Fault diagnosis in clustering WSN based on neighbor cooperation

The traditional fault diagnosis algorithm is limited by the average nodes degree and high failure rate of nodes in WSNs. A new method of fault diagnosis in clustering WSNs is proposed in this paper, which is based on distributed energy-efficient clustering algorithm and neighbor cooperation strategy. The proposed algorithm divides the whole network into several clusters, thus the fault management is dispersed to each cluster area, and the improved neighbor collaborative diagnosis strategy within the cluster is adopted. The simulation results show that the algorithm not only keeps in better ability of fault diagnosis with high fault ratio, but also adapts to wireless sensor network with different average nodes degree.