Event Region Fault-Tolerant Detection Based on Distributed Weight for Wireless Sensor Networks

A number of faulty sensors would lead to inaccuracy of event region detection and deterioration of network quality of service in wireless sensor networks. This paper proposed a distributed weighted fault-tolerant algorithm (DWFA) for nodes regular deployment and an optimal fault-tolerant mechanism based on weighted distance (WDOFM) for nodes irregular deployment. Both of them exploit spatial correlations among nearby sensors, and syncretize the total weighted information of dual-neighborhood nodes, so as to conduct effective estimation on the central sensor node. DWFA produces different weights from the respective of danger dissimilarity while WDOFM yields diverse relative weights on the basis of variable distance between nodes. Simulation results demonstrate that both DWFA and WDOFM enable higher detection precision and superior fault-tolerant performance compared to other algorithms.