@inproceedings{8cbf73ec589d4953b883a2ae1ad46d95,
title = "Fault-tolerant target detection in sensor networks",
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.",
keywords = "Fault tolerance, Sensor networks, Target detection, Target localization",
author = "Min Ding and Dechang Chen and Andrew Thaeler and Xiuzhen Cheng",
year = "2005",
doi = "10.1109/WCNC.2005.1424884",
language = "English",
isbn = "0780389662",
series = "IEEE Wireless Communications and Networking Conference, WCNC",
pages = "2362--2368",
booktitle = "2005 IEEE Wireless Communications and Networking Conference, WCNC 2005",
note = "2005 IEEE Wireless Communications and Networking Conference, WCNC 2005: Broadband Wirelss for the Masses - Ready for Take-off ; Conference date: 13-03-2005 Through 17-03-2005",
}