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Reactive monitoring of aggregates in Gaussian random field over wireless sensor networks

Published: 11 April 2010 Publication History

Abstract

Monitoring is one of key applications in wireless sensor networks. In this paper, we consider Reactive Monitoring in sensor networks, which takes the advantages of very low communication overhead. In this respect, our primary concern is devising the reactive monitoring mechanism with minimal communication cost for a sensor network scattered in a Gaussian field. We cast the threshold assignment for reactive monitoring as an optimization problem based on the statistics of each sensor measurement. Then, we propose a distributed algorithm to set local thresholds on each sensor node based on Particle Swarm Optimization (PSO) technique. Through simulation, we illustrate that the proposed threshold assignment algorithm can significantly reduce the communication overhead of the monitoring mechanism in sensor networks.

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Dilman, M., and D. Raz. 2001. "Efficient reactive monitoring," In Proc. of INFOCOM'01.
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Bulut, A., N. Koudas, A. Meka, A. K. Singh, and D. Srivastava, 2009, "Optimization Techniques for Reactive Network Monitoring," IEEE Transactions on Knowledge and Data Engineering, 21(9), 1343--1357.
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Abbasi, A., A. Khonsari, and M. S. Talebi. 2009. "Flooding-Assisted Threshold Assignment for Aggregate Monitoring in Sensor Networks," In Proc. of ICDCN'09.
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Talebi, M. S., A. Khonsari, and R. Jabarvand. 2009. "Cost-Aware Reactive Monitoring in Resource-Constrained Wireless Sensor Networks," In Proc. of WCNC'09.
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Cited By

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  • (2011)A Novel Agent-Based Simulation Framework for Sensing in Complex Adaptive EnvironmentsIEEE Sensors Journal10.1109/JSEN.2010.206804411:2(404-412)Online publication date: Feb-2011

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SpringSim '10: Proceedings of the 2010 Spring Simulation Multiconference
April 2010
1726 pages
ISBN:9781450300698

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  • SCS: Society for Modeling and Simulation International

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Society for Computer Simulation International

San Diego, CA, United States

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Published: 11 April 2010

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SpringSim '10: 2010 Spring Simulation Conference
April 11 - 15, 2010
Florida, Orlando

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  • (2011)A Novel Agent-Based Simulation Framework for Sensing in Complex Adaptive EnvironmentsIEEE Sensors Journal10.1109/JSEN.2010.206804411:2(404-412)Online publication date: Feb-2011

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