論文

2021年

A Comparison Study of CM and RIWM Router Replacement Methods for WMNs Considering Boulevard Distribution of Mesh Clients.

Advances in Intelligent Networking and Collaborative Systems - The 13th International Conference on Intelligent Networking and Collaborative Systems(INCoS)
  • Peng Xu
  • ,
  • Admir Barolli
  • ,
  • Phudit Ampririt
  • ,
  • Shinji Sakamoto
  • ,
  • Leonard Barolli

312
開始ページ
195
終了ページ
208
記述言語
英語
掲載種別
研究論文(国際会議プロシーディングス)
DOI
10.1007/978-3-030-84910-8_21
出版者・発行元
Springer

The Wireless Mesh Networks (WMNs) have attracted attention for different applications. They are an important networking infrastructure and they have many advantages such as low cost and high-speed wireless Internet connectivity. However, they have some problems such as router placement, covering of mesh clients and load balancing. To deal with these problems, in our previous work, we implemented a hybrid simulation system based on Particle Swarm Optimization (PSO) and Distributed Genetic Algorithm (DGA) called WMN-PSODGA. Moreover, we added in the fitness function a new parameter for the load balancing of the mesh routers called NCMCpR (Number of Covered Mesh Clients per Router). In this paper, we consider Boulevard distribution of mesh clients and two router replacement methods: Constriction Method (CM) and Random Inertia Weight Method (RIWM). We carry out simulations using WMN-PSODGA system considering 16 and 18 mesh routers. We compare the performance of CM with RIWM. The simulation results show that RIWM has better loading balancing than CM.


リンク情報
DOI
https://doi.org/10.1007/978-3-030-84910-8_21
DBLP
https://dblp.uni-trier.de/rec/conf/incos/XuBASB21
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000704003000021&DestApp=WOS_CPL
URL
https://dblp.uni-trier.de/rec/conf/incos/2021
URL
https://dblp.uni-trier.de/db/conf/incos/incos2021.html#XuBASB21
ID情報
  • DOI : 10.1007/978-3-030-84910-8_21
  • ISSN : 2367-3370
  • eISSN : 2367-3389
  • ISBN : 9783030849092
  • ISBN : 9783030849108
  • DBLP ID : conf/incos/XuBASB21
  • Web of Science ID : WOS:000704003000021

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