RSS-Based Byzantine Fault-Tolerant Localization Algorithm Under NLOS Environment

Localization is one of the most critical tasks in wireless sensor networks, but achieving a relatively accurate location estimation is challenging when there have Byzantine fault and non-line-of-sight (NLOS) bias simultaneously. In this context, a localization method, based on received signal streng...

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Vydáno v:	IEEE communications letters Ročník 25; číslo 2; s. 474 - 478
Hlavní autoři:	Mei, Xiaojun, Wu, Huafeng, Xian, Jiangfeng, Chen, Bowen
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York IEEE 01.02.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Algorithms Approximation algorithms Bias Byzantine fault Electronic mail Fault tolerance Fault tolerant systems generalized trust region sub-problem (GTRS) Iterative methods Localization Localization method Noise measurement non-line-of-sight (NLOS) Probability density function received signal strength (RSS) Regularization sensor networks Signal strength Target localization Wireless networks Wireless sensor networks
ISSN:	1089-7798, 1558-2558
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Abstract	Localization is one of the most critical tasks in wireless sensor networks, but achieving a relatively accurate location estimation is challenging when there have Byzantine fault and non-line-of-sight (NLOS) bias simultaneously. In this context, a localization method, based on received signal strength (RSS), is proposed in this letter to mitigate the impact of Byzantine fault and NLOS bias on the localization accuracy of wireless sensor networks. The proposed method relies on a Byzantine fault-tolerant localization algorithm (BFLA), which converts the localization problem into a generalized trust-region subproblem (GTRS) by applying certain approximations. In order to obtain a feasible solution to the GTRS, a block-coordinate update (BCU) function with a regularization term is used to divide the localization problem into two subproblems. An iterative method, whose start-point is obtained by an unconstrained squared-range (USR) algorithm, is then used to obtain a solution. Numerical simulations are carried out to show the effectiveness of the proposed method, compared with the state-of-the-art approaches in different scenarios.
AbstractList	Localization is one of the most critical tasks in wireless sensor networks, but achieving a relatively accurate location estimation is challenging when there have Byzantine fault and non-line-of-sight (NLOS) bias simultaneously. In this context, a localization method, based on received signal strength (RSS), is proposed in this letter to mitigate the impact of Byzantine fault and NLOS bias on the localization accuracy of wireless sensor networks. The proposed method relies on a Byzantine fault-tolerant localization algorithm (BFLA), which converts the localization problem into a generalized trust-region subproblem (GTRS) by applying certain approximations. In order to obtain a feasible solution to the GTRS, a block-coordinate update (BCU) function with a regularization term is used to divide the localization problem into two subproblems. An iterative method, whose start-point is obtained by an unconstrained squared-range (USR) algorithm, is then used to obtain a solution. Numerical simulations are carried out to show the effectiveness of the proposed method, compared with the state-of-the-art approaches in different scenarios.
Author	Mei, Xiaojun Wu, Huafeng Xian, Jiangfeng Chen, Bowen
Author_xml	– sequence: 1 givenname: Xiaojun orcidid: 0000-0002-1831-4329 surname: Mei fullname: Mei, Xiaojun email: xjmei94@163.com organization: Merchant Marine College, Shanghai Maritime University, Shanghai, China – sequence: 2 givenname: Huafeng orcidid: 0000-0002-3150-3407 surname: Wu fullname: Wu, Huafeng email: hfwu@shmtu.edu.cn organization: Merchant Marine College, Shanghai Maritime University, Shanghai, China – sequence: 3 givenname: Jiangfeng orcidid: 0000-0002-5141-9085 surname: Xian fullname: Xian, Jiangfeng email: xianjiangfeng0310@163.com organization: Merchant Marine College, Shanghai Maritime University, Shanghai, China – sequence: 4 givenname: Bowen surname: Chen fullname: Chen, Bowen email: bowenchen1995@gmail.com organization: Merchant Marine College, Shanghai Maritime University, Shanghai, China
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SubjectTerms	Algorithms Approximation algorithms Bias Byzantine fault Electronic mail Fault tolerance Fault tolerant systems generalized trust region sub-problem (GTRS) Iterative methods Localization Localization method Noise measurement non-line-of-sight (NLOS) Probability density function received signal strength (RSS) Regularization sensor networks Signal strength Target localization Wireless networks Wireless sensor networks
Title	RSS-Based Byzantine Fault-Tolerant Localization Algorithm Under NLOS Environment
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