resource in wireless sensor networks since it constitutes a limiting factor for the network lifetime. In order to make an efficient use of its own energy resources, each node in the network

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

    E-Print Network [OSTI]

    Chen, Yu

    Malicious Node Detection in Wireless Sensor Networks using Weighted Trust Evaluation Idris M Tokyo 169-8555, Japan zhousu@asagi.waseda.jp Keywords: Wireless sensor networks, network security through compromised nodes. However, it is challenging to secure the flat topology networks efficiently

  7. Abstract -In wireless sensor networks where deployment is expected to surpass the lifetime of batteries, a major part of

    E-Print Network [OSTI]

    Sreenan, Cormac J.

    Abstract - In wireless sensor networks where deployment is expected to surpass the lifetime propose a maintenance model to explain sources of maintenance costs in wireless sensor networks. We also. Keywords - Sensor networks, maintenance, routing, GPSR. I. INTRODUCTION AND MOTIVATION Wireless sensor

  8. 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

  9. The impact of Wireless Sensor Networks on the society, industry and everyday life by is forecasted

    E-Print Network [OSTI]

    Flener, Pierre

    , senso- rics, antennas, wireless communication, microwave technologies, energy harvesting, computer and generate energy, · make sensor networks self-configuring, robust and maintenance-free up to 10 years

  10. 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

  11. A survey on wireless multimedia sensor networks Ian F. Akyildiz *, Tommaso Melodia, Kaushik R. Chowdhury

    E-Print Network [OSTI]

    Melodia, Tommaso

    A survey on wireless multimedia sensor networks Ian F. Akyildiz *, Tommaso Melodia, Kaushik R- less Multimedia Sensor Networks (WMSNs), i.e., networks of wirelessly interconnected devices that are able to ubiqui- tously retrieve multimedia content such as video and audio streams, still images

  12. On Power Control for Wireless Sensor Networks: System Model, Middleware Component and Experimental Evaluation

    E-Print Network [OSTI]

    Johansson, Karl Henrik

    On Power Control for Wireless Sensor Networks: System Model, Middleware Component and Experimental: Power Control, Wireless Sensor Networks, Networked Embedded Systems. I. INTRODUCTION The design be applied due to low signal bandwidths in the control loop, highly nonlinear and uncertain system models

  13. A Biologically Inspired Networking Model for Wireless Sensor Networks 

    E-Print Network [OSTI]

    Charalambous, Charalambos

    2011-02-22T23:59:59.000Z

    in sensor nodes demand energy-aware network control. In this thesis, we propose an energy- efficient topology management model inspired by biological inter-cellular signaling schemes. The model allows sensor nodes to cluster around imminent targets in a...

  14. Capstone Course: Wireless Sensor Networks Experiment ADC: Sensing and Analog-to-Digital Conversion

    E-Print Network [OSTI]

    muse Capstone Course: Wireless Sensor Networks Experiment ADC: Sensing and Analog-to-Digital Conversion Objectives 1. Get familiar with the CLIO wireless sensor node development platform. 2. See how Wireless Development Tool with two-row 18-pin female header attached to the bottom and with each of the 18

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

    SciTech Connect (OSTI)

    Yi Jia

    2011-02-28T23:59:59.000Z

    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.

  16. 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

  17. Improving wireless network performance using sensor hints

    E-Print Network [OSTI]

    Sivalingam, Lenin Ravindranath

    2010-01-01T23:59:59.000Z

    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 ...

  18. Time Scales in Probabilistic Models of Wireless Sensor Networks

    E-Print Network [OSTI]

    Anatoly Manita

    2013-02-28T23:59:59.000Z

    We consider a stochastic model of clock synchronization in a wireless network consisting of N sensors interacting with one dedicated accurate time server. For large N we find an estimate of the final time sychronization error for global and relative synchronization. Main results concern a behavior of the network on different time scales $t=t_N \\to \\infty$, $N \\to \\infty$. We discuss existence of phase transitions and find exact time scales on which an effective clock synchronization of the system takes place.

  19. Design Considerations for a Wireless Sensor Network for Locating Parking Spaces Vamsee K. Boda, Asis Nasipuri, and Ivan Howitt

    E-Print Network [OSTI]

    Nasipuri, Asis

    Design Considerations for a Wireless Sensor Network for Locating Parking Spaces Vamsee K. Boda the design of a real time parking space locating system using a network of wireless sensor nodes and implementation considerations for a wireless sensor network that can track available parking spaces in public

  20. iPower: An Energy Conservation System for Intelligent Buildings by Wireless Sensor Networks

    E-Print Network [OSTI]

    Tseng, Yu-Chee

    iPower: An Energy Conservation System for Intelligent Buildings by Wireless Sensor Networks Yu-aware capability of WSN to achieve energy conservation in intelligent buildings is an attractive direction. We therefore propose an intelligent and personalized energy-conservation system by wireless sensor networks (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@lbl.gov www.lbl.gov #12;Wireless Sensor Network for Improving the Energy Efficiency

  2. 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

  3. Bounds on the Energy Consumption of Routings in Wireless Sensor Networks

    E-Print Network [OSTI]

    Voigt, Thiemo

    Bounds on the Energy Consumption of Routings in Wireless Sensor Networks Juan Alonso1 , Adam. Energy is one of the most important resources in wireless sensor networks. We use an idealized mathematical model to study the impact of routing on energy consumption. We find explicit bounds on the minimal

  4. 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

  5. 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

  6. 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

  7. 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

  8. Wireless Sensor Networks in Smart Structural Technologies

    E-Print Network [OSTI]

    Stanford University

    of wireless devices can impede real-time operations as required by control or monitoring systems. In addition monitoring (SHM) system measures structural responses and predicts, identifies, and locates the onset and technical challenges. Besides the desire for portable long- lasting energy sources, such as batteries

  9. Opportunities to Save Energy and Improve Comfort by Using Wireless Sensor Networks in Buildings 

    E-Print Network [OSTI]

    Wang, D.; Arens, E.; Federspiel, C.

    2003-01-01T23:59:59.000Z

    This paper discusses how intensive information technology can affect future building operation. Recent breakthroughs in wireless sensor network technology will permit 1) highly flexible location of sensors, 2) increased sensing density and variety...

  10. Models and Solution Approaches for Efficient Design and Operation of Wireless Sensor Networks

    E-Print Network [OSTI]

    Lin, Hui 1981-

    2010-11-11T23:59:59.000Z

    Recent advancements in sensory devices are presenting various opportunities for widespread applications of wireless sensor networks (WSNs). The most distinguishing characteristic of a WSN is the fact that its sensors have nite and non...

  11. 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

  12. 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

  13. 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

  14. 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

  15. Demo Abstract: Signal Reconstruction with SubNyquist Sampling using Wireless Sensor Networks

    E-Print Network [OSTI]

    Gutierrez-Osuna, Ricardo

    Demo Abstract: Signal Reconstruction with SubNyquist Sampling using Wireless Sensor Networks Andria for sensor networks is an emerging class of application that can offer significant safety and util- ity sensor network may assist in the detection of living vic- tims trapped in collapsed buildings. As a step

  16. Wireless Sensor Network for Advanced Energy Management Solutions

    SciTech Connect (OSTI)

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

    2009-09-23T23:59:59.000Z

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

  17. CPS : Small : Dynamically Managing the Real-time Fabric of a Wireless Sensor-Actuator Network

    E-Print Network [OSTI]

    Lemmon, Michael

    CPS : Small : Dynamically Managing the Real-time Fabric of a Wireless Sensor-Actuator Network 1 as a multi-player game between applications (users) that is essentially a network utility maximization (NUM

  18. Wireless Sensor Network for Electric Transmission Line Monitoring

    SciTech Connect (OSTI)

    Alphenaar, Bruce

    2009-06-30T23:59:59.000Z

    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)

  19. Wireless sensor networks and environmental monitoring applications

    E-Print Network [OSTI]

    Le Borgne, Yann-AĂ«l

    by the Human Resources and Mobility program of the European community (MEST-CT-2004-505079) #12;ULB Machine Radio: 4kbps, 180m Sensors: Light and accelerometer Energy: Solar powered Golem and deputy dust 16mm3 ­ Remote or non invasive monitoring ·... #12;Solbosch greenhouses ·Greenhouses used by different research

  20. 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

  1. Precise Time Synchronization for Wireless Sensor Networks using the

    E-Print Network [OSTI]

    of Information Technology and Electrical Engineering January 2010 #12;#12;Abstract For sensor networks a wide to the needs of data gathering, the main applica- tion of sensor networks. Sensor data is often useless

  2. Capstone Course: Wireless Sensor Networks Experiment for WCC: Channel and Antenna Characterization

    E-Print Network [OSTI]

    muse Capstone Course: Wireless Sensor Networks Experiment for WCC: Channel and Antenna running, and modify it to produce more useful restuls. 5. Explore the characteristics of wireless running Windows (XP or Vista) · TI eZ430-RF2500 MSP430 Wireless Development Tool · TI's CCS integrated

  3. Reducing Uncertainty in Wireless Sensor Networks

    E-Print Network [OSTI]

    -free way to inspect a deployed network. · Energy-efficient probabilistic MAC protocols are inadequate-free schedule-based MAC protocols can handle traffic bursts well and be made energy-efficient, too. #12;5 Main sequence number in "hello" beacons send by link estimator · Premise: ­ Sequence numbers are increasing

  4. Seluge: Secure and DoS-Resistant Code Dissemination in Wireless Sensor Networks

    E-Print Network [OSTI]

    Ning, Peng

    named Seluge for wireless sensor networks. Sel- uge is a secure extension to Deluge, an open source integrates the security mechanisms and the Deluge efficient propaga- tion strategies. Besides the theoretical using the ad-hoc wireless net- work formed by the sensor nodes. In particular, Deluge [13] uses

  5. Secure emergency medical architecture on the cloud using wireless sensor networks for emergency

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    the greatest success in medical appli- cations. Recent advances in medical sensors, wireless tech- nologiesSecure emergency medical architecture on the cloud using wireless sensor networks for emergency in the cyphertext itself. This makes ABE good solution to provide a fine-grained access control for medical

  6. 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

  7. 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

  8. 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

  9. 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

  10. INSENS: Intrusion-tolerant routing for wireless sensor networks Jing Deng*, Richard Han, Shivakant Mishra

    E-Print Network [OSTI]

    Han, Richard Y.

    to evaluate the cost incurred. q 2005 Published by Elsevier B.V. Keywords: Sensor network; Security; Intrusion an INtrusion-tolerant routing protocol for wireless SEnsor NetworkS (INSENS). INSENS securely and efficiently, accommodates multipath routing to multiple base stations, enables secure joining/leaving, and incorporates

  11. 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

  12. Application-Based Collision Avoidance in Wireless Sensor Networks Thanos Stathopoulos

    E-Print Network [OSTI]

    Heidemann, John

    - tional burden to the already energy constrained system. In this paper, we present an application by a factor of 8 and the energy consump- tion by up to 50%. 1. Introduction Wireless sensor networks consist radio communication, the largest source of energy drain. In general, collisions on wireless networks can

  13. 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

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

    E-Print Network [OSTI]

    Hari, Piyush

    2006-01-01T23:59:59.000Z

    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 ...

