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

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2 Author(s)
Krishnamachari, B. ; Dept. of Electr. Eng., Univ. of Southern California, Los Angeles, CA, USA ; Iyengar, S.

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.

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Computers, IEEE Transactions on  (Volume:53 ,  Issue: 3 )