Barycentric Coordinate-Based Distributed Localization for Wireless Sensor Networks Under False-Data-Injection Attacks
研究无线传感器网络在遭受随机虚假数据注入攻击时的分布式定位问题，提出一种基于检测保持策略的迭代算法，利用重心坐标表示检测并抵御数据篡改，理论证明其能准确收敛到传感器位置。
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.