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Distributed Event Region Detection in Wireless Sensor Networks

Abstract

We propose a graph-based method for distributed event-region detection in a wireless sensor network (WSN). The proposed method is developed by exploiting the fact that the true events at geographically neighboring sensors have a statistical dependency in an event-region detection scenario. This spatial dependence amongst the sensors is modeled using graphical models (GMs) and serves as a regularization term to enhance the detection accuracy. The method involves solving a linear system of equations, which can be readily implemented in a distributed fashion. Numerical results are presented to illustrate the performance of our proposed approach.

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Correspondence to Hongbin Li.

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Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License (https://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Fang, J., Li, H. Distributed Event Region Detection in Wireless Sensor Networks. EURASIP J. Adv. Signal Process. 2008, 287870 (2007). https://doi.org/10.1155/2008/287870

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Keywords

  • Information Technology
  • Linear System
  • Sensor Network
  • Wireless Sensor Network
  • Quantum Information
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