Fault-tolerant target detection in sensor networks

Min Ding*, Dechang Chen, Andrew Thaeler, Xiuzhen Cheng

*Corresponding author for this work

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

22 Scopus citations

Abstract

Fault-tolerant target detection and localization is a challenging task in collaborative sensor networks. This paper introduces our exploratory work toward identifying a stationary target in sensor networks with faulty sensors. We explore both spatial and temporal dimensions for data aggregation to decrease the false alarm rate and improve the target position accuracy. To filter out extreme measurements, the median of all readings in the closed neighborhood is used to approximate the local observation to the target. The sensor whose observation is a local maxima computes a position estimate at each epoch. Results from multiple epoches are combined together to further decrease the false alarm rate and improve the target localization accuracy. Our algorithms have low computation and communication overheads. Simulation study demonstrates the validity and efficiency of our design.

Original languageEnglish
Title of host publication2005 IEEE Wireless Communications and Networking Conference, WCNC 2005
Subtitle of host publicationBroadband Wireless for the Masses - Ready for Take-off
Pages2362-2368
Number of pages7
DOIs
StatePublished - 2005
Externally publishedYes
Event2005 IEEE Wireless Communications and Networking Conference, WCNC 2005: Broadband Wirelss for the Masses - Ready for Take-off - New Orleans, LA, United States
Duration: 13 Mar 200517 Mar 2005

Publication series

NameIEEE Wireless Communications and Networking Conference, WCNC
Volume4
ISSN (Print)1525-3511

Conference

Conference2005 IEEE Wireless Communications and Networking Conference, WCNC 2005: Broadband Wirelss for the Masses - Ready for Take-off
Country/TerritoryUnited States
CityNew Orleans, LA
Period13/03/0517/03/05

Keywords

  • Fault tolerance
  • Sensor networks
  • Target detection
  • Target localization

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