Barycentric Coordinate-Based Distributed Localization for Wireless Sensor Networks Under False-Data-Injection Attacks

Abstract

Localization security is crucial to the widespread applications of wireless sensor networks (WSNs) in various fields. This article mainly studies the issue of distributed localization in WSNs subject to deception attacks, in which the attacker randomly compromises communication channels and injects false data, resulting in the codification of data received by sensor nodes. A distributed iterative localization algorithm based on detection-holding strategy is proposed with the help of barycentric coordinate representations. This algorithm detects modified data in communication links through residual detection and communication encryption. It is proved theoretically that the proposed localization algorithm can achieve accurate convergence to the sensors’ locations under general random false-data-injection attacks. Finally, the algorithm performance is demonstrated through simulation examples.