  15. CERIAS Tech Report 2007-04 SECURITY IN WIRELESS SENSOR NETWORKS -A LAYER BASED CLASSIFICATION

    E-Print Network [OSTI]

    Liblit, Ben

    and communicational capabilities. Secondly, there is an additional risk of physical attacks such as node captureCERIAS Tech Report 2007-04 SECURITY IN WIRELESS SENSOR NETWORKS - A LAYER BASED CLASSIFICATION

  16. Development of an Event Detection System Based on a Wireless Sensor Network 

    E-Print Network [OSTI]

    Bermingham, Louise

    2011-08-10T23:59:59.000Z

    The focus of this research is to develop an event detection system for groundwater flooding. The groundwater monitoring infrastructure is based on a Wireless Sensor Network, which can often lead to corrupted data values. The event detection system...

  17. An energy-efficient communication system for ad hoc wireless and sensor networks

    E-Print Network [OSTI]

    Tetteh, William Nii Adjetey

    2007-01-01T23:59:59.000Z

    Existing ad hoc wireless and sensor network systems often trade off energy against performance. As such, it is hard to find a single deployable system that supports high data rates while maintaining energy-efficient ...

  18. 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)

    2009-06-16T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

    Cox, Landon

    [3]. Energy is the critical resource in sensor nodes because they are battery powered and replacing batteries in these environments is expensive, difficult, or even dangerous. Typically, wireless statistics can provide a more complete characterization of the distribution of sensor readings than max, min

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

    E-Print Network [OSTI]

    Nasipuri, Asis

    EPIC-RoofNet: An Experimental Testbed for Solar-powered Wireless Sensor Networks Amitangshu Pal experiments on solar-powered sensor nodes. Due to constraints in cost and size, the solar panels of solar energy available at such solar-powered sensor nodes can be highly unpredictable and at times

  1. 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

  2. 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

  3. 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

  4. A WIRELESS SENSOR NETWORK SYSTEM DEPLOYMENT FOR DETECTING STICK SLIP MOTION IN GLACIERS

    E-Print Network [OSTI]

    Southampton, University of

    A WIRELESS SENSOR NETWORK SYSTEM DEPLOYMENT FOR DETECTING STICK SLIP MOTION IN GLACIERS K. Martinez, jhart@soton.ac.uk Keywords: Glaciers, Environmental sensor networks Abstract The behaviour of glaciers The current understanding of how glaciers and ice sheets respond to climate change is extremely limited

  5. Modeling the Performance and the Energy Usage of Wireless Sensor Networks by Retrial Queueing Systems

    E-Print Network [OSTI]

    Sztrik, János

    Modeling the Performance and the Energy Usage of Wireless Sensor Networks by Retrial Queueing and the energy usage of the sensor network. Two operations are compared. In the first case only the event driven requests can initiate reaching the radio trans- mission (RF) unit. Time driven requests have to wait

  6. A Scalable Approach for Reliable Downstream Data Delivery in Wireless Sensor Networks

    E-Print Network [OSTI]

    Sivakumar, Raghupathy

    based simulations, we evaluate the proposed framework. Categories and Subject Descriptors C.2 the spe- cific application the sensor network is used for. Consider a security application where imageA Scalable Approach for Reliable Downstream Data Delivery in Wireless Sensor Networks Seung

  7. Efficient network camouflaging in wireless networks 

    E-Print Network [OSTI]

    Jiang, Shu

    2006-04-12T23:59:59.000Z

    when protected networks are wireless networks, such as sensor networks and mobile ad hoc networks. The reason is that wireless networks are typically subject to resource constraints (e.g. bandwidth, power supply) and possess some unique characteristics...

  8. A Transactional Framework for Programming Wireless Sensor/Actor Networks Murat Demirbas

    E-Print Network [OSTI]

    Demirbas, Murat

    physical tech- nology for WSANs [33]. The research on WSN program- ming methologies are not readilyA Transactional Framework for Programming Wireless Sensor/Actor Networks Murat Demirbas Department execution over multiple threads dis- tributed on several nodes. By exploiting the properties of wireless

  9. 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

  10. Security Schemes for Wireless Sensor Networks with Mobile Sink 

    E-Print Network [OSTI]

    Rasheed, Amar Adnan

    2011-08-08T23:59:59.000Z

    components for the secure operation of such networks. Due to the sensors, limited resources designing efficient security schemes with low communication overhead to secure communication links between sensors and MS (Mobile Sink) is not a trivial task...

  11. Demonstration of damage with a wireless sensor network

    SciTech Connect (OSTI)

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

    2001-01-01T23:59:59.000Z

    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. Toward Resilient Security in Wireless Sensor Networks # Hao Yang # , Fan Ye + , Yuan Yuan # , Songwu Lu # , William Arbaugh #

    E-Print Network [OSTI]

    Lu, Songwu

    networks, location­based security, resiliency, node compromise, en­route filtering, key distributionToward Resilient Security in Wireless Sensor Networks # Hao Yang # , Fan Ye + , Yuan Yuan@us.ibm.com {yuanyuan,waa}@cs.umd.edu ABSTRACT Node compromise poses severe security threats in wireless sensor networks

  13. 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

  14. Energy Evaluation of PMCMTP for Large-Scale Wireless Sensor Networks

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    slots inside each Personal Area Network (PAN)), · Energy balancing and saving to prolong networkEnergy Evaluation of PMCMTP for Large-Scale Wireless Sensor Networks Jamila Ben Slimane, Ye-Qiong Song, Anis Koub^aa§¶ and Mounir Frikha Sup'Com-MEDIATRON, City of Communication Technologies, 2083

  15. Rendezvous Design Algorithms for Wireless Sensor Networks with a Mobile Base Station

    E-Print Network [OSTI]

    of controlled mobil- ity and in-network data caching and can achieve a desirable balance between network energy; Tian Wang; Weijia Jia; Minming Li Deptment of Computer Science, City University of Hong Kong 83 Tat that significant energy saving can be achieved in wireless sensor networks with a mobile base station that collects

  16. 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

  17. 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

  18. Distributed Dynamic Clustering Algorithm in Uneven Distributed Wireless Sensor Network

    E-Print Network [OSTI]

    the sensor networks energy efficient [3][4][5]. This helps to increase the lifetime of the sensor nodes and energy efficient routing has been presented in recent research literature [1]-[16]. In [1] an intelligent energy efficient de- ployment algorithm for cluster based WSNs is described, in which the sensor node

  19. ENERGY EFFICIENT ROUTING IN WIRELESS SENSOR NETWORKS Curt Schurgers

    E-Print Network [OSTI]

    Shihada, Basem

    the integration of communications, sensors and signal processing all together in one low-cost package. It is now feasible to fabricate ultra-small sensor nodes that can be scattered on the battlefield to gather strategic towards localized algorithms [1][2]. Due to the large number of sensors, network-scale interaction

  20. APAWSAN: Actor Positioning for Aerial Wireless Sensor and Actor Networks

    E-Print Network [OSTI]

    Turgut, Damla

    to be autonomous during deployment. The recent advances in development of small unmanned aerial vehicles (UAVs stations can improve network performance measures such as energy consumption and traffic load balancing vehicles (UAVs) with built in sensors made it possible to deploy aerial sensor and actor networks

  1. Secure and DoS-Resistant Code Dissemination in Wireless Sensor Networks Using Seluge (Demo Abstract)

    E-Print Network [OSTI]

    Ning, Peng

    the ad-hoc wireless net- work formed by the sensor nodes. In particular, Deluge [5] uses an epidemic- agation of code images. Deluge is generally accepted as the state of the art for code dissemination sensor networks [3, 4, 8], which are all extensions to Deluge [5]. Unfortunately, all these approaches

  2. Understanding optimal data gathering in the energy and latency domains of a wireless sensor network

    E-Print Network [OSTI]

    Melodia, Tommaso

    of city districts. In typical applications, sensors monitor their neighboring area, extract informationUnderstanding optimal data gathering in the energy and latency domains of a wireless sensor network Telekommunikation Wien (ftw.), Donau City Strae 1, 1220 Wien, Austria Received 14 October 2005; received in revised

  3. 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

  4. An Integral Flow-Based Energy-Efficient Routing Algorithm for Wireless Sensor Networks

    E-Print Network [OSTI]

    Prakash, Ravi

    An Integral Flow-Based Energy-Efficient Routing Algorithm for Wireless Sensor Networks Shashidhar. As sensor nodes are energy-constrained, energy-efficient routing is essential for increasing the lifetime. In this paper, we consider static base stations and propose an algorithmic approach to obtain integral energy-efficient

  5. LIU, AN. Security Mechanisms for Protecting Foundational Services in Wireless Sensor Networks. (Under the direction of Dr. Peng Ning and Dr. Cliff Wang.)

