LAUSR

The accurate localization of nodes in wireless sensor networks can be jeopardized in certain applications of fields, such as those in security and military. In order to detect the nodes that are captured as malicious anchors, a malicious node detection algorithm named MNDC and its improved version named EMDC are proposed in this paper. The algorithms utilize the density-based spatial clustering to acquire the abnormal clusters, which are further examined via a sequential probability ratio test. The malicious nodes that jeopardize networks are then determined. The conducted simulation results and corresponding analysis demonstrate that the proposed algorithms outperform other state-of-art schemes in terms of detection accuracy and effectiveness.