• DocumentCode
    2688052
  • Title

    Performance Evaluation of WMN-GA System for Dense Networks Considering Different Distributions

  • Author

    Barolli, Admir ; Oda, Tetsuya ; Barolli, Leonard ; Xhafa, Fatos ; Takizawa, Makoto ; Uchida, Kazunori

  • fYear
    2012
  • fDate
    4-6 July 2012
  • Firstpage
    426
  • Lastpage
    431
  • Abstract
    With the emergence of several new networking paradigms, optimization modeling and resolution turns out to be crucial to achieve optimized performance networks. One such networking paradigm that requires resolution of optimization problems is Wireless Mesh Networks (WMNs). In this paper, we deal with the effects of population size in GA for node placement problem in WMNs. We evaluate the performance of the proposed system for dense networks considering different distributions and considering giant component and number of covered users parameters. The simulation results show that proposed system has better performance in dense networks like hotspots for Wei bull distribution when the population size is big.
  • Keywords
    Educational institutions; Electronic mail; Encoding; Genetic algorithms; Network topology; Simulation; Topology; Crossover Operators; Genetic Algorithms; Mutation Operators; Size of Giant Component; Wireless Mesh Networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Complex, Intelligent and Software Intensive Systems (CISIS), 2012 Sixth International Conference on
  • Conference_Location
    Palermo, Italy
  • Print_ISBN
    978-1-4673-1233-2
  • Type

    conf

  • DOI
    10.1109/CISIS.2012.56
  • Filename
    6245637