  Wireless Sensor Networks (WSNs) consist of many low cost and light sensors
dispersed in an area to monitor the physical environment. Event detection in
WSN area, especially detection of multi-events at the same time, is an
important problem. This article is a new attempt for detection of two
simultaneous events based on distributed data processing structure and Bayesian
criteria. For accurate detection of two simultaneous events, we proposed new
decision rules based on likelihood ratio test and also derived probability of
detection error based on Bayesian criteria. In addition to multi-event
detection, the proposed method is expanded to a fault-tolerant procedure if
there are faults in decision making of sensors. Performance of the proposed
approach is demonstrated for detection of events in different circumstances.
Results show the effectiveness of the algorithm for fault-tolerant multi-event
detection.
