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Difference DV_Distance Localization Algorithm Using Correction Coefficients of Unknown Nodes
Node localization is an essential requirement in the increasing prevalence of wireless sensor networks applications. As the most commonly used localization algorithm, the DV_Distance algorithm is more sensitive to ranging error, and also has lower localization accuracy. Therefore, this paper propose...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6164818/ https://www.ncbi.nlm.nih.gov/pubmed/30200202 http://dx.doi.org/10.3390/s18092860 |
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author | Sun, Lijun Chen, Tianfei |
author_facet | Sun, Lijun Chen, Tianfei |
author_sort | Sun, Lijun |
collection | PubMed |
description | Node localization is an essential requirement in the increasing prevalence of wireless sensor networks applications. As the most commonly used localization algorithm, the DV_Distance algorithm is more sensitive to ranging error, and also has lower localization accuracy. Therefore, this paper proposes a novel difference DV_Distance localization algorithm using correction coefficients of unknown nodes. Taking account of the fact that correction coefficients of unknown nodes should be different, the proposed method has employed the correction model based on unknown nodes. Some correction coefficients for different direction anchor nodes can be indirectly calculated using the known difference of actual Euclidean distance and corresponding accumulated hop distance between anchor nodes, and then the weighting factors for the correction coefficients of different direction anchor nodes are also computed according to their actual contribution degree, so as to make sure that the corrected distances from unknown nodes to anchor nodes, modified by the final correction coefficient, are closer to the actual distances. At last, the positions of unknown nodes can be calculated using multilateral distance measurement. The simulation results demonstrate that the proposed approach is a localization algorithm with easier implementation, and it not only has better performance on localization accuracy than existing DV_Distance localization algorithm, but also improves the localization stability under the same experimental conditions. |
format | Online Article Text |
id | pubmed-6164818 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-61648182018-10-10 Difference DV_Distance Localization Algorithm Using Correction Coefficients of Unknown Nodes Sun, Lijun Chen, Tianfei Sensors (Basel) Article Node localization is an essential requirement in the increasing prevalence of wireless sensor networks applications. As the most commonly used localization algorithm, the DV_Distance algorithm is more sensitive to ranging error, and also has lower localization accuracy. Therefore, this paper proposes a novel difference DV_Distance localization algorithm using correction coefficients of unknown nodes. Taking account of the fact that correction coefficients of unknown nodes should be different, the proposed method has employed the correction model based on unknown nodes. Some correction coefficients for different direction anchor nodes can be indirectly calculated using the known difference of actual Euclidean distance and corresponding accumulated hop distance between anchor nodes, and then the weighting factors for the correction coefficients of different direction anchor nodes are also computed according to their actual contribution degree, so as to make sure that the corrected distances from unknown nodes to anchor nodes, modified by the final correction coefficient, are closer to the actual distances. At last, the positions of unknown nodes can be calculated using multilateral distance measurement. The simulation results demonstrate that the proposed approach is a localization algorithm with easier implementation, and it not only has better performance on localization accuracy than existing DV_Distance localization algorithm, but also improves the localization stability under the same experimental conditions. MDPI 2018-08-30 /pmc/articles/PMC6164818/ /pubmed/30200202 http://dx.doi.org/10.3390/s18092860 Text en © 2018 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 (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Sun, Lijun Chen, Tianfei Difference DV_Distance Localization Algorithm Using Correction Coefficients of Unknown Nodes |
title | Difference DV_Distance Localization Algorithm Using Correction Coefficients of Unknown Nodes |
title_full | Difference DV_Distance Localization Algorithm Using Correction Coefficients of Unknown Nodes |
title_fullStr | Difference DV_Distance Localization Algorithm Using Correction Coefficients of Unknown Nodes |
title_full_unstemmed | Difference DV_Distance Localization Algorithm Using Correction Coefficients of Unknown Nodes |
title_short | Difference DV_Distance Localization Algorithm Using Correction Coefficients of Unknown Nodes |
title_sort | difference dv_distance localization algorithm using correction coefficients of unknown nodes |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6164818/ https://www.ncbi.nlm.nih.gov/pubmed/30200202 http://dx.doi.org/10.3390/s18092860 |
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