• DocumentCode
    3265034
  • Title

    Getting Mobile Beacon Node Path in WSN Based on Ant Colony Algorithm

  • Author

    Bing, Hu ; Hongsheng, Li ; Sumin, Liu

  • Author_Institution
    Wuhan Univ. of Technol., Mech. & Autom., Wuhan, China
  • Volume
    2
  • fYear
    2009
  • fDate
    6-7 June 2009
  • Firstpage
    22
  • Lastpage
    25
  • Abstract
    Because of restricted resources, wireless sensor networks need to consider synthetically the price of networks, and costs of communication and computing and so on. Aiming at the localization problem for mobile beacon node in wireless sensor network, this paper uses the ant colony algorithmpsilas characteristics which is self-organized, adaptive, dynamic optimization, integrating the hop number into the pheromone and supporting multiple paths, and proposed a kind of method for getting the mobile beacon node optimal path based on ant colony algorithm. Furthermore, various factors are analyzed for getting optimal path. Experimental results show that the proposed method is efficient.
  • Keywords
    mobile radio; optimisation; wireless sensor networks; ant colony algorithm; dynamic optimization; mobile beacon node path; wireless sensor networks; Ant colony optimization; Automation; Cities and towns; Computational intelligence; Computer networks; Costs; Mathematical model; Mobile computing; Position measurement; Wireless sensor networks; ant colony algorithm; mobile beacon; node localization; wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Natural Computing, 2009. CINC '09. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-0-7695-3645-3
  • Type

    conf

  • DOI
    10.1109/CINC.2009.149
  • Filename
    5231046