A Trust Assessment-Based Distributed Localization Algorithm for Sensor Networks Under Deception Attacks

• Published in: IEEE/CAA journal of automatica sinica Vol. 9; no. 10; pp. 1879 - 1882
• Main Authors: Wang, Ya, Chen, Xinming, Shi, Lei, Cheng, Yuhua, Wang, Houjun
• Format: Journal Article
• Language: English
• Published: Piscataway Chinese Association of Automation (CAA) 01.10.2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE); School of Automation Engineering,University of Electronic Science and Technology of China,Chengdu 611731,and also with the School of Intelligent Manufacturing,Chengdu Technological University,Chengdu 611730,China%School of Automation Engineering,University of Electronic Science and Technology of China,Chengdu 611731,China
• Subjects: Algorithms; Data integration; Localization; Wireless networks; Wireless sensor networks
• ISSN: 2329-9266; 2329-9274; 2329-9274
• DOI: 10.1109/JAS.2022.105881

Dear Editor, This letter is concerned with the distributed localization issue for wireless sensor networks subject to deception attacks. It is assumed that malicious nodes randomly launch attacks to tamper the ranging information between sensors. In order to accommodate the effects of deception attacks, a trust assessment-based distributed localization algorithm is proposed. Combined with data fusion of barycentric coordinates, our algorithm can achieve accurate localization. Finally, numerical simulations are given to validate the effectiveness of the proposed localization algorithm.