Abstract
As an important part of the Internet of things (IoT), wireless sensor networks (WSNs) have been applied in many fields. Most applications require accurate location information, hence node localization is one of the important issues in WSNs. It is very important to ensure the security of localization when WSNs are under attack. A new attack-resistant weighted least squares (ARWLS) algorithm based on RSSI was proposed in the paper. The algorithm is oriented to the problem solution for the situation that the attacker influences the system by tampering with the transmitting power in the localization mechanism. The proposed algorithm can be used in the attack scenarios. Simulations results show that, compared with other algorithms, the proposed algorithm has merits in localization accuracy and robustness to resisting the tampering activities of attackers.
The work was supported by the Joint Key Program of the National Natural Science Foundation of China and Guangdong Province of China(Grant No. U2001204), by the National Natural Science Foundation of China (Grant Nos. 61873290, 61972431 and 61572534), and by the Science and Technology Program of Guangzhou, China (Grant No. 202002030470).
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Liu, Y., Peng, J., Liu, X., Xie, Y., Tang, Z. (2021). An Attack-Resistant Weighted Least Squares Localization Algorithm Based on RSSI. In: Paiva, S., Lopes, S.I., Zitouni, R., Gupta, N., Lopes, S.F., Yonezawa, T. (eds) Science and Technologies for Smart Cities. SmartCity360° 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 372. Springer, Cham. https://doi.org/10.1007/978-3-030-76063-2_32
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