    E-Print Network [OSTI]

    Ning, Peng

    four studies on securing wireless sensor networks. The first study designs, implements, and evaluates and protect the epidemic image management in wireless sensor networks, and implements a lightweight and secure available solution for secure code dissemination in wireless sensor networks. Both third and fourth studies

  6. PerformanceEvaluation of Adaptiveand Energy-efficient MAC Protocolsfor WirelessSensor Networks Torsten Braun, Philipp Hurni

    E-Print Network [OSTI]

    Braun, Torsten

    PerformanceEvaluation of Adaptiveand Energy-efficient MAC Protocolsfor WirelessSensor Networks Bern, Switzerland braun@iam.unibe.ch, hurni@iam.unibe.ch Abstract The paper describes an energy-efficient schemes. Keywords: Wireless Sensor Networks, Energy-efficient Protocols, MediumAccessControl I

  7. Cross-Layer Design for Energy Conservation in Wireless Sensor Networks

    E-Print Network [OSTI]

    Boutaba, Raouf

    Cross-Layer Design for Energy Conservation in Wireless Sensor Networks Fatma Bouabdallah, Nizar allows significant energy conservation. On the other hand, at the MAC layer, we propose to control limit for each link, further energy conservation can be achieved, improving thus the network lifetime

  8. Transmission channel Sensitive Multi-Metric Routing for Wireless Sensor Networks

    E-Print Network [OSTI]

    Beigl, Michael

    Transmission channel Sensitive Multi-Metric Routing for Wireless Sensor Networks Behnam Banitalebi and provide more flexibility. Depending on the network objectives and characteristics, various parameters like realistic hop cost model including transmission loss, and energy storage and relay traffic of the nodes. Two

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

    E-Print Network [OSTI]

    New South Wales, University of

    a reactor for a bottom-up control of the chemical synthesis with the ultimate goal of improvingSelf-Powered Wireless Nano-scale Sensor Networks within Chemical Reactors Eisa Zarepour1 Mahbub networks (NSNs) can be applied in many chemical applications to monitor and control the chemical process

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

    E-Print Network [OSTI]

    Bustamante, Fabián E.

    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

  11. 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,turgut,lboloni}@cpe.ucf.edu Abstract. In this paper, we propose a novel, cluster-based energy balancing scheme. We assume the existence significant improvements in energy balancing leading to a longer con- nected time of the network

  12. 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

  13. 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

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

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

    Derr, Kurt; Manic, Milos

    2015-01-01T23:59:59.000Z

    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

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

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

    Derr, Kurt; Manic, Milos

    2015-01-01T23:59:59.000Z

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

  16. 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

  17. 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

  18. Reconfigurable Wireless Interface for Networking Sensors (ReWINS)

    E-Print Network [OSTI]

    California at Los Angeles, University of

    , Rajit Gadh {harish, bsp, gadh}@wireless.ucla.edu Wireless Internet for the Mobile Enterprise Consortium

  19. Coverage and Connectivity Aware Neural Network Based Energy Efficient Routing in Wireless Sensor Networks

    E-Print Network [OSTI]

    ,; Kumar, Manoj; Patel, R B; 10.5121/jgraphhoc.2010.2105

    2010-01-01T23:59:59.000Z

    There are many challenges when designing and deploying wireless sensor networks (WSNs). One of the key challenges is how to make full use of the limited energy to prolong the lifetime of the network, because energy is a valuable resource in WSNs. The status of energy consumption should be continuously monitored after network deployment. In this paper, we propose coverage and connectivity aware neural network based energy efficient routing in WSN with the objective of maximizing the network lifetime. In the proposed scheme, the problem is formulated as linear programming (LP) with coverage and connectivity aware constraints. Cluster head selection is proposed using adaptive learning in neural networks followed by coverage and connectivity aware routing with data transmission. The proposed scheme is compared with existing schemes with respect to the parameters such as number of alive nodes, packet delivery fraction, and node residual energy. The simulation results show that the proposed scheme can be used in wi...

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

    E-Print Network [OSTI]

    Choi, Dae H.

    2010-01-16T23:59:59.000Z

    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 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...

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

    E-Print Network [OSTI]

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

    2010-01-01T23:59:59.000Z

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

  2. Temporal Privacy in Wireless Sensor Networks: Theory and Practice

    E-Print Network [OSTI]

    Xu, Wenyuan

    with knowledge of the network deployment, routing algorithms, and the base-station (data sink) location can infer that effectively manages these tradeoffs. Finally, we evaluate our privacy enhancement strategies using simulations, Measurement, Performance, Theory Additional Key Words and Phrases: Sensor networks, privacy, security

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

    E-Print Network [OSTI]

    Mukhopadhyay, Shoubhik

    2009-01-01T23:59:59.000Z

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

  4. Wireless Sensor Network, 2009, 1, 467-474 doi:10.4236/wsn.2009.15056 Published Online December 2009 (http://www.scirp.org/journal/wsn).

    E-Print Network [OSTI]

    Huang, Changcheng

    network (SensorSim) proposed by Park [5], all the above men- tioned general-purpose network simulatorsWireless Sensor Network, 2009, 1, 467-474 doi:10.4236/wsn.2009.15056 Published Online December 2009 for Wireless Sensor Networks Haiming CHEN1,2 , Li CUI1* , Changcheng HUANG3 , He ZHU1,2 1 Institute

  5. Energy Aware Self-Organizing Density Management in Wireless Sensor Networks

    E-Print Network [OSTI]

    Merrer, Erwan Le; Kermarrec, Anne-Marie; Viana, Aline; Bertier, Marin

    2008-01-01T23:59:59.000Z

    Energy consumption is the most important factor that determines sensor node lifetime. The optimization of wireless sensor network lifetime targets not only the reduction of energy consumption of a single sensor node but also the extension of the entire network lifetime. We propose a simple and adaptive energy-conserving topology management scheme, called SAND (Self-Organizing Active Node Density). SAND is fully decentralized and relies on a distributed probing approach and on the redundancy resolution of sensors for energy optimizations, while preserving the data forwarding and sensing capabilities of the network. We present the SAND's algorithm, its analysis of convergence, and simulation results. Simulation results show that, though slightly increasing path lengths from sensor to sink nodes, the proposed scheme improves significantly the network lifetime for different neighborhood densities degrees, while preserving both sensing and routing fidelity.

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

    E-Print Network [OSTI]

    Xue, Xin

    2009-01-01T23:59:59.000Z

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

  7. Context-aware computing for wireless networks

    E-Print Network [OSTI]

    Ergüt, Salih

    2010-01-01T23:59:59.000Z

    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. [

  8. Energy Aware Efficient Geographic Routing in Lossy Wireless Sensor Networks with

    E-Print Network [OSTI]

    Hou, Y. Thomas

    1 Energy Aware Efficient Geographic Routing in Lossy Wireless Sensor Networks with Environmental, GREES-L and GREES-M, which combine geographic routing and energy efficient routing techniques and take supply when making routing decisions. Simulation results show that GREESs are more energy efficient than

  9. Poster Abstract: Energy-Efficient Distributed Support Vector Machines for Wireless Sensor Networks

    E-Print Network [OSTI]

    Tsakalides, Panagiotis

    Poster Abstract: Energy-Efficient Distributed Support Vector Machines for Wireless Sensor Networks of interest. In this paper, we present two energy-efficient algorithms to perform distributed incremental centralized SVM training methods, while being much more efficient in terms of energy cost. 1. INTRODUCTION One

  10. Lightweight Remote Image Management for Secure Code Dissemination in Wireless Sensor Networks

    E-Print Network [OSTI]

    Ning, Peng

    , all as security extensions to the state-of-the- art code dissemination system named Deluge. However with Seluge, a security extension to Deluge for injecting new code images. We perform a substantial set], [12], [15], [21], [23], [24] have been proposed for wireless sensor networks. Deluge [12] is generally

  11. Seluge: Secure and DoS-Resistant Code Dissemination in Wireless Sensor Networks

    E-Print Network [OSTI]

    Young, R. Michael

    Seluge for wireless sensor networks. Seluge is a secure extension to Deluge, an open source, state by Deluge, Seluge provides security protections for code dissemination, including the integrity protection, possible authentication delays, and the epi- demic propagation strategies used by Deluge. Seluge

  12. Message-Efficient Byzantine Fault-Tolerant Broadcast in a Multi-Hop Wireless Sensor Network

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Message-Efficient Byzantine Fault-Tolerant Broadcast in a Multi-Hop Wireless Sensor Network Marin-marie.kermarrec, gtan}@irisa.fr Abstract We consider message-efficient broadcast tolerating Byzantine faults in a multi, and a single neighborhood contains at most t dishonest and collision-capable (bad) nodes, each with a message

  13. Development of a Wireless Sensor Network for Monitoring a Bioreactor Landfill Asis Nasipuri,1

    E-Print Network [OSTI]

    Nasipuri, Asis

    1 Development of a Wireless Sensor Network for Monitoring a Bioreactor Landfill Asis Nasipuri,1 (704) 687 6953; email: vogunro@uncc.edu Abstract Recent studies of aerobic bioreactors have of the temperature and moisture in the bioreactor. This work presents the development and implementation

  14. Mapping SysML to Modelica to Validate Wireless Sensor Networks Non-Functional Requirements

    E-Print Network [OSTI]

    Boyer, Edmond

    Mapping SysML to Modelica to Validate Wireless Sensor Networks Non-Functional Requirements SamirML) and the Modelica language which promote the reusability and improve the development process. In this work, we elements in Modelica. Thanks to the SysML requirement diagram which is transformed into Modelica properties

  15. A Constant Gain Kalman Filter Approach to target tracking in Wireless Sensor Networks

    E-Print Network [OSTI]

    Naik, Naren

    A Constant Gain Kalman Filter Approach to target tracking in Wireless Sensor Networks Ashwin Yadav1 domains. One of the most fundamen- tal and widely used approaches to target tracking is the Kalman filter. In presence of unknown noise statistics there are difficulties in the Kalman filter yielding good results

  16. 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

  17. 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

  18. Empirical Analysis of Transmission Power Control Algorithms for Wireless Sensor Networks

    E-Print Network [OSTI]

    Culler, David E.

    Empirical Analysis of Transmission Power Control Algorithms for Wireless Sensor Networks Jaein power control, but the experimental platforms and the workloads did not reflect the reality of WSNs. We present a dynamic transmission-power-control algorithm based on previous studies and evaluate

  19. Inverse Modeling Using a Wireless Sensor Network (WSN) for Personalized Daylight Harvesting

    E-Print Network [OSTI]

    Agogino, Alice M.

