• DocumentCode
    607997
  • Title

    Node Placement in WMNs: Performance Evaluation of WMN-GA System for Weibull and Exponential Distribution of Mesh Clients

  • Author

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

  • Author_Institution
    Grad. Sch. of Eng., Fukuoka Inst. of Technol. (FIT), Fukuoka, Japan
  • fYear
    2013
  • fDate
    25-28 March 2013
  • Firstpage
    304
  • Lastpage
    310
  • Abstract
    In this paper, we evaluate the performance of WMN-GA system for different settings of number of mesh clients. We consider Weibull and Exponential distribution of mesh clients, which represent hotspot scenarios. The population size is considered 64 and the number of generation 400. For evaluation, we consider average size of giant component(Avg. SGC) and average number of covered mesh clients(Avg. NCMC) metrics. The simulation results shows that for both distributions, with the increase of the number of mesh routers, the number of covered mesh clients is increased. However, with the increase of the number of mesh clients, the percentage of Avg. NCMC is almost the same. Comparing the simulation results for both Exponential and Weibull distributions, in general the performance of both distributions is almost the same, but in some cases Exponential distribution performs better.
  • Keywords
    Weibull distribution; exponential distribution; genetic algorithms; wireless mesh networks; WMN-GA system; Weibull distribution; exponential distribution; hotspot scenario; mesh client; node placement; performance evaluation; wireless mesh network; Encoding; Exponential distribution; Genetic algorithms; Simulation; Sociology; Statistics; Weibull distribution; Connectivity; Coverage; Genetic Algorithms; Wireless Mesh Networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Information Networking and Applications (AINA), 2013 IEEE 27th International Conference on
  • Conference_Location
    Barcelona
  • ISSN
    1550-445X
  • Print_ISBN
    978-1-4673-5550-6
  • Electronic_ISBN
    1550-445X
  • Type

    conf

  • DOI
    10.1109/AINA.2013.91
  • Filename
    6531770