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Sensors 2014, 14(6), 9562-9581; doi:10.3390/s140609562

Novel Algorithm for Identifying and Fusing Conflicting Data in Wireless Sensor Networks

School of Electronic and Information Engineering, Key Laboratory of Communication and Information Systems, Beijing Municipal Commission of Education, Beijing Jiaotong University, Beijing 100044, China
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Received: 27 February 2014 / Revised: 20 May 2014 / Accepted: 22 May 2014 / Published: 30 May 2014
(This article belongs to the Section Sensor Networks)
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Abstract

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. View Full-Text
Keywords: wireless sensor network data fusion; keyword; DS theory; evidential conflict wireless sensor network data fusion; keyword; DS theory; evidential conflict
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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Zhang, Z.; Liu, T.; Chen, D.; Zhang, W. Novel Algorithm for Identifying and Fusing Conflicting Data in Wireless Sensor Networks. Sensors 2014, 14, 9562-9581.

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