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Novel Algorithm for Identifying and Fusing Conflicting Data in Wireless Sensor Networks
There is continuously increasing interest in research on multi-sensor data fusion technology. Because Dempster’s rule of combination can be problematic when dealing with conflicting data, there are numerous issues that make data fusion a challenging task, including the exponential explosion, Zadeh P...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4118080/ https://www.ncbi.nlm.nih.gov/pubmed/24887039 http://dx.doi.org/10.3390/s140609562 |
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author | Zhang, Zhenjiang Liu, Tonghuan Chen, Dong Zhang, Wenyu |
author_facet | Zhang, Zhenjiang Liu, Tonghuan Chen, Dong Zhang, Wenyu |
author_sort | Zhang, Zhenjiang |
collection | PubMed |
description | There is continuously increasing interest in research on multi-sensor data fusion technology. Because Dempster’s rule of combination can be problematic when dealing with conflicting data, there are numerous issues that make data fusion a challenging task, including the exponential explosion, Zadeh Paradox, and one-vote veto. These issues lead to a great difference between the fusion results and real results. This paper applies the idea of analyzing distance-based evidence conflicts, introduces the concept of vector space, and proposes a new cosine theorem-based method of identifying and expressing conflicting data. In addition, this paper proposes a new data fusion algorithm based on the degree of mutual support between beliefs, which is based on the Jousselme distance-based combination rule proposed by Deng et al. Simulation results demonstrate that the presented algorithm achieves great improvements in both the accuracy of identifying conflicting data and that of fusing conflicting data. |
format | Online Article Text |
id | pubmed-4118080 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-41180802014-08-01 Novel Algorithm for Identifying and Fusing Conflicting Data in Wireless Sensor Networks Zhang, Zhenjiang Liu, Tonghuan Chen, Dong Zhang, Wenyu Sensors (Basel) Article There is continuously increasing interest in research on multi-sensor data fusion technology. Because Dempster’s rule of combination can be problematic when dealing with conflicting data, there are numerous issues that make data fusion a challenging task, including the exponential explosion, Zadeh Paradox, and one-vote veto. These issues lead to a great difference between the fusion results and real results. This paper applies the idea of analyzing distance-based evidence conflicts, introduces the concept of vector space, and proposes a new cosine theorem-based method of identifying and expressing conflicting data. In addition, this paper proposes a new data fusion algorithm based on the degree of mutual support between beliefs, which is based on the Jousselme distance-based combination rule proposed by Deng et al. Simulation results demonstrate that the presented algorithm achieves great improvements in both the accuracy of identifying conflicting data and that of fusing conflicting data. MDPI 2014-05-30 /pmc/articles/PMC4118080/ /pubmed/24887039 http://dx.doi.org/10.3390/s140609562 Text en © 2014 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/3.0/). |
spellingShingle | Article Zhang, Zhenjiang Liu, Tonghuan Chen, Dong Zhang, Wenyu Novel Algorithm for Identifying and Fusing Conflicting Data in Wireless Sensor Networks |
title | Novel Algorithm for Identifying and Fusing Conflicting Data in Wireless Sensor Networks |
title_full | Novel Algorithm for Identifying and Fusing Conflicting Data in Wireless Sensor Networks |
title_fullStr | Novel Algorithm for Identifying and Fusing Conflicting Data in Wireless Sensor Networks |
title_full_unstemmed | Novel Algorithm for Identifying and Fusing Conflicting Data in Wireless Sensor Networks |
title_short | Novel Algorithm for Identifying and Fusing Conflicting Data in Wireless Sensor Networks |
title_sort | novel algorithm for identifying and fusing conflicting data in wireless sensor networks |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4118080/ https://www.ncbi.nlm.nih.gov/pubmed/24887039 http://dx.doi.org/10.3390/s140609562 |
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