    Inverse Modeling Using a Wireless Sensor Network (WSN) for Personalized Daylight Harvesting Ryan: predictive: daylight harvesting: piecewise linear regression: building energy efficiency Abstract: Smart light levels, discretized by sub-hourly sun angles. Applied on two days of daylight and ten days

  20. 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

  1. 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

  2. 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

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

    E-Print Network [OSTI]

    Sikdar, Biplab

    , the probability of event loss due to energy run out as well as an analytical vulnerability metric, namely average state as well as the remaining energy supply of the node, we provide an analysis of the Loss ProbabilityModeling and Analysis of Energy Harvesting Nodes in Wireless Sensor Networks Alireza Seyedi

  4. CONSENSUS-BASED K-MEANS ALGORITHM FOR DISTRIBUTED LEARNING USING WIRELESS SENSOR NETWORKS

    E-Print Network [OSTI]

    Pleite, Alfonso Cano

    CONSENSUS-BASED K-MEANS ALGORITHM FOR DISTRIBUTED LEARNING USING WIRELESS SENSOR NETWORKS Pedro A centralized clustering ap- proaches impractical. This paper develops two decentralized k-means algorithms that distributed k- means are less sensitive to initialization than their centralized counterparts resulting

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

    E-Print Network [OSTI]

    Culler, David E.

    design guidelines for micro-solar power systems. Keywords-- Micro-Solar Power Systems, Solar Energy Har of the four components of a micro- solar power system models various design choices. Based on this modelDesign and Analysis of Micro-Solar Power Systems for Wireless Sensor Networks Jaein Jeong, Xiaofan

  6. 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

  7. 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

  8. Damage detection on a full-scale highway sign structure with a distributed wireless sensor network

    E-Print Network [OSTI]

    Lu, Chenyang

    Damage detection on a full-scale highway sign structure with a distributed wireless sensor network highway sign support structure to investigate the ability to use vibration response data to detect damage induced in the structure. A multi-level damage detection strategy is employed for this structure

  9. 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§ Dept. of Computer Science Dept. of Mathematics and Statistics §Advanced Cerametrics, Inc. Texas Tech an electrical energy from various environmental sources, called energy harvesting (or energy scavenging), has

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

    E-Print Network [OSTI]

    California at Davis, University of

    {kzeng, wjlou, kren}@wpi.edu AirSprite Technologies, Inc., Northborough, MA 01532 pmoran (regularly doubled every 18 months), battery technology has been relatively unchanged for many years. EnergyENERGY-EFFICIENT GEOGRAPHIC ROUTING IN ENVIRONMENTALLY POWERED WIRELESS SENSOR NETWORKS Kai Zeng

  11. PowerNap: An Energy Efficient MAC Layer for Random Routing in Wireless Sensor Networks

    E-Print Network [OSTI]

    Shihada, Basem

    Technologies, Inc. 1 Telcordia Dr., Piscataway, NJ sami@research.telcordia.com Murat Demirbas Dept. of ComputerPowerNap: An Energy Efficient MAC Layer for Random Routing in Wireless Sensor Networks Onur Soysal Google, Inc. 1600 Amphitheatre Pkwy., Mountain View, CA onursoysal@google.com Sami Ayyorgun Telcordia

  12. 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-han.kimn@sdstate.edu Hyeoungwoo Kim Advanced Cerametrics, Inc. Lambertville, NJ 08530 hyeoungwookim@advanced- cerametrics.com Abstract-- Extracting an electrical energy from various environmental sources, called energy harvesting (or

  13. Bounds on the Energy Consumption of Routings in Wireless Sensor Networks

    E-Print Network [OSTI]

    Bounds on the Energy Consumption of Routings in Wireless Sensor Networks Juan Alonso1 , Adam Technical Report T2003:22 ISSN 1100-3154 ISRN:SICS-T­2003/22-SE Abstract. Energy is one of the most of routing on energy consumption. Our results are very general and, within the assumptions listed in Section

  14. RMC: An Energy-Aware Cross-Layer Data-Gathering Protocol for Wireless Sensor Networks

    E-Print Network [OSTI]

    Viglas, Anastasios

    . They are typically designed for hostile environments, where recharging a node is impractical. Thus, energy efficiency, NSW 2006, Australia. {kalmiani, selvakennedy, tasos }@it.usyd.edu.au Abstract Wireless sensor networks as determined by the application, where the gathered data are typically used to capture and build a profile

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

    E-Print Network [OSTI]

    Picco, Gian Pietro

    panels. I. INTRODUCTION The market value of wireless sensor networks (WSNs) is growing steadily problem. Indeed, in many cases the energy density--whether solar, wind, vibrational or thermal in nature the influence of given environmental parameters, and finally to observe the WSN behavior over extended periods

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

    SciTech Connect (OSTI)

    Carlos H. Rentel

    2007-03-31T23:59:59.000Z

    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.

  17. 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|wagen|braun|dolfus@iam.unibe.ch Abstract--Low latency for packet delivery, high throughput, good reactivity, and energy-efficient operation that optimizations for energy-efficiency and performance parameters are contradicting, most MAC protocols proposed

  18. Error Control Coding in Low-Power Wireless Sensor Networks: When is ECC

    E-Print Network [OSTI]

    Howard, Sheryl

    Error Control Coding in Low-Power Wireless Sensor Networks: When is ECC Energy-Efficient? Sheryl L. Interference is not considered; it would lower dCR. Analog decoders are shown to be the most energy-efficient at the decoder outweighs the transmitted power savings due to using ECC, then ECC would not be energy-efficient

  19. PW-MAC: An Energy-Efficient Predictive-Wakeup MAC Protocol for Wireless Sensor Networks

    E-Print Network [OSTI]

    Shihada, Basem

    PW-MAC: An Energy-Efficient Predictive-Wakeup MAC Protocol for Wireless Sensor Networks Lei Tang-MAC (Predictive-Wakeup MAC), a new energy-efficient MAC protocol based on asyn- chronous duty cycling. In PW it to X-MAC, WiseMAC, and RI-MAC, three previous energy-efficient MAC protocols, under multiple concurrent

  20. RMAC: A Routing-Enhanced Duty-Cycle MAC Protocol for Wireless Sensor Networks

    E-Print Network [OSTI]

    Riedi, Rudolf H.

    inefficient and wastes significant energy. To mitigate this energy consumption of idle listening, duty Saha David B. Johnson Department of Computer Science, Rice University, Houston, TX, USA Abstract--Duty-cycle MAC protocols have been proposed to meet the demanding energy requirements of wireless sensor networks

  1. 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

  2. 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

  3. Detecting Selective Forwarding Attacks in Wireless Sensor Networks using Support Vector Machines

    E-Print Network [OSTI]

    Shilton, Alistair

    concerning energy . In this article, we propose a centralized intrusion detection scheme based on SupportDetecting Selective Forwarding Attacks in Wireless Sensor Networks using Support Vector Machines Vector Machines (SVMs) and sliding windows. We find that our system can detect black hole attacks

  4. Energy-aware Georouting with Guaranteed Delivery in Wireless Sensor Networks with

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Energy-aware Georouting with Guaranteed Delivery in Wireless Sensor Networks with Obstacles E. H Sad, Serbia 1 essia@cs.ucr.edu, 2 {mitton,simplot-Ryl}@lifl.fr, 3 bogprs@gmail.com July 3, 2009 that is energy-efficient and guarantees delivery. To forward a packet, a node s in graph G computes the cost

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

    E-Print Network [OSTI]

    Ahvar, Ehsan; Piran, Mohammad Jalil

    2011-01-01T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

    Xue, Xin

    2009-01-01T23:59:59.000Z

    5.7: Wireless sensor installation photo (a) accelerometer (5.7 Wireless sensor installation photo (a) accelerometer (b)set up (a) Photo (b) Diagram (b) Sensor: Three vibration

  7. 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 of functionality and network lifetime. Minimization of energy consumption by applying optimization techniques setup. Application driven profiling of energy consumption at the node level is a useful tool for optimal

  8. Online Calibration of Path Loss Exponent in Wireless Sensor Networks

    E-Print Network [OSTI]

    Mao, Guoqiang

    Australia Limited[1], Sydney, Australia §National ICT Australia Limited, Canberra, Australia Abstract power measurements and the geometric constraints associated with planarity in a sensor network. This may[dBm] is the received power at a receiving node j from a transmitting node i in dB milliwatts, Pij[dBm] is the mean

  9. 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

  10. Cross-Layer Interactions in IP Wireless Sensor Networks

    E-Print Network [OSTI]

    Ingrand, François

    for sensing applications n Environmental Sensing n low cost wireless communications n Home and building

  11. Abstract--We identify the security threats facing a sensor network for wireless medical monitoring, and we propose a

    E-Print Network [OSTI]

    Wang, Lan

    1 Abstract--We identify the security threats facing a sensor network for wireless medical of medical sensors that convey information on his or her vital signs to a bedside monitoring device. However mobility, especially for long-term care. Recent advances in sensor technology have enabled the development

  12. 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

  13. A wireless, low power, asynchronous, multi-sensor, temperature network

    E-Print Network [OSTI]

    Levy, Daniel M. G. H. (Daniel Matthew Guy Ho), 1979-

    2003-01-01T23:59:59.000Z

    Wireless communication is not new. Radio and television broadcasting, as well as air traffic control have used wireless signals in their products for decades. The transmitters for these applications require large antennas ...

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

    E-Print Network [OSTI]

    Zilic, Zeljko

    programming. The increasingly essential FLASH memory is tested by a March-type algorithm implemented in energyEnergy Efficient Software-Based Self-Test for Wireless Sensor Network Nodes Rong Zhang, Zeljko@ece.concordia.ca Abstract We consider self-testing of complete wireless nodes in the field through a low-energy software

  15. Development of a Portable Wireless Sensor Network to Enhance Post-Occupancy Commissioning

    E-Print Network [OSTI]

    Noye,S.; North,R.; Fisk, D.

