Distributed Event-Region Detection Based on Indicator Kriging in Wireless Sensor Networks

This paper presents a distributed event-region detection scheme for wireless sensor networks. Under the assumption that the event-region detection process follows a stationary distribution, the proposed scheme employs a kind of spatial interpolation, that is Indicator Kriging (IK), to reduce the impact of fault nodes. The approach was composed of two major tasks: (1) an indicator transformation from the raw data to the binary data; (2) the solution of conditional probability that considers the spatiotemporal correlation between the local node and its neighboring nodes. Through these, we can obtain the probability of event to determine whether the event happens. By numerical simulations, we have shown that the proposed IK scheme can result in a good detection performance.