• DocumentCode
    3076682
  • Title

    Determining Sink Node Locations in Wireless Sensor Networks

  • Author

    Yang, Lili

  • Author_Institution
    Loughborough Univ., Loughborough
  • Volume
    4
  • fYear
    2006
  • fDate
    8-11 Oct. 2006
  • Firstpage
    3400
  • Lastpage
    3404
  • Abstract
    This paper explores the idea of determining the sink node location in wireless sensor networks by applying genetic algorithms. Sink nodes play an important role in and are cluster centers of wireless sensor networks. Optimal location of sink nodes can save transmission energy and improve the transmission speed. Many obstacles in the application scene may prevent the sink nodes to be located in certain places. By applying a genetic algorithm the location optimization problem of the sink nodes is formed with the obstacles in the scene as a constraint. The simulation results show that employing multiple sink nodes in a sensor network would significantly increase the lifetime of the sensor network and the environment of the application scene can be properly considered in the determination of the sink node locations.
  • Keywords
    genetic algorithms; wireless sensor networks; genetic algorithms; location optimization problem; sink node locations; transmission energy; wireless sensor networks; Capacitive sensors; Computer science; Constraint optimization; Cybernetics; Genetic algorithms; Internet; Layout; Routing; Search problems; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 2006. SMC '06. IEEE International Conference on
  • Conference_Location
    Taipei
  • Print_ISBN
    1-4244-0099-6
  • Electronic_ISBN
    1-4244-0100-3
  • Type

    conf

  • DOI
    10.1109/ICSMC.2006.384644
  • Filename
    4274408