    2014-01-01T23:59:59.000Z

    -site Commissioning • Balancing • Setting to work • Compliance • Health and safety ESL-IC-14-09-22a Proceedings of the 14th International Conference for Enhanced Building Operations, Beijing, China, September 14-17, 2014 8Systems deliver comfort at low energy cost... 1 Development of a Portable Wireless Sensor Network to Enhance Post-Occupancy Commissioning Sarah Noye1 PhD candidate Dr. Robin North Lecturer Prof. David Fisk Professor Laing O’Rourke Centre for System Engineering and Innovation...

  16. 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

  17. Development of a Portable Wireless Sensor Network to Enhance Post-Occupancy Commissioning 

    E-Print Network [OSTI]

    Noye,S.; North,R.; Fisk, D.

    2014-01-01T23:59:59.000Z

    -cost data for pop-up monitoring™ • Initial characterisation test on low power sensors show suitable accuracy and the ability to detect relevant building properties for commissioning • Deployment on major project this autumn Thank you for your attention... on the availability of a low-cost set of appropriate data. This paper presents the initial development phase of a pop-up monitoringTM toolkit using a wireless sensor network system to perform commissioning during the initial year of occupation of a building...

  18. 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

  19. On the robustness of clustered sensor networks 

    E-Print Network [OSTI]

    Cho, Jung Jin

    2009-05-15T23:59:59.000Z

    Smart devices with multiple on-board sensors, networked through wired or wireless links, are distributed in physical systems and environments. Broad applications of such sensor networks include manufacturing quality control and wireless sensor...

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

    E-Print Network [OSTI]

    Johansson, Karl Henrik

    . Following this trend, several vendors are introducing devices that communicate over low-power wireless and the §National Science Foun- dation award 0834771. adjust heating, ventilation and air conditioning (HVAC

  1. Link Quality Metrics in Large Scale Indoor Wireless Sensor Networks

    E-Print Network [OSTI]

    Boyer, Edmond

    ^ut ´energ´etique de cette estimation et de ses cons´equences sur la stabilit´e des routes construites sur (WSN) 1 Introduction Much research has considered the problem of characterizing wireless links

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

    E-Print Network [OSTI]

    Bystroff, Chris

    of physical attacks to unattended sensors. Moreover, in some deployment sce- narios sensor nodes need, Computer Science Department, Lally 310, 110 8th Street, Troy, NY 12180-3590. Technical Report TR-05

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

    E-Print Network [OSTI]

    Bystroff, Chris

    of physical attacks to unattended sensors. Moreover, in some deployment sce­ narios sensor nodes need, Computer Science Department, Lally 310, 110 8th Street, Troy, NY 12180­3590. Technical Report TR­05

  4. On Perimeter Coverage in Wireless Sensor Networks with Minimum Cost

    E-Print Network [OSTI]

    Tam, Vincent W. L.

    , and asset tracking [1], [2]. In monitoring applications, small battery-powered sensor nodes are deployed of the white house so as to ensure its security. Each sensor is associated with a cost. To reduce the total

  5. 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

  6. Magic of Numbers in Networks of Wireless Image Sensors

    E-Print Network [OSTI]

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

    2006-01-01T23:59:59.000Z

    is the emphasis on low-power battery-operated devices [3].Oncases, a large number of low- power battery-operated sensors

  7. 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

  8. 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

  9. Rendezvous Planning in Mobility-assisted Wireless Sensor Networks Guoliang Xing; Tian Wang; Zhihui Xie; Weijia Jia

    E-Print Network [OSTI]

    without trav- eling long distances, which can achieve a desirable balance between network energy saving Xie; Weijia Jia Department of Computer Science City University of Hong Kong 83 Tat Chee Ave., Kowloon that significant energy saving can be achieved in wireless sensor networks by using mo- bile elements (MEs) capable

  10. 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

  11. Parameter assignment for improved connectivity and security in randomly deployed wireless sensor networks via hybrid omni/uni-directional antennas

    E-Print Network [OSTI]

    Shankar, Sonu

    2009-05-15T23:59:59.000Z

    ,omni-directional antennas have been used for communication in wireless sensor net-works. In this thesis, a hybrid communication model is presented where-in, nodes ina network are capable of both omni-directional and uni-directional communication.The eect of such a model...

  12. 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

  13. 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

    2011-01-28T23:59:59.000Z

    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.

  14. Loss-Resilient Proactive Data Transmission in Wireless Sensor Networks

    E-Print Network [OSTI]

    Xu, Jianliang

    environments. Moreover, sensor nodes are con- strained by energy, computation power and storage. Existing to the destination without loss. However, existing reliable transmission techniques either are too costly forecast, structural condition assessment) require reliable data communications, such that a target

  15. 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

  16. Design & implementation of a wireless sensor prototyping kit

    E-Print Network [OSTI]

    Hope, Jamison Roger

    2005-01-01T23:59:59.000Z

    In recent years, wireless sensor networks (WSN) has become an active area of research among computer scientists. In this work, JONA, a prototyping kit for wireless sensors, will be described. The intention of this kit is ...

  17. 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

    2012-01-01T23:59:59.000Z

    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

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

    E-Print Network [OSTI]

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

    2006-01-01T23:59:59.000Z

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

  19. Backbone Discovery In Thick Wireless Linear Sensor Networks

    E-Print Network [OSTI]

    Wu, Jie

    , lower energy consumption, as well as larger storage and communication capacities. In addition and provided a classification and motivation for designing networking protocols that can take advantage, energy consumption, and network lifetime. In this paper, we provide a topology discovery protocol

  20. Wireless Sensor Network Architecture for Smart Venkata Reddy Adama

    E-Print Network [OSTI]

    . Within a smart building many sensors and actuators are interconnected to form a control system. Nowadays cost savings for real-estate owners. Nowadays, energy use in buildings is responsible for roughly 40 in the field of material science led to an improved energy efficiency of the building envelope, a lot of energy

  1. 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

  2. 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

  3. Approximate Querying in Wireless Sensor Networks Yuzhen Liu Weifa Liang

    E-Print Network [OSTI]

    Liang, Weifa

    of queries in such a database efficiently and effectively. To reduce the energy consumption in sensor Science Australian National University Canberra, ACT 0200, Australia Abstract-In this paper, we study. We build a series of nearly optimal representative routing trees for query evaluation, where

  4. An Adaptive Coordinated Medium Access Control for Wireless Sensor Networks

    E-Print Network [OSTI]

    Turgut, Damla

    , Damla Turgut Electrical and Computer Engineering University of Central Florida Orlando, FL 32816 Email the adaptive duty cycle scheme within the framework of sensor-MAC (S-MAC). The novelty of our protocol latency and throughput are always trying to follow the classic IEEE 802.11 MAC (no duty cycle), which

  5. DEVELOPMENT OFA RELIABLE WIRELESS GNSS SENSOR NETWORK Fabio Casciati1

    E-Print Network [OSTI]

    Boyer, Edmond

    , 96100 Siracusa, Italy 3 Institute of Micro/Nano Devices and Solar Cell, College of Physics from Texas Instrument. The network features low cost, low power, mesh topology, high reliability

  6. Predictive Protocol Management with Contingency Planning for Wireless Sensor Networks

    E-Print Network [OSTI]

    Raja, Anita

    characteristics of the Radio-Frequency (RF) in which the network operates. I. INTRODUCTION Energy efficiency protocol model with contingency planning (PPM & CP). The premise behind the approach is that providing

  7. Distributed Scalable Network Association in Wireless Sensor Networks Hyung-Sin Kim, Jin-Seok Han, Jae-Seok Bang, and Yong-Hwan Lee

    E-Print Network [OSTI]

    Bahk, Saewoong

    @snu.ac.kr Abstract--Wireless sensor networks (WSNs) need to employ a network association mechanism that can securely centralized and broadcasting based network association mechanisms may consume large energy, and distributed of the proposed scheme is evaluated by computer simulation, showing remarkable performance improvement over

  8. Routing algorithms for large scale wireless sensor networks

    E-Print Network [OSTI]

    Nittala Venkata, Lakshmana Prasanth

    2005-02-17T23:59:59.000Z

    Horizontal-Vertical method instead of the existing Servetto method. In the dynamic network scenario, we compare the performance of routing strategies with respect to probability of failure of nodes in the grid network. We derived the formulae for the success.../Average Load Ratio. ........................ 39 15 Load on 10 ? 10 Grid Using Horizontal-Vertical Method Variant-1 . 40 ix FIGURE Page 16 Load on 10 ? 10 Grid Using Horizontal-Vertical Method Variant-2 . 41 17 Load on 10 ? 10 Grid Using Horizontal...

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

    SciTech Connect (OSTI)

    Carols H. Rentel

    2007-03-31T23:59:59.000Z

    Eaton, in partnership with Oak Ridge National Laboratory and the Electric Power Research Institute (EPRI) has completed a project that applies a combination of wireless sensor network (WSN) technology, anticipatory theory, and a near-term value proposition based on diagnostics and process uptime to ensure the security and reliability of critical electrical power infrastructure. Representatives of several Eaton business units have been engaged to ensure a viable commercialization plan. Tennessee Valley Authority (TVA), American Electric Power (AEP), PEPCO, and Commonwealth Edison were recruited as partners to confirm and refine the requirements definition from the perspective of the utilities that actually operate the facilities to be protected. Those utilities have cooperated with on-site field tests as the project proceeds. Accomplishments of this project included: (1) the design, modeling, and simulation of the anticipatory wireless sensor network (A-WSN) that will be used to gather field information for the anticipatory application, (2) the design and implementation of hardware and software prototypes for laboratory and field experimentation, (3) stack and application integration, (4) develop installation and test plan, and (5) refinement of the commercialization plan.

