• DocumentCode
    1778859
  • Title

    Green AP Dynamic and Adaptive Control Algorithm

  • Author

    Ma Lin ; Zheng Xiuming ; Qin Danyang ; Lu Yang

  • Author_Institution
    Harbin Inst. of Technol. Commun. Res. Center, Harbin, China
  • fYear
    2014
  • fDate
    18-20 Sept. 2014
  • Firstpage
    299
  • Lastpage
    305
  • Abstract
    Wireless local networks (WLANs) are being deployed rapidly all over the world, which often contain large numbers of idle APs. The purpose of Green WLAN is to reduce the energy consumption without compromising the quality of service for end-users. In this paper, a dynamic and adaptive control algorithm of AP is proposed in order to save energy and prolong the service lives of APs. It includes AP selection which is solved with genetic algorithm and aimed to guarantee the whole coverage of WLAN, AP clustering, and the dynamic control algorithm of AP. Then simulation is operated on a virtual WLAN of high-density. The result shows that the dynamic and adaptive control algorithm of AP can indeed save much energy and improve the use efficiency of APs.
  • Keywords
    adaptive control; genetic algorithms; green computing; power aware computing; quality of service; wireless LAN; workstation clusters; AP clustering; WLANs; energy consumption reduction; genetic algorithm; green AP adaptive control algorithm; green AP dynamic control algorithm; green WLAN; quality of service; use efficiency; virtual WLAN; wireless local networks; Clustering algorithms; Genetic algorithms; Green products; Heuristic algorithms; Quality of service; Telecommunication traffic; Wireless LAN; AP selection; energy saving; genetic algorithm; green WLAN;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Instrumentation and Measurement, Computer, Communication and Control (IMCCC), 2014 Fourth International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4799-6574-8
  • Type

    conf

  • DOI
    10.1109/IMCCC.2014.69
  • Filename
    6995039