Judgment and location of misbehavior nodes in wireless sensor networks

In order to reduce the localization error of misbehavior nodes like boundary nodes and isolated nodes in wireless sensor networks, the related principles and methods of graph theory were used to judge these misbehavior nodes. Through the analysis of density around misbehavior nodes, range and direction of received anchors, the reason that location errors of misbehavior nodes were ever greater was theoretically explained. Moreover, the solution schemes were put forward to judge and locate the misbehavior nodes and correct the location error. The localization performance was compared in different scenes. The simulation results show that the localization accuracy of misbehavior nodes with correction under regular network topology can be improved 17% compared with that of without correction. While in irregular network topology, the localization accuracy of isolated nodes can be improved 10% compared with that of without correction.