Distributed Bayesian Algorithms for Fault-Tolerant Event Region Detection in Wireless Sensor Networks
Issue No. 03 - March (2004 vol. 53)
Sitharama Iyengar , IEEE
Bhaskar Krishnamachari , IEEE
<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.
Sitharama Iyengar, Bhaskar Krishnamachari, "Distributed Bayesian Algorithms for Fault-Tolerant Event Region Detection in Wireless Sensor Networks", IEEE Transactions on Computers, vol. 53, no. , pp. 241-250, March 2004, doi:10.1109/TC.2004.1261832