Near-domain-based fault diagnosis approach for wireless sensor networks

This study presents a near-domain-based diagnosis algorithm for wireless sensor networks nodes. The whole network is clustered to adapt to dynamic topologies, then self-diagnosis procedure is started simultaneously on all nodes when a new cycle is initiated, or an abnormal behaviour is detected. Matching with neighbour nodes at most twice, the status of a node can be diagnosed. Wireless link fault between nodes is particularly considered in this study which may lead to the erroneous diagnosis of node status. Theoretical analysis and simulation results show that the proposed method has a high accuracy of fault diagnosis and a less communication traffic between nodes, thus greatly reducing energy consumption. At the same time, a high robustness is maintained in this novel fault diagnosis algorithm.