Optimal End-to-End Path Selection Mechanism for CR-WMNs Based on Fuzzy Logic System

W. Maqbool, S. K. Syed-Yusof, N. A. A. Latiff, Bushra Naeem, Bilal Shabbir, N. N. N. A. Malik
{"title":"Optimal End-to-End Path Selection Mechanism for CR-WMNs Based on Fuzzy Logic System","authors":"W. Maqbool, S. K. Syed-Yusof, N. A. A. Latiff, Bushra Naeem, Bilal Shabbir, N. N. N. A. Malik","doi":"10.1109/ISTT50966.2020.9279385","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":345344,"journal":{"name":"2020 IEEE 5th International Symposium on Telecommunication Technologies (ISTT)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 5th International Symposium on Telecommunication Technologies (ISTT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISTT50966.2020.9279385","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

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.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于模糊逻辑系统的cr - wmn端到端最优路径选择机制
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。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Fair and Dynamic Channel Grouping Scheme for IEEE 802.11ah Networks Present State of the Art in Post Disaster Victim Localization A Development of Headwater Phenomenon Warning and Monitoring System Measurement Study on Carrier Aggregation Implementation in LTE-Advanced Network Cellular Traffic Prediction using Recurrent Neural Networks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1