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Proceedings Paper

Distributed event region detection in wireless sensor networks
Author(s): Jun Fang; Hongbin Li; Shafik A. Quoraishee; Myron E. Hohil
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Paper Abstract

In this paper, 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.

Paper Details

Date Published: 3 April 2008
PDF: 11 pages
Proc. SPIE 6980, Wireless Sensing and Processing III, 69800D (3 April 2008); doi: 10.1117/12.777387
Show Author Affiliations
Jun Fang, Stevens Institute of Technology (United States)
Hongbin Li, Stevens Institute of Technology (United States)
Shafik A. Quoraishee, U.S. Army TACOM-ARDEC (United States)
Myron E. Hohil, U.S. Army TACOM-ARDEC (United States)

Published in SPIE Proceedings Vol. 6980:
Wireless Sensing and Processing III
Sohail A. Dianat; Michael D. Zoltowski, Editor(s)

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