• DocumentCode
    3519211
  • Title

    Research on Improved Multidimensional Scaling Localization Algorithm for Wireless Sensor Network

  • Author

    Tao, Liang ; Shuai, Xu ; Haiyong, Chen ; Hexu, Xun

  • Author_Institution
    Inst. of Electr. & Autom., Hebei Univ. of Technol., Tianjin, China
  • Volume
    2
  • fYear
    2010
  • fDate
    11-12 Nov. 2010
  • Firstpage
    240
  • Lastpage
    243
  • Abstract
    Wireless sensor networks, which are energy limited, low hardware configuration and proneness to invalidation, puts a high demand on the positioning algorithm. Therefore the improved multidimensional scaling (IMDS) algorithm is proposed. In IMDS, firstly, local positioning areas (LPA) are established by an adaptive search algorithm. So the centralized multidimensional scaling algorithm is changed into a distributed algorithm. Then the shortest path distances between nodes on LPA are corrected with the geometric correction method (GCM) and adjusting weight correction method (AWCM). The distances between nodes become more accurate. Finally, with information of the public nodes of LPA and anchor nodes, we get the wireless sensor nodes coordinates through coordinate transformation by the SMACOF algorithm and the classical multidimensional scaling algorithm.
  • Keywords
    Global Positioning System; distributed algorithms; matrix algebra; wireless sensor networks; AWCM; GCM; IMDS; LPA; SMACOF algorithm; adaptive search algorithm; adjusting weight correction method; geometric correction method; improved multidimensional scaling localization algorithm; local positioning area; wireless sensor network; Distance Correction; Local Positioning Areas; Multidimensional Scaling Positioning; Wireless Sensor Network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Optoelectronics and Image Processing (ICOIP), 2010 International Conference on
  • Conference_Location
    Haiko
  • Print_ISBN
    978-1-4244-8683-0
  • Type

    conf

  • DOI
    10.1109/ICOIP.2010.45
  • Filename
    5663416