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.
This paper studies the localization problem of wireless sensor network in indoor environment. In order to meet the mobile users' demand for location service in indoor environment, an indoor distributed localization method based on coordinate projection technology and barycentric coordinate representation is proposed, which can realize large-scale localization of wireless sensor networks in 3D indoor environment only through a few anchor nodes. Meanwhile, this method has no too many restrictions on the deployment of wireless sensor networks, and can flexibly adjust sensor nodes, and has strong scalability. Finally, the effectiveness of the proposed localization method is verified by numerical simulation.
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