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Collaborative Localization and Location Verification in WSNs
Localization is one of the most important technologies in wireless sensor networks. A lightweight distributed node localization scheme is proposed by considering the limited computational capacity of WSNs. The proposed scheme introduces the virtual force model to determine the location by incrementa...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4482002/ https://www.ncbi.nlm.nih.gov/pubmed/25954948 http://dx.doi.org/10.3390/s150510631 |
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author | Miao, Chunyu Dai, Guoyong Ying, Kezhen Chen, Qingzhang |
author_facet | Miao, Chunyu Dai, Guoyong Ying, Kezhen Chen, Qingzhang |
author_sort | Miao, Chunyu |
collection | PubMed |
description | Localization is one of the most important technologies in wireless sensor networks. A lightweight distributed node localization scheme is proposed by considering the limited computational capacity of WSNs. The proposed scheme introduces the virtual force model to determine the location by incremental refinement. Aiming at solving the drifting problem and malicious anchor problem, a location verification algorithm based on the virtual force mode is presented. In addition, an anchor promotion algorithm using the localization reliability model is proposed to re-locate the drifted nodes. Extended simulation experiments indicate that the localization algorithm has relatively high precision and the location verification algorithm has relatively high accuracy. The communication overhead of these algorithms is relative low, and the whole set of reliable localization methods is practical as well as comprehensive. |
format | Online Article Text |
id | pubmed-4482002 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-44820022015-06-29 Collaborative Localization and Location Verification in WSNs Miao, Chunyu Dai, Guoyong Ying, Kezhen Chen, Qingzhang Sensors (Basel) Article Localization is one of the most important technologies in wireless sensor networks. A lightweight distributed node localization scheme is proposed by considering the limited computational capacity of WSNs. The proposed scheme introduces the virtual force model to determine the location by incremental refinement. Aiming at solving the drifting problem and malicious anchor problem, a location verification algorithm based on the virtual force mode is presented. In addition, an anchor promotion algorithm using the localization reliability model is proposed to re-locate the drifted nodes. Extended simulation experiments indicate that the localization algorithm has relatively high precision and the location verification algorithm has relatively high accuracy. The communication overhead of these algorithms is relative low, and the whole set of reliable localization methods is practical as well as comprehensive. MDPI 2015-05-06 /pmc/articles/PMC4482002/ /pubmed/25954948 http://dx.doi.org/10.3390/s150510631 Text en © 2015 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Miao, Chunyu Dai, Guoyong Ying, Kezhen Chen, Qingzhang Collaborative Localization and Location Verification in WSNs |
title | Collaborative Localization and Location Verification in WSNs |
title_full | Collaborative Localization and Location Verification in WSNs |
title_fullStr | Collaborative Localization and Location Verification in WSNs |
title_full_unstemmed | Collaborative Localization and Location Verification in WSNs |
title_short | Collaborative Localization and Location Verification in WSNs |
title_sort | collaborative localization and location verification in wsns |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4482002/ https://www.ncbi.nlm.nih.gov/pubmed/25954948 http://dx.doi.org/10.3390/s150510631 |
work_keys_str_mv | AT miaochunyu collaborativelocalizationandlocationverificationinwsns AT daiguoyong collaborativelocalizationandlocationverificationinwsns AT yingkezhen collaborativelocalizationandlocationverificationinwsns AT chenqingzhang collaborativelocalizationandlocationverificationinwsns |