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<p><b>Abstract</b>—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.</p>
Fault tolerance, event detection, sensor fusion, Bayesian algorithms, wireless sensor networks.

S. Iyengar and B. Krishnamachari, "Distributed Bayesian Algorithms for Fault-Tolerant Event Region Detection in Wireless Sensor Networks," in IEEE Transactions on Computers, vol. 53, no. , pp. 241-250, 2004.
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