Admir Barolli, Tetsuya Oda, L. Barolli, Evjola Spaho, F. Xhafa, M. Takizawa
{"title":"Effects of Selection Operators for Mesh Router Placement in Wireless Mesh Networks Considering Weibull Distribution of Mesh Clients","authors":"Admir Barolli, Tetsuya Oda, L. Barolli, Evjola Spaho, F. Xhafa, M. Takizawa","doi":"10.1109/BWCCA.2013.20","DOIUrl":null,"url":null,"abstract":"In this paper, we evaluate the performance of WMN-GA system for node placement problem in WMNs. For evaluation, we consider Weibull Distribution of mesh clients and different selection operators. The population size is considered 64 and the number of generation 200. For evaluation, we consider the giant component and the number of covered users metrics. The simulation results show that for small and medium grid sizes and big density of mesh clients WMN-GA performs better for Linear Ranking. For big grid sizes and low density of mesh clients WMN-GA performs better for Exponential Ranking.","PeriodicalId":227978,"journal":{"name":"2013 Eighth International Conference on Broadband and Wireless Computing, Communication and Applications","volume":"116 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 Eighth International Conference on Broadband and Wireless Computing, Communication and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BWCCA.2013.20","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In this paper, we evaluate the performance of WMN-GA system for node placement problem in WMNs. For evaluation, we consider Weibull Distribution of mesh clients and different selection operators. The population size is considered 64 and the number of generation 200. For evaluation, we consider the giant component and the number of covered users metrics. The simulation results show that for small and medium grid sizes and big density of mesh clients WMN-GA performs better for Linear Ranking. For big grid sizes and low density of mesh clients WMN-GA performs better for Exponential Ranking.