Distributed Bayesian algorithms for fault-tolerant event region detection in wireless sensor networks

被引：366
作者：
Krishnamachari, B [1 ]
Iyengar, S
机构：
[1] Univ So Calif, Dept Elect Engn Syst, Los Angeles, CA 90089 USA
[2] Louisiana State Univ, Dept Comp Sci, Baton Rouge, LA 70803 USA
来源：
IEEE TRANSACTIONS ON COMPUTERS | 2004年 / 53卷 / 03期
关键词：
fault tolerance; event detection; sensor fusion; Bayesian algorithms; wireless sensor networks;
D O I：
10.1109/TC.2004.1261832
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
We propose a distributed solution for a canonical task in wireless sensor networks-the binary detection of interesting environmental events. We explicitly take into account the possibility of sensor measurement faults and develop a distributed Bayesian algorithm for detecting and correcting such faults. Theoretical analysis and simulation results show that 85-95 percent of faults can be corrected using this algorithm, even when as many as 10 percent of the nodes are faulty.
引用
收藏
页码：241 / 250
页数：10
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