Abstract
It is important to detect multi simultaneous events in Wireless Sensor Networks (WSNs). WSNs are usually consist of tiny sensor nodes which are often deployed in harsh environment and facing the fault conditions. In this paper, a fault tolerant distributed two-event detection method based on the Bayesian approach is proposed for WSNs. In addition, a data fusion algorithm is employed to involve the statuses of the neighborhoods in the decision of each sensing point. The proposed distributed method is used to detect two events simultaneously in a WSN with 200 sensors that distributed randomly. Also some random faults occur in all sensing nodes. Results show the accuracy and significant performance of the proposed two events detection approach.
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