• DocumentCode
    2492151
  • Title

    Localization scheme for large scale Wireless Sensor Networks

  • Author

    Tinh, Pham Doan ; Noguchi, Taku ; Kawai, Makoto

  • Author_Institution
    Grad. Sch. of Sci. & Eng., Ritsumeikan Univ., Kusatsu
  • fYear
    2008
  • fDate
    15-18 Dec. 2008
  • Firstpage
    25
  • Lastpage
    30
  • Abstract
    Localization of Wireless Sensor Networks (WSNs) is an issue for location-based services. This paper proposes a new Wireless Sensor Network Localization Scheme based on Self-Organizing Maps (SOM) to deal with this issue. Our scheme utilizes only connectivity information and information from some heard anchors in the network to determine the location of nodes. With anisotropic topologies or topologies having obstacles, localization schemes tend to get higher error. Our scheme not only solves well the isotropic networks, but also minimizes the error in anisotropic networks and networks having obstacles by filtering the information from heard anchors. From our intensive simulations, the results show that the proposed scheme achieves very good accuracy in most cases.
  • Keywords
    self-organising feature maps; signal processing; wireless sensor networks; anisotropic topology; localization scheme; node location; self organizing maps; wireless sensor networks; Anisotropic magnetoresistance; Educational institutions; Information filtering; Information filters; Large-scale systems; Lattices; Multidimensional systems; Network topology; Self organizing feature maps; Wireless sensor networks; Anchor; Localization; SOM; WSN;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Sensors, Sensor Networks and Information Processing, 2008. ISSNIP 2008. International Conference on
  • Conference_Location
    Sydney, NSW
  • Print_ISBN
    978-1-4244-3822-8
  • Electronic_ISBN
    978-1-4244-2957-8
  • Type

    conf

  • DOI
    10.1109/ISSNIP.2008.4761957
  • Filename
    4761957