Distributed event region detection in wireless sensor networks

Jun Fang, Hongbin Li, Shafik A. Quoraishee, Myron E. Hohil

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationWireless Sensing and Processing III
DOIs
StatePublished - 2008
EventWireless Sensing and Processing III - Orlando, FL, United States
Duration: 17 Mar 200818 Mar 2008

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume6980
ISSN (Print)0277-786X

Conference

ConferenceWireless Sensing and Processing III
Country/TerritoryUnited States
CityOrlando, FL
Period17/03/0818/03/08

Keywords

  • D istributed event-region detection
  • Graphical models (GMs)
  • Wireless sensor networks (WSNs)

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