• DocumentCode
    2579072
  • Title

    Node power management design in wireless sensor networks based on genetic algorithm

  • Author

    Li, Hongsheng ; Ding, Yongzhong ; Zhang, Zhoumin ; Zhang, Haiyan

  • Author_Institution
    Sch. of Autom., Wuhan Univ. of Technol., Wuhan, China
  • Volume
    1
  • fYear
    2010
  • fDate
    30-31 May 2010
  • Firstpage
    191
  • Lastpage
    194
  • Abstract
    Node power management is one of the key problems in wireless sensor networks. This paper proposes a new power management method by using genetic algorithm which has the characteristic of auto-adapted global optimization probability searching. Under the condition of connectivity between the nodes, this new method can calculate the optimum route link from the source node to the destination node of the entire wireless sensor network, thus reduces quantity of communication link nodes as well as entire network power. The simulation results indicated that the genetic algorithm can be applied perfectly in the nodes power management and effect of the energy conservation is obvious.
  • Keywords
    genetic algorithms; probability; telecommunication network management; wireless sensor networks; autoadapted global optimization probability searching; communication link; energy conservation; genetic algorithm; node power management design; wireless sensor networks; Algorithm design and analysis; Biological cells; Biological system modeling; Energy conservation; Energy management; Evolution (biology); Extraterrestrial phenomena; Genetic algorithms; Genetic mutations; Wireless sensor networks; genetic algorithm; optimal path; power management; wireless sensor network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Networking and Digital Society (ICNDS), 2010 2nd International Conference on
  • Conference_Location
    Wenzhou
  • Print_ISBN
    978-1-4244-5162-3
  • Type

    conf

  • DOI
    10.1109/ICNDS.2010.5479596
  • Filename
    5479596