Design and Implementation of a Simulation System Based on Particle Swarm Optimization for Node Placement Problem in Wireless Mesh Networks

Shinji Sakamoto, Tetsuya Oda, Makoto Ikeda, L. Barolli
{"title":"Design and Implementation of a Simulation System Based on Particle Swarm Optimization for Node Placement Problem in Wireless Mesh Networks","authors":"Shinji Sakamoto, Tetsuya Oda, Makoto Ikeda, L. Barolli","doi":"10.1109/INCoS.2015.18","DOIUrl":null,"url":null,"abstract":"With the fast development of wireless technologies, Wireless Mesh Networks (WMNs) are becoming an important networking infrastructure due to their low cost and increased high speed wireless Internet connectivity. In this paper, we propose and implement a simulation system based on Particle Swarm Optimization (PSO). We use Size of Giant Component (SGC) and Number of Covered Mesh Clients (NCMC) as metrics for optimization. From the simulation results, we found that all mesh routers are connected and all mesh clients in the area are covered. Therefore, WMN-PSO has a good performance.","PeriodicalId":345650,"journal":{"name":"2015 International Conference on Intelligent Networking and Collaborative Systems","volume":"412 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference on Intelligent Networking and Collaborative Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INCoS.2015.18","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7

Abstract

With the fast development of wireless technologies, Wireless Mesh Networks (WMNs) are becoming an important networking infrastructure due to their low cost and increased high speed wireless Internet connectivity. In this paper, we propose and implement a simulation system based on Particle Swarm Optimization (PSO). We use Size of Giant Component (SGC) and Number of Covered Mesh Clients (NCMC) as metrics for optimization. From the simulation results, we found that all mesh routers are connected and all mesh clients in the area are covered. Therefore, WMN-PSO has a good performance.
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
基于粒子群算法的无线Mesh网络节点布局仿真系统的设计与实现
随着无线技术的快速发展,无线网状网络(WMNs)以其低廉的成本和高速的无线网络连接能力成为一种重要的网络基础设施。本文提出并实现了一个基于粒子群算法(PSO)的仿真系统。我们使用巨型组件大小(SGC)和覆盖网格客户端数量(NCMC)作为优化指标。从仿真结果可以看出,该区域内所有的mesh路由器都是连通的,并且所有的mesh客户端都被覆盖。因此,WMN-PSO具有良好的性能。
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
A Preliminary Investigation of a Semi-Automatic Criminology Intelligence Extraction Method: A Big Data Approach Energy-Efficient Link and Node Power Control for Avoidance of Congestion in Accordance with Traffic Load Fluctuations Differential Evolution Enhanced by the Closeness Centrality: Initial Study Towards a Kansei WordNet by Color Design SNS Evaluation Minimum Background Fairness for Quality Video Delivery over the LTE Downlink
×
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