2017
DOI: 10.3991/ijoe.v13i03.6866
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Research on Interference Optimization Mechanism of Wireless Routing Signal Transmission Based on Fuzzy Comprehensive Evaluation Method

Abstract: Abstract-Inherently dynamic in nature, wireless sensor network transmits data less efficient and reliable, and thus the conventional routing protocol is inapplicable to the new type of wireless sensor network. Such being the case, this paper first analyzes this problem and proposes a routing interference optimization mechanism FCE based on distributed fuzzy comprehensive evaluation. The fuzzy principle is introduced to the priority calculation of the node. In doing so, the fuzzy linear transformation principle… Show more

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Cited by 2 publications
(2 citation statements)
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“…Its basic theory was to determine the value of the components of the evaluation indicator through the membership matrix and factor weight. It enabled a comprehensive assessment of factors that were challenging to analyze quantitatively and produced clear results and strong system suitability, and it could better solve various uncertainty problems [30]. Shi et al [31] adopted membership degree conversion in the FCE method.…”
Section: Introductionmentioning
confidence: 99%
“…Its basic theory was to determine the value of the components of the evaluation indicator through the membership matrix and factor weight. It enabled a comprehensive assessment of factors that were challenging to analyze quantitatively and produced clear results and strong system suitability, and it could better solve various uncertainty problems [30]. Shi et al [31] adopted membership degree conversion in the FCE method.…”
Section: Introductionmentioning
confidence: 99%
“…The FCE method is a comprehensive evaluation method based on fuzzy mathematics; it can transform qualitative evaluation into quantitative evaluation and perform an overall evaluation of things or objects that are subject to multiple factors. It has the characteristics of clear results and strong systematicness, which can better solve vague and difficult-toquantify problems, and is suitable for various non-deterministic problems [37,38]. At present, this coupling method has been widely used in various industries.…”
Section: Introductionmentioning
confidence: 99%