  10. Typhoon: A Reliable Data Dissemination Protocol for Wireless Sensor Networks

    E-Print Network [OSTI]

    Amir, Yair

    and energy consumption by up to three times compared to Deluge. These improvements are most prominent of these factors on the protocol's behavior. Moreover, we compare Typhoon's performance to that of Deluge--the de times faster than Deluge in sparse and lossy networks. This paper has five sections. We summarize

  11. Resilient Event Detection in Wireless Sensor Networks Angelika Herbold1

    E-Print Network [OSTI]

    Bulusu, Nirupama

    , Nirupama Bulusu3 and Sanjay Jha4 1 Western Washington University, USA 2 ENSEIRB, France 3 Systems Software University of New South Wales, Australia and National ICT Australia Limited, Randwick, Australia herbola2@cc between nodes is loss prone and a major energy consumer[4], and the networks are tightly coupled

  12. 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

  13. Lightweight Protocol Suite for Wireless Sensor Networks: Design and Evaluation

    E-Print Network [OSTI]

    Huang, Changcheng

    , China Graduate School of the Chinese Academy of Sciences, Beijing, 100049, China E-mail: {chenhaiming phenomena [1]. Forecasting its wide application in both civilian and industrial fields, more and more are on the networking issues and energy consumption problems. To date, lots of efficient protocols have been proposed

  14. CodeBlue: Wireless Sensor Networks for Emergency Medical Care

    E-Print Network [OSTI]

    Malan, David J.

    , and link quality · High-risk patients receive higher network service level Distributed Data Collection mobile patient monitoring iRevive: Mobile Patient Care Record · PDA-based Patient Care Record software · Dynamic route discovery · Prioritize path for critical patients · Security · Adaptive energy conservation

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

    E-Print Network [OSTI]

    Sen, Jaydip

    2012-01-01T23:59:59.000Z

    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...

  16. Energy Efficiency in Wireless Sensor Networks: a top-down survey Tifenn Rault, Abdelmadjid Bouabdallah, Yacine Challal

    E-Print Network [OSTI]

    Boyer, Edmond

    propose a new classification of energy-efficient mechanisms which in- tegrates the most recent techniquesEnergy Efficiency in Wireless Sensor Networks: a top-down survey Tifenn Rault, Abdelmadjid present a new classification of energy-conservation schemes found in the recent literature, followed

  17. 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

  18. 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 efficiency and spectral efficiency, further improvement due to the transmit diversity of space-time block especially for non-trivial spectral efficiency. These observations are further confirmed in our analysis

  19. Undergraduate Project: Implementing a Graphical User Interface for Real-Time Wireless Sensor Network Control and Data Visualization

    E-Print Network [OSTI]

    will be tasked with designing, implementing, and testing a graphical user interface (GUI) to control a customUndergraduate Project: Implementing a Graphical User Interface for Real-Time Wireless Sensor Network Control and Data Visualization Marc J. Rubin and Tracy Camp In this project, the undergraduate

  20. Energy-Efficient Data Aggregation Hierarchy for Wireless Sensor Networks Yuanzhu Peter Chen Arthur L. Liestman Jiangchuan Liu

    E-Print Network [OSTI]

    Chen, Yuanzhu Peter

    Energy-Efficient Data Aggregation Hierarchy for Wireless Sensor Networks Yuanzhu Peter Chen Arthur study single-level aggregation and propose an Energy-Efficient Protocol for Aggregator Selec- tion (EPAS). Then, we generalize it to an aggregation hier- archy and extend EPAS to a Hierarchical Energy-Efficient

  1. 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

  2. A Multi-Channel DS-CDMA Media Access Control Protocol for Wireless Sensor Networks

    E-Print Network [OSTI]

    New South Wales, University of

    in sensor network design. This may lead to sensor network MAC protocols which prioritize energy savings over are transmit- ted in the network, our system consumes only 10% of communication energy than the contention, on-board energy, with location awareness and organized in an ad hoc multi-hop network. Sensors

  3. 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 ...

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

    E-Print Network [OSTI]

    Kam, Clement

    2010-01-01T23:59:59.000Z

    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

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

    E-Print Network [OSTI]

    Taylor, Christopher J. (Christopher Jorgen)

    2005-01-01T23:59:59.000Z

    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 ...

  6. 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

    2011-01-01T23:59:59.000Z

    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...

  7. 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

  8. An energy efficient RF transceiver for wireless microsensor networks

    E-Print Network [OSTI]

    Daly, Denis Clarke

    2005-01-01T23:59:59.000Z

    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 ...

  9. 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 trends in the com- ing decades [1] has posed numerous unique challenges to researchers. These networks

  10. 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

  11. 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

  12. 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

  13. Wireless passive radiation sensor

    DOE Patents [OSTI]

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

    2013-12-03T23:59:59.000Z

    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.

  14. Wireless Sensor Network, 2010, 2, 441-446 doi:10.4236/wsn.2010.26055 Published Online June 2010 (http://www.SciRP.org/journal/wsn)

    E-Print Network [OSTI]

    Kuzmanov, Georgi

    (http://www.SciRP.org/journal/wsn) Copyright © 2010 SciRes. WSN Practical Considerations for Wireless and envisaged applications in Wireless Sensor Networks (WSNs). The WSN community that has formed over the years is divided into two sub-communities: the systems sub-community and the theory sub-community. However

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

    SciTech Connect (OSTI)

    Farinholt, Kevin M [Los Alamos National Laboratory; Taylor, Stuart G [Los Alamos National Laboratory; Park, Gyuhae [Los Alamos National Laboratory; Farrar, Charles R [Los Alamos National Laboratory

    2010-01-01T23:59:59.000Z

    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.

  16. CSMAC: A Novel DS-CDMA Based MAC Protocol for Wireless Sensor Networks

    E-Print Network [OSTI]

    Bulusu, Nirupama

    MAC protocols for sensor networks such as S-MAC [10] primarily prioritize energy efficiency over for sensor networks such as SMAC [10] primarily prioritize energy efficiency over reducing network latency latency. Our protocol design balances the considerations of energy efficiency, latency, accuracy

  17. 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 ...

  18. Temperature Control Framework Using Wireless Sensor Networks and Geostatistical Analysis for Total Spatial Awareness

    E-Print Network [OSTI]

    Fan, Jeffrey

    cooling and heating mechanisms in buildings at every location for improved user comfort. Keywords ­ Smart presents a novel framework for intelligent temperature control in smart homes using Wireless Sensor Analysis; Classical Variography; Ordinary Point Kriging I. INTRODUCTION Research involving smart homes has

  19. Opportunities of Wireless Sensors and Controls for Building Operation

    SciTech Connect (OSTI)

    Kintner-Meyer, Michael CW

    2004-09-30T23:59:59.000Z

    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.

  20. Analysis of Power-Aware Buffering Schemes in Wireless Sensor Networks

    E-Print Network [OSTI]

    Chen, Shigang

    problem in battery-powered sensor networks, focusing on the fixed-size and fixed-interval buffering parameters of radio module and memory bank, data arrival rate, and data-size variation, thereby providing operational requirement of battery-powered sensor networks [

  1. 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.

    2010-01-01T23:59:59.000Z

    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 heads tomore »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 onk-means algorithm.« less

  2. QEMPAR: QoS and Energy Aware Multi-Path Routing Algorithm for Real-Time Applications in Wireless Sensor Networks

    E-Print Network [OSTI]

    Heikalabad, Saeed Rasouli; Nematy, Farhad; Rahmani, Naeim

    2011-01-01T23:59:59.000Z

    Enabling real time applications in wireless sensor networks requires certain delay and bandwidth which pose more challenges in the design of routing protocols. The algorithm that is used for packet routing in such applications should be able to establish a tradeoff between end to end delay parameter and energy consumption. In this paper, we propose a new multi path routing algorithm for real time applications in wireless sensor networks namely QEMPAR which is QoS aware and can increase the network lifetime. Simulation results show that the proposed algorithm is more efficient than previous algorithms in providing quality of service requirements of real-time applications.

  3. A measurement-based analysis of the interaction among MAC, network and application layers in wireless sensor networks

    E-Print Network [OSTI]

    Malesci, Umberto

    2005-01-01T23:59:59.000Z

    There have been a number of recent proposals for link and network-layer protocols in the sensor networking literature, each of which claims to be superior to other approaches. However, a proposal for a networking protocol ...

  4. 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 wireless networksOutline: Control over wireless networks · Motivating examples · Benefits and barriersMotivation for control over wireless networkscontrol over wireless networks · Wireless industrial automation

  5. 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

    2007-01-01T23:59:59.000Z

    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.

  6. Energy Aware Node Selection for Cluster-based Data Accuracy Estimation in Wireless Sensor Networks

    E-Print Network [OSTI]

    Karjee, Jyotirmoy

    2011-01-01T23:59:59.000Z

    The main objective of this paper is to reduce the number of sensor nodes by estimating a trade off between data accuracy and energy consumption for selecting nodes in probabilistic approach in distributed networks. Design Procedure/Approach: Observed data are highly correlated among sensor nodes in the spatial domain due to deployment of high density of sensor nodes. These sensor nodes form non-overlapping distributed clusters due to high data correlation among them. We develop a probabilistic model for each distributed cluster to perform data accuracy and energy consumption model in the network. Finally we find a trade off between data accuracy and energy consumption model to select an optimal number of sensor nodes in each distributed cluster. We also compare the performance for our data accuracy estimation model with information accuracy model for each distributed cluster in the network. Practical Implementation: Measuring temperature in physical environment and measuring moisture content in agricultural f...

  7. 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

  8. Calibrating Wireless Sensor Network Simulation Models with Real-World Experiments

    E-Print Network [OSTI]

    Braun, Torsten

    ,braun}@iam.unibe.ch Abstract. This paper studies the energy-efficiency and service charac- teristics of a recently developed energy-efficient MAC protocol for wire- less sensor networks in simulation and on a real sensor hardware level of detail. In this paper we analyze the energy-efficiency and service characteristics

  9. Wireless Non-contact EEG/ECG Electrodes for Body Sensor Networks

    E-Print Network [OSTI]

    Cauwenberghs, Gert

    transmits EEG/ECG telemetry to a computer for storage and processing. Index Terms--ECG, EEG, Body Sensor indicators that are directly suited for long-term monitoring using body sensor networks. Yet despite compliance. As an alternative, dry electrodes [1] [2] have started becoming much more common-place. However

  10. Application-Aware Resource Management in Wireless and Visual Sensor Networks

    E-Print Network [OSTI]

    Heinzelman, Wendi

    , Serbia from 1994 to 2000, where she earned the Dipl.-Ing. degree in 2000 from the Department factors of the sensor nodes, such as their finite energy supplies and their moderate process- ing of the communication overhead. In order to provide balanced energy consumption in clustered sensor networks, we

  11. 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

  12. 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

  13. Applications of Industrial Wireless Sensor Milan Erdelj

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    ...................................... 10 1.3.2.2 Hazard ........................................ 10 1.3.2.3 Security manuscript, published in "Industrial Wireless Sensor Networks: Applications, Protocols, and Standards CRC the problems of air, water (together with waste water) pollution, but covers the production material pollution

  14. Signal Compression in Wireless Sensor By Marco F. Duarte1

    E-Print Network [OSTI]

    sensor networks (WSNs) has been motivated by important applications such as climate change tracking is an important tool for reducing the communication costs and increasing the lifetime of wireless sensor network communication rate could be achieved. This, however, would require communication between the sensors or prior

  15. 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)

    2008-06-10T23:59:59.000Z

    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.

