Distributed Bayesian algorithms for fault-tolerant event region detection in wireless sensor networks
B Krishnamachari, S Iyengar - IEEE Transactions on Computers, 2004 - ieeexplore.ieee.org
IEEE Transactions on Computers, 2004•ieeexplore.ieee.org
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.
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.
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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