Distributed localization algorithm for wireless sensor networks under minuscule bias injection attacks

In this paper, the distributed localization problem of wireless sensor networks under minuscule bias injection attacks is studied. It is assumed that the attacker launches minuscule bias injection attacks on the distance measurement between sensors during the localization process of wireless sensor network, and the accumulated bias value has a great impact on the localization accuracy. To solve the above problems, a distributed localization algorithm based on adjacent detection and numerical fitting is proposed in this paper. The proposed algorithm realizes the detection of minuscule bias injection attacks by adjacent detection and improves the localization accuracy of the algorithm by numerical fitting. Finally, the correctness and superiority of the proposed distributed localization algorithm are verified by simulation experiment.