  16. Survivability Considerations in Wireless Networks

    E-Print Network [OSTI]

    Ning, Jianxia

    2012-01-01T23:59:59.000Z

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

  17. acoustic wave sensors: Topics by E-print Network

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

    acoustic wave devices can be used as wireless sensor elements (SAW transponders Zachmann, Gabriel 30 Underwater Acoustic Sensor Networks: Research Challenges CiteSeer...

  18. acoustic wave sensor: Topics by E-print Network

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

    acoustic wave devices can be used as wireless sensor elements (SAW transponders Zachmann, Gabriel 30 Underwater Acoustic Sensor Networks: Research Challenges CiteSeer...

  19. Challenges and Solutions for Location-based Routing in Wireless Sensor Networks with Complex Network Topology

    E-Print Network [OSTI]

    Won, Myounggyu

    2013-07-17T23:59:59.000Z

    Complex Network Topologies (CNTs)–network holes and cuts–often occur in practical WSN deployments. Many researchers have acknowledged that CNTs adversely affect the performance of location-based routing and proposed various CNT- aware location...

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

    E-Print Network [OSTI]

    Mlaih, Esam

    2008-01-01T23:59:59.000Z

    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...

  1. Localized Pipeline Encroachment Detector System Using Sensor Network

    E-Print Network [OSTI]

    Ou, Xiaoxi 1986-

    2011-08-08T23:59:59.000Z

    NOMENCLATURE WSN Wireless Sensor Network ROW Right of Way WIFI Wireless Fidelity PC Personal Computer LED Light Emitting Diode USB Universal Serial Bus IEEE Institute of Electrical and Electronics Engineers A/D Analog to Digital WPAN Wireless...

  2. 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

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

    E-Print Network [OSTI]

    Qiao, Daji

    networks. In this paper, we design such a system, build a proof-of-concept proto- type, conduct experiments, little work has been reported on designing and implementing a wire- less charging system for sensor and design pa- rameters have also been studied, which may serve as useful guidelines in actual deployment

  4. DAPR: A Protocol for Wireless Sensor Networks Utilizing an Application-based Routing Cost

    E-Print Network [OSTI]

    Heinzelman, Wendi

    and architectures have been proposed to maintain network connectivity and adequate coverage quality while minimizing the drain on the scarce energy resources of the sensor nodes. In this paper, we propose DAPR, an integrated others because of limited neighborhood redundancy, we introduce a new routing metric -- an "application

  5. A survey on routing protocols for wireless sensor networks Kemal Akkaya *, Mohamed Younis

    E-Print Network [OSTI]

    Chen, Yuanzhu Peter

    in micro-electro-mechanical systems and low power and highly integrated dig- ital electronics have led led to many new protocols specifically designed for sensor net- works where energy awareness contemporary methodologies such as network flow and quality of service modeling are also discussed. The paper

  6. Distributed Optimal Self-Organisation in a Class of Wireless Sensor Networks

    E-Print Network [OSTI]

    Kumar, Anurag

    attempt rate. We consider a simple random access model for sensor networks and formulate these problems as optimisation problems. We then present centralized as well as distributed algorithms for solving them. Results approach will also be energy efficient as compared to mere data dissemination since it will avoid energy

  7. Dealing with Faults in Wireless Sensor Networks Lilia Paradis and Qi Han

    E-Print Network [OSTI]

    and Computer Sciences Colorado School of Mines, Golden, CO 80401 {lparadis,qhan}@mines.edu February 1, 2007 School of Mines, Golden, CO 80401. Tel: 303-273-3849. Fax: 303-273-3875. Email: qhan@mines.edu. 1 #12 also discuss several interesting open research directions. keywords: sensor networks, fault management

  8. A framework for solving the configuration problem in Wireless Sensor Networks

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    and the transmission range assignment. Regarding the objectives of the problem, we first intend to minimize the overall the sensors. Previously, we discussed this problem for the linear network. Herein, we consider a two such that the above objectives are met. A framework, based on the dynamic programming algorithm, is proposed to solve

  9. On Relay Nodes Deployment for Distributed Detection in Wireless Sensor Networks

    E-Print Network [OSTI]

    Liu, K. J. Ray

    Engineering, Alexandria University, Alexandria 21544, Egypt. and Institute for Systems Research kseddik considered the use of relaying to improve the energy-efficiency of the sensor network. The work in [8] also proposed a consensus protocol and analyzed its energy consumption if cooperation is present to improve

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

    E-Print Network [OSTI]

    Chen, Fred (Fred Fu-Chin)

    2011-01-01T23:59:59.000Z

    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 ...

  12. On the Network Lifetime of Wireless Sensor Networks Under Optimal Power Control

    E-Print Network [OSTI]

    Nasipuri, Asis

    significantly reduces energy wastage by utilizing sleep cycles of the radio. In such networks, overhearing causes significant energy losses, especially if the network density is high. Our calculations demonstrate are powered by fixed energy resources such as a battery, and consequently, their utility is limited

  13. Distributed Estimation in Sensor Networks with Modeling Uncertainty

    E-Print Network [OSTI]

    Zhou, Qing

    2013-05-07T23:59:59.000Z

    A major issue in distributed wireless sensor networks (WSNs) is the design of efficient distributed algorithms for network-wide dissemination of information acquired by individual sensors, where each sensor, by itself, is unable to access enough...

  14. Network coded wireless architecture

    E-Print Network [OSTI]

    Katti, Sachin Rajsekhar

    2008-01-01T23:59:59.000Z

    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 ...

  15. Prolonging Network Lifetime Through the Use of Mobile Base Station in Wireless Sensor Networks

    E-Print Network [OSTI]

    Liang, Weifa

    , and transmitting ca- pabilities, that are powered by small batteries. Therefore energy efficiency in the design University Canberra, ACT, 0200, Australia oday.jerew@anu.edu.au Weifa Liang Department of Computer Science, Australia wliang@cs.anu.edu.au ABSTRACT Prolonging network lifetime is one of the most important design

  16. 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

  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

    2010-01-01T23:59:59.000Z

    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. Epidemic Propagation In Overlaid Wireless Networks

    SciTech Connect (OSTI)

    Yanmaz, Evsen [Los Alamos National Laboratory

    2008-01-01T23:59:59.000Z

    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.

  19. Reliable Data Delivery in Event-Driven Wireless Sensor Networks Hari Rangarajan J. J. Garcia-Luna-Aceves

    E-Print Network [OSTI]

    California at Santa Cruz, University of

    . We present a protocol for ef- ficient and reliable data delivery to all sensor nodes in an energy-constrained devices are being used for environmental monitoring [9], and tracking and monitoring of entities in office buildings and factory fields [2]. In these applications, it may be necessary for all wireless sensors to act

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

    E-Print Network [OSTI]

    Steck, Jamie Bradley

    2009-01-01T23:59:59.000Z

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

  1. Topology Control in Wireless Ad Hoc and Sensor PAOLO SANTI

    E-Print Network [OSTI]

    Chen, Yuanzhu Peter

    - works to reduce energy consumption, which is essential to extend the network operational time. The goal, with the purpose of maintaining some global graph property (e.g., connectivity) while reducing energy consumption and Phrases: Connectivity, Energy consumption, Sensor networks, Topol- ogy control, Wireless ad hoc networks 1

  2. A spatial-temporal imputation technique for classification with missing data in a wireless sensor network

    E-Print Network [OSTI]

    Parker, Lynne E.

    -- for example, the use of seismic sensors (i.e., "unattended ground sensors") for the purpose of detecting

  3. Special Issue "Underwater Sensor Nodes and Underwater Sensor Networks" A special issue of Sensors (ISSN 1424-8220)

    E-Print Network [OSTI]

    Chen, Min

    aquatic environments. Marine surveillance, pollution detection and monitoring, and oceanographic data (salinity, conductivity, turbidity, pH, oxygen, temperature, depth, etc.) - Sediments and pollution sensor nodes - Acoustic sensors - Underwater sensor network architectures - Wired and wireless protocols

  4. A framework for cooperative localization in ultra-wideband wireless networks

    E-Print Network [OSTI]

    Lien, Jaime

    2007-01-01T23:59:59.000Z

    Location-aware technologies have the potential to revolutionize computing, cellular services, sensor networks, and many other commercial, military, and social applications. In wireless networks, accurate information about ...

  5. Video transmission over wireless networks 

    E-Print Network [OSTI]

    Zhao, Shengjie

    2005-08-29T23:59:59.000Z

    Compressed video bitstream transmissions over wireless networks are addressed in this work. We first consider error control and power allocation for transmitting wireless video over CDMA networks in conjunction with multiuser detection. We map a...

  6. Video transmission over wireless networks

    E-Print Network [OSTI]

    Zhao, Shengjie

    2005-08-29T23:59:59.000Z

    Compressed video bitstream transmissions over wireless networks are addressed in this work. We first consider error control and power allocation for transmitting wireless video over CDMA networks in conjunction with multiuser detection. We map a...

  7. Efficient Online/Offline Identity-Based Signature for Wireless Sensor Network

    E-Print Network [OSTI]

    . For example [24], in radiological facilities where sensors collect data on radioactive levels of nuclear power

  8. A Line in the Sand: A Wireless Sensor Network for Target

    E-Print Network [OSTI]

    Kulkarni, Sandeep

    White program [3]. Unattended ground sensors (UGS) exist today that can detect, classify, and determine

  9. Automated Intruder Tracking using Particle Filtering and a Network of Binary Motion Sensors

    E-Print Network [OSTI]

    Goldberg, Ken

    infrared (PIR) motion sensors that suggest that our estimator is effective and degrades gracefully with increasing sensor refractory periods. Index Terms - Security, Sensor Networks, Particle Filter, Tracking, Sensor Fusion. I. INTRODUCTION Many new technologies for automated security, wireless networks

  10. 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

  11. Application of Multizone HVAC Control Using Wireless Sensor Networks and Actuating Vent Registers

    E-Print Network [OSTI]

    Watts, W.; Koplow, M.; Redfern, A.; Wright, P.

