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Open Access

Distributed Event Region Detection in Wireless Sensor Networks

EURASIP Journal on Advances in Signal Processing20072008:287870

Received: 1 May 2007

Accepted: 21 October 2007

Published: 7 November 2007


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.


Information TechnologyLinear SystemSensor NetworkWireless Sensor NetworkQuantum Information

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Authors’ Affiliations

Department of Electrical and Computer Engineering, Stevens Institute of Technology, Hoboken, USA


© J. Fang and H. Li. 2008

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.