• DocumentCode
    2354717
  • Title

    Impact of Population Size and Number of Generations on the Performance of Dense WMNs

  • Author

    Barolli, Admir ; Oda, Tetsuya ; Spaho, Evjola ; Barolli, Leonard ; Xhafa, Fatos ; Takizawa, Makoto

  • Author_Institution
    Dept. of Comput. & Inf. Sci., Seikei Univ., Musashino, Japan
  • fYear
    2012
  • fDate
    12-14 Nov. 2012
  • Firstpage
    523
  • Lastpage
    528
  • Abstract
    In this paper, we deal with the impact of the population size and number of generations on the performance of a dense WMN. The network is compound of 8 mesh routers and 96 mesh clients. We evaluate the performance considering giant component, number of covered users and the total execution time of GA. The simulation results show that the increase of the population size or the increase of the number of generations results in the improvement the performance. We found that in a dense network, the increase of the number of generations for the same population size needs less computational time than increasing the population size.
  • Keywords
    genetic algorithms; telecommunication network routing; wireless mesh networks; GA; dense WMN; generation number; genetic algorithms; mesh clients; mesh routers; population size; wireless mesh networks; Encoding; Genetic algorithms; Network topology; Simulation; Sociology; Statistics; Topology; Genetic Algorithms; Number of Generations; Population Size; Wireless Mesh Networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Broadband, Wireless Computing, Communication and Applications (BWCCA), 2012 Seventh International Conference on
  • Conference_Location
    Victoria, BC
  • Print_ISBN
    978-1-4673-2972-9
  • Type

    conf

  • DOI
    10.1109/BWCCA.2012.92
  • Filename
    6363109