• DocumentCode
    445571
  • Title

    Wireless access point configuration by genetic algorithm using a local rule

  • Author

    Sato, Yuji ; Kera, Yuko

  • Author_Institution
    Fac. of Comput. & Inf. Sci., Hosei Univ., Tokyo, Japan
  • Volume
    2
  • fYear
    2005
  • fDate
    2-5 Sept. 2005
  • Firstpage
    1516
  • Abstract
    In this paper, a report is released in relation to an example of the application of the genetic algorithm based on a local evaluation rule where attention is paid to a region in a communication circle from an access point taking up an access point layout problem in the wireless LAN construction as an objective. When the optimum solution is probed by means of an evaluation function taking up the whole entity of the LAN, a circuit becomes unstable in a specific service area even if a solution is the quasi-optimum solution as the whole entity of the system in case that attention is paid to the individual clients, there might be a possibility that an area not necessarily successful in realizing high-quality service is in existence. In this paper, it is explained that the method hereby proposed can first of all obtain the quasi-optimum solution taking up the whole entity of the wireless LAN system, as with the case that an evaluation function taking up the whole entity of the system as an objective is applied. At the next stage, it is explained whether there is a possibility that a solution for practical use where clients´ communication situation is considered in a service area will be obtained.
  • Keywords
    client-server systems; genetic algorithms; radio access networks; telecommunication services; wireless LAN; access point layout problem; genetic algorithm; local evaluation rule; wireless LAN system; wireless access point configuration; Application software; Circuits; Communication cables; Genetic algorithms; Local area networks; Microcomputers; Time measurement; Wireless LAN; Wireless networks; Wiring;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2005. The 2005 IEEE Congress on
  • Print_ISBN
    0-7803-9363-5
  • Type

    conf

  • DOI
    10.1109/CEC.2005.1554869
  • Filename
    1554869