• DocumentCode
    613985
  • Title

    Performance Evaluation of WMN-GA System for Node Placement in WMNs Considering Normal Distribution of Mesh Clients and Different Selection and Mutation Operators

  • 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
    2013
  • fDate
    25-28 March 2013
  • Firstpage
    312
  • Lastpage
    317
  • Abstract
    Wireless Mesh Networks (WMNs) are currently attracting a lot of attention from wireless research and technology community due to their importance for providing cost-efficient broadband wireless connectivity. Issues for achieving the network connectivity and user coverage are related with the node placement problem. In this paper, we evaluate the performance of WMN-GA system for node placement problem in WMNs. For evaluation, we consider Normal Distribution of mesh clients and different selection and mutation 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 shows that the WMN-GA system performs better for Single Mutation and Linear Ranking.
  • Keywords
    genetic algorithms; quality of service; wireless mesh networks; WMN-GA system; cost-efficient broadband wireless connectivity; mesh client normal distribution; mutation operator; network connectivity; node placement; wireless mesh network; Encoding; Genetic algorithms; Network topology; Simulation; Sociology; Statistics; Topology; Connectivity; Coverage; GAs; Number of Generations; Population Size; WMNs;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Information Networking and Applications Workshops (WAINA), 2013 27th International Conference on
  • Conference_Location
    Barcelona
  • Print_ISBN
    978-1-4673-6239-9
  • Electronic_ISBN
    978-0-7695-4952-1
  • Type

    conf

  • DOI
    10.1109/WAINA.2013.105
  • Filename
    6550416