• DocumentCode
    262425
  • Title

    WMN-GA for Node Placement in WMN: Evaluation and Visualization Using HotSpot Ad-Hoc Method

  • Author

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

  • Author_Institution
    Fukuoka Inst. of Technol. (FIT), Fukuoka, Japan
  • fYear
    2014
  • fDate
    2-4 July 2014
  • Firstpage
    23
  • Lastpage
    29
  • Abstract
    In this work, we evaluate the performance of WMN-GA system for node placement in WMNs. For evaluation, we consider Exponential and Weibull distributions of mesh clients and HotSpot initial placement method. 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. We also show the visualization process of mesh router placement for different number of generations. The simulation results shows that for Weibull distribution, mesh clients are concentrated at the bottom of the grid size and HotSpot method finds a better positioning of mesh clients compared with Exponential distribution.
  • Keywords
    Weibull distribution; exponential distribution; genetic algorithms; wireless mesh networks; HotSpot ad-hoc method; WMN-GA; Weibull distributions; exponential distributions; genetic algorithms; mesh clients; mesh router placement; node placement; wireless mesh networks; Exponential distribution; Genetic algorithms; Network topology; Simulation; Sociology; Statistics; Weibull distribution; Connectivity; Coverage; GAs; WMNs;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Complex, Intelligent and Software Intensive Systems (CISIS), 2014 Eighth International Conference on
  • Conference_Location
    Birmingham
  • Print_ISBN
    978-1-4799-4326-5
  • Type

    conf

  • DOI
    10.1109/CISIS.2014.4
  • Filename
    6915492