Fault tolerant wireless sensor network using case based reasoning with semantic tracking
CIT'11 Proceedings of the 5th WSEAS international conference on Communications and information technology
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This paper presents a distributed fault detection algorithm for wireless sensor networks (WSNs) by exploring the weighted average value scheme. Considering the spatial correlations in WSNs, a faulty sensor can diagnose itself through comparing its own sensed data with the average of neighbors’ data. Simulation results show that sensor nodes with permanent faults are identified with high accuracy for a wide range of fault rate, and keep false alarm rate for different levels of sensor fault model.