基于模糊逻辑系统的cr - wmn端到端最优路径选择机制

W. Maqbool, S. K. Syed-Yusof, N. A. A. Latiff, Bushra Naeem, Bilal Shabbir, N. N. N. A. Malik
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摘要

在认知无线Mesh网络(CR-WMNs)中,端到端路径选择由于其异构特性而更具挑战性。为了有效地利用网络资源,认知用户必须找到从源节点到结束节点的最佳可用路径。在CR-WMNs中,可能影响路径的因素有移动性、带宽、吞吐量和用户数。本文在基于模糊逻辑的机制中考虑了所有这些参数来选择端到端的最优路径。在该技术中,将所有可用路径的上述参数映射到模糊逻辑系统中,通过模糊规则找到最优路径。结果强调了路径分析过程和路径选择的改进。在Matlab中对该算法进行了仿真。仿真结果验证了该模糊系统的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal End-to-End Path Selection Mechanism for CR-WMNs Based on Fuzzy Logic System
In Cognitive Radio Wireless Mesh Networks (CR-WMNs) the end-to-end path selection is more challenging due to its heterogeneous nature. To utilize the network resources efficiently, a cognitive user must find the best available path from the source node to the end node. The factors which may affect the path in CR-WMNs are mobility, bandwidth, throughput and number of users. In this paper, all these parameters have been considered in fuzzy logic based mechanism to select an end-to-end optimal path. In this technique, the mentioned parameters of all available paths are mapped in a fuzzy logic system to go through fuzzy rules to find the optimal path. The results emphasized on improvement of the path analyzing process and path selection. The proposed algorithm is simulated in Matlab. The simulation results demonstrate the efficiency of the fuzzy system.
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