Assessment of Node Reputation in MP2P Based on Fuzzy Comprehensive Evaluation

Meijuan Jia, Huiqiang Wang, Junyu Lin, Guangsheng Feng
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引用次数: 2

Abstract

Although many efforts have been made to study the reputation evaluation of node performance in Mobile Peer-to-Peer Networks (MP2P), the existing methodology of node reputation evaluation are not applicable to the scenarios in dynamic networks. To improve the performance of MP2P, in this study, we develop a new evaluation of node reputation by combining an analytic hierarchy process with a fuzzy comprehensive evaluation technology. The reputation of nodes is calculated using a membership function to account for direct and indirect trust, residual energy and fuzzy comprehensive evaluation. The experimental results show that the proposed method is not only robust in delivering a ratio of packet, but also reduce the average latency and overload ratio in MP2P environment.
基于模糊综合评价的MP2P节点信誉评价
尽管对移动对等网络(MP2P)中节点性能的声誉评价进行了大量的研究,但现有的节点声誉评价方法并不适用于动态网络场景。为了提高MP2P的性能,本文将层次分析法与模糊综合评价技术相结合,提出了一种新的节点信誉评价方法。通过考虑直接信任和间接信任、剩余能量和模糊综合评价的隶属度函数来计算节点的信誉。实验结果表明,该方法不仅具有稳健性,而且在MP2P环境下降低了平均时延和过载率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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