Data Fusion Based on Proof Theory and Fuzzy Set in WSN

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Abstract:

Focused on the problem that it is difficult to set up the basic probability assignment function in the evidence theory and the calculation of degree of mutual support is absolute, an information fusion method based on evidence theory and fuzzy set (FSB-DS) is proposed. The fuzzy support range and the fuzzy support probability are obtained from the correlation function. Then by using the membership function, the reliability of information provides by each sensor is gained. And then transform support and credibility into basic probability assignment function, and finally the DS evidence combination. The simulation results show that the fusion results have higher precision and reliability compared with other methods.

Keywords: DATA FUSION; EVIDENCE THEORY; FUZZY SET; WIRELESS SENSOR NETWORKS

Document Type: Research Article

DOI: http://dx.doi.org/10.1166/asl.2012.2228

Publication date: March 1, 2012

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  • ADVANCED SCIENCE LETTERS is an international peer-reviewed journal with a very wide-ranging coverage, consolidates research activities in all areas of (1) Physical Sciences, (2) Biological Sciences, (3) Mathematical Sciences, (4) Engineering, (5) Computer and Information Sciences, and (6) Geosciences to publish original short communications, full research papers and timely brief (mini) reviews with authors photo and biography encompassing the basic and applied research and current developments in educational aspects of these scientific areas.
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