    2007-01-01T23:59:59.000Z

    on an embedded server, and temperature sensors that were distributed throughout the house. The residence is divided into four Control Zones. Zone 1 contains the downstairs living, dining, and kitchen area. Zone 2 contains the bathrooms and laundry... radiation. The temperature and humidity sensors are manufactured by Sensirion, models SH11 and SH15. The light sensors consist of a thermally sensitive radiation sensor (TSR) and a photosynthetic active radiation sensor, manufactured by Hamamatsu...

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

    E-Print Network [OSTI]

    Halgamuge, Malka N.

    , lighting, cooling, humidity levels and ventilation systems in a building using the electronic devicesProgress In Electromagnetics Research M, Vol. 37, 11­20, 2014 Energy Optimized Wireless Sensor. INTRODUCTION Building Automation System (BAS) challenges to monitor and have automatic control of the security

  13. 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

  14. 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

  15. Self-Triggered Control for Industrial Wireless Sensor and Actuator Networks

    E-Print Network [OSTI]

    Johansson, Karl Henrik

    . Following this trend, several vendors are introducing devices that communicate over low-power wireless are deployed to adjust heating, ventilation and air conditioning (HVAC) and illumination. And in particular

  16. Real-Time damage localization by means of MEMS sensors and use of wireless data transmission

    E-Print Network [OSTI]

    Shinozuka, Masanobu

    Real-Time damage localization by means of MEMS sensors and use of wireless data transmission such as water delivery networks are damaged, it is critical to pinpoint the location of the damage, to assess the extent of the damage, and to mitigate the damage in real-time. We propose a wireless sensor network

  17. Published in IET Wireless Sensor Systems Received on 24th May 2012

    E-Print Network [OSTI]

    Atkinson, Robert C

    of Wireless Sensor Network and Communication, SIMIT, Shanghai, People's Republic of China 3 Department of fixed copper wires has obvious advantages. Wireless sensor networks (WSNs) offer the data collection required, which is particularly important for engine testing and instrumentation applications. In order

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

    E-Print Network [OSTI]

    standards. In this paper, we present a web services-based approach to integrate resource constrained sensor service discovery. For this purpose, we imple- mented an API to access services on sensor nodes follow

  19. Network coding for robust wireless networks

    E-Print Network [OSTI]

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

    2012-01-01T23:59:59.000Z

    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 ...

  20. 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

  1. Adaptive Scheduling in Ad Hoc and Cellular Wireless Networks

    E-Print Network [OSTI]

    Tan, Choo Chin

    2013-01-01T23:59:59.000Z

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

  2. Probabilistic Methods for Routing in Wireless Sensor Networks Master degree subject

    E-Print Network [OSTI]

    Altisen, Karine

    to interferences and crash failures due to the low-power batteries of sensors. The structure of a WSN is highly

  3. Poster Abstract: Selective Gossiping for SVM Training in Wireless Sensor Networks

    E-Print Network [OSTI]

    Tsakalides, Panagiotis

    energy efficient, distributed selec- tive gossip algorithms train SVMs equally well with energy that can perform tasks with low energy consumption poses some interesting signal processing challenges that Support Vector Machines (SVMs) provide for the decision boundaries, to perform classification in wireless

  4. Efficient Strategies for Collecting Data from Wireless Sensor Network Nodes using Mobile

    E-Print Network [OSTI]

    Isler, Ibrahim Volkan

    solutions to the following problems. (i) From the static node's perspective: given the stochastic nature the robot's perspective: given the stochastic nature of the wireless link quality, what is an energy nodes also act as relays. In certain applications, the underlying environment is very large and sam

  5. Power Conservation in the Network Stack of Wireless Sensors Michael De Rosa

    E-Print Network [OSTI]

    Goldstein, Seth Copen

    , energy efficient design, network protocols #12;Table of Contents Introduction 1 Hardware 1 Software 2

  6. Experimental Analysis of Coordination Strategies to Support Wireless Sensor Networks Composed by

    E-Print Network [OSTI]

    Wagner, Flávio Rech

    in relation to energy consumption, and, due to this fact, algorithms to coordinate these systems are generally strategies; unmanned aerial vehicle ­carried sensors; area surveillance. I. INTRODUCTION A number of studies or in fixed places and sensors that are carried by mobile autonomous robots like platforms. These platforms

  7. A Mesh-based Robust Topology Discovery Algorithm for Hybrid Wireless Networks

    E-Print Network [OSTI]

    Birman, Kenneth P.

    A Mesh-based Robust Topology Discovery Algorithm for Hybrid Wireless Networks Ranveer CHANDRA˘ @research.att.com Abstract Wireless networks in home, office and sensor applications consist of nodes by a wireline network. Topology information of the wireless network at these powerful nodes can be used

  8. Energy efficiency in wireless networks

    E-Print Network [OSTI]

    Jung, Eun-Sun

    2005-11-01T23:59:59.000Z

    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...

  9. Energy efficiency in wireless networks 

    E-Print Network [OSTI]

    Jung, Eun-Sun

    2005-11-01T23:59:59.000Z

    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 ...

  10. New advances in designing energy efficient time synchronization schemes for wireless sensor networks

    E-Print Network [OSTI]

    Noh, Kyoung Lae

    2009-05-15T23:59:59.000Z

    presents significant energy saving. Finally, this dissertation introduces a novel adaptive time synchronization protocol, named the Adaptive Multi-hop Timing Synchronization (AMTS). According to the current network status, AMTS optimizes crucial network...

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

    E-Print Network [OSTI]

    Kam, Clement

    2010-01-01T23:59:59.000Z

    energy efficiency are most applicable. To summarize the differences between types of networks, we present a classification

  13. Optimal Stochastic Routing in Low Duty-Cycled Wireless Sensor Networks

    E-Print Network [OSTI]

    Liu, Mingyan

    and not easily renewable. As a result, energy efficient design of such networks at all levels, from material

  14. Opportunities to Save Energy and Improve Comfort by Using Wireless Sensor Networks in Buildings

    E-Print Network [OSTI]

    Wang, D.; Arens, E.; Federspiel, C.

    2003-01-01T23:59:59.000Z

    of sensor types informing more comprehensive control systems, 3) occupants' involvement in control loops, 4) demand responsive electricity management, 5) integration among now-separate building systems, and 6) the adoption of mixed-mode and other new types...

  15. Collaborative Data Gathering in Wireless Sensor Networks using Measurement Co-Occurrence

    E-Print Network [OSTI]

    Kalpakis, Konstantinos

    activity of many WSN applica- tions. We focus on applications in which each sensor con- tinuously monitors the targets of interests in a field, and the base station is interested in getting every (discrete enumer

  16. An Adaptive Routing Mechanism For Ad Hoc Wireless Sensor Jane E Tateson and Ian W Marshall, BTexact

    E-Print Network [OSTI]

    Haddadi, Hamed

    An Adaptive Routing Mechanism For Ad Hoc Wireless Sensor Networks Jane E Tateson and Ian W Marshall for a network of ad hoc wireless sensor nodes. The mechanism enables sensor nodes to minimize route cost by varying their transmission range, and by experimenting with the neighbours from which they forward data

  17. Software Defined Wireless Networks: Unbridling SDNs

    E-Print Network [OSTI]

    Perkins, Dmitri

    Software Defined Wireless Networks: Unbridling SDNs Salvatore Costanzo, Laura Galluccio, Giacomo at analyzing how SDN can be beneficial in wireless infrastructureless networking environments with special emphasis on wireless personal area networks (WPAN). Furthermore, a possible approach (called SDWN

  18. Characterizing User Mobility in Wireless Networks

    E-Print Network [OSTI]

    Nunes, Bruno Astuto Arouche

    2012-01-01T23:59:59.000Z

    Symmetry of User Mobility in Wireless Networks 3.1 MobilityAnalysis of a local-area wireless network. In ACM MOBI- COMand evaluation of wireless networks and their protocols.

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

    E-Print Network [OSTI]

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

    2005-01-01T23:59:59.000Z

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

  20. Insecurity of Wireless Networks

    SciTech Connect (OSTI)

    Sheldon, Frederick T [ORNL; Weber, John Mark [Dynetics, Inc.; Yoo, Seong-Moo [University of Alabama, Huntsville; Pan, W. David [University of Alabama, Huntsville

    2012-01-01T23:59:59.000Z

    Wireless is a powerful core technology enabling our global digital infrastructure. Wi-Fi networks are susceptible to attacks on Wired Equivalency Privacy, Wi-Fi Protected Access (WPA), and WPA2. These attack signatures can be profiled into a system that defends against such attacks on the basis of their inherent characteristics. Wi-Fi is the standard protocol for wireless networks used extensively in US critical infrastructures. Since the Wired Equivalency Privacy (WEP) security protocol was broken, the Wi-Fi Protected Access (WPA) protocol has been considered the secure alternative compatible with hardware developed for WEP. However, in November 2008, researchers developed an attack on WPA, allowing forgery of Address Resolution Protocol (ARP) packets. Subsequent enhancements have enabled ARP poisoning, cryptosystem denial of service, and man-in-the-middle attacks. Open source systems and methods (OSSM) have long been used to secure networks against such attacks. This article reviews OSSMs and the results of experimental attacks on WPA. These experiments re-created current attacks in a laboratory setting, recording both wired and wireless traffic. The article discusses methods of intrusion detection and prevention in the context of cyber physical protection of critical Internet infrastructure. The basis for this research is a specialized (and undoubtedly incomplete) taxonomy of Wi-Fi attacks and their adaptations to existing countermeasures and protocol revisions. Ultimately, this article aims to provide a clearer picture of how and why wireless protection protocols and encryption must achieve a more scientific basis for detecting and preventing such attacks.