Distributed Bayesian algorithms for fault-tolerant event region detection in wireless sensor networks
Distributed Bayesian algorithms for fault-tolerant event region detection in wireless sensor networks
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DOI：
10.1109/tc.2004.1261832
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发表时间：
2004-03-01
影响因子：
3.7
通讯作者：
Iyengar, S
中科院分区：
文献类型：
--
作者：
Krishnamachari, B;Iyengar, S
我们提出了一个分布式解决方案的典型任务在无线传感器网络的二进制检测感兴趣的环境事件。我们明确考虑到传感器测量故障的可能性，并开发了一个分布式贝叶斯算法来检测和纠正此类故障。理论分析和仿真结果表明，该算法可以纠正85%-95%的故障，即使多达10%的节点是错误的。
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.