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

Xinming Chen; Ya Wang; Lei Shi; Jinliang Shao

doi:10.1117/12.3014916

4 March 2024 Distributed localization algorithm for wireless sensor networks under minuscule bias injection attacks

Xinming Chen, Ya Wang, Lei Shi, Jinliang Shao

Proceedings Volume 12981, Ninth International Symposium on Sensors, Mechatronics, and Automation System (ISSMAS 2023); 129810H (2024) https://doi.org/10.1117/12.3014916
Event: 9th International Symposium on Sensors, Mechatronics, and Automation (ISSMAS 2023), 2023, Nanjing, China

Abstract

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.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xinming Chen, Ya Wang, Lei Shi, and Jinliang Shao "Distributed localization algorithm for wireless sensor networks under minuscule bias injection attacks", Proc. SPIE 12981, Ninth International Symposium on Sensors, Mechatronics, and Automation System (ISSMAS 2023), 129810H (4 March 2024); https://doi.org/10.1117/12.3014916

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