Node localization anomaly detection based onclustering in wireless sensor networks
ZHANG Yu-qin,QIN Zheng
(College of Software, Hunan University, Changsha 410082, China)
Abstract:On top of a clustering WSN architecture,this paper proposed a distributed scheme to detect localization anomaly.The clustering network could reduce the communication overhead between sensor nodes by utilizing clustered topology, and didn’t have the risk of single point of failure. This method didn’t need any deployment knowledge or hardware. According to compute the location and neighbor list from the sensor node,updated its weight by the cluster head,this scheme could filter the anomaly node.The simulation verifies the correctness and efficiency of this scheme.
Key words:wireless sensor networks(WSNs); node localization; anomaly detection; location verification; clustering ......