• DocumentCode
    3309565
  • Title

    Design of Node Power Management in WSN Based on Ant Colony Algorithm

  • Author

    Hongsheng, Li ; Sumin, Liu ; Bing, Hu

  • Author_Institution
    Dept. of Autom., Wuhan Univ. of Technol., Wuhan
  • Volume
    1
  • fYear
    2009
  • fDate
    25-26 April 2009
  • Firstpage
    739
  • Lastpage
    743
  • Abstract
    Appropriate node management of networks in the limited resources of the wireless sensor network for effectively control the energy of networks is one of the key points in research on wireless sensor networks. Using of ant colony algorithmpsilas characteristics, self-organized, adaptive and dynamic optimization, this paper proposed a new power management which can reduce the node power and re-establish of a new node routing links, to enhance the viability of the entire network, improve the life of the network. Simulation results show that the ant colony algorithm can be applied to node power management of wireless sensor network a good way with obvious energy-saving.
  • Keywords
    optimisation; telecommunication network management; telecommunication network routing; wireless sensor networks; ant colony algorithm; dynamic optimization; energy-saving; node power management; node routing links; self-organized optimization; wireless sensor network; Algorithm design and analysis; Ant colony optimization; Conference management; Design automation; Energy management; Resource management; Routing; Technology management; Wireless communication; Wireless sensor networks; ant colony algorithm; network routing; node power management; wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Networks Security, Wireless Communications and Trusted Computing, 2009. NSWCTC '09. International Conference on
  • Conference_Location
    Wuhan, Hubei
  • Print_ISBN
    978-1-4244-4223-2
  • Type

    conf

  • DOI
    10.1109/NSWCTC.2009.212
  • Filename
    4908369