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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...

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Detalles Bibliográficos
Autores principales: Zhang, Zhenjiang, Liu, Tonghuan, Chen, Dong, Zhang, Wenyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2014
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.
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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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