Efficient Distributed Method for NLOS Cooperative Localization in WSNs

The accuracy of cooperative localization can be severely degraded in non-line-of-sight (NLOS) environments. Although most existing approaches modify models to alleviate NLOS impact, computational speed does not satisfy practical applications. In this paper, we propose a distributed cooperative local...

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Vydáno v:	Sensors (Basel, Switzerland) Ročník 19; číslo 5; s. 1173
Hlavní autoři:	Chen, Shiwa, Zhang, Jianyun, Mao, Yunxiang, Xu, Chengcheng, Gu, Yu
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Switzerland MDPI 07.03.2019 MDPI AG
Témata:	alternating direction method of multipliers (ADMM) convex relaxation cooperative localization non-line-of-sight (NLOS) wireless sensor networks (WSN) wireless sensor networks (WSN) alternating direction method of multipliers (ADMM) cooperative localization non-line-of-sight (NLOS) convex relaxation
ISSN:	1424-8220, 1424-8220
On-line přístup:	Získat plný text
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Shrnutí:	The accuracy of cooperative localization can be severely degraded in non-line-of-sight (NLOS) environments. Although most existing approaches modify models to alleviate NLOS impact, computational speed does not satisfy practical applications. In this paper, we propose a distributed cooperative localization method for wireless sensor networks (WSNs) in NLOS environments. The convex model in the proposed method is based on projection relaxation. This model was designed for situations where prior information on NLOS connections is unavailable. We developed an efficient decomposed formulation for the convex counterpart, and designed a parallel distributed algorithm based on the alternating direction method of multipliers (ADMM), which significantly improves computational speed. To accelerate the convergence rate of local updates, we approached the subproblems via the proximal algorithm and analyzed its computational complexity. Numerical simulation results demonstrate that our approach is superior in processing speed and accuracy to other methods in NLOS scenarios.
Bibliografie:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23
ISSN:	1424-8220 1424-8220
DOI:	10.3390/s19051173