• DocumentCode
    2303830
  • Title

    Performance analysis of VCN and CFOSSDL localization algorithms in wireless sensor networks

  • Author

    Liu Yang ; Xiao Hairong ; Xing Jianping ; Wu Hua ; Zhang Hui ; Wu Xiaoming ; Zhong Linghui

  • Author_Institution
    Sch. of Inf. Sci. & Electr. Eng., Shandong Jiaotong Univ., Jinan, China
  • fYear
    2012
  • fDate
    29-31 Dec. 2012
  • Firstpage
    1651
  • Lastpage
    1654
  • Abstract
    A node self-localization algorithm based on virtual central node (VCN) and another CF_OSSDL method which stems from classic DV-Hop propagation algorithm are proposed respectively in our papers before. In this paper comprehensive analysis of the two algorithms are listed. In VCN algorithm, by deducing a 3D special node, which is called the virtual central node, unknown nodes can compute their own positions automatically. Differently in CF_OSSDL algorithm, by computing optimum space step distance between unknown nodes and anchor nodes in which sole correction factor of each unknown node is added (CF_OSSDL), all nodes with no position coordinates can realize self-localizing. The localization mechanism has been implemented in Matlab simulation software. Simulating experiments are made to explore the two range-free localization algorithms. The effectiveness and robustness of algorithms are clearly demonstrated through extensive simulation results.
  • Keywords
    mathematics computing; telecommunication computing; wireless sensor networks; 3D special node; CFOSSDL localization; CF_OSSDL method; DV-hop propagation; Matlab simulation software; VCN localization; node self-localization; optimum space step distance; range-free localization; sole correction factor; virtual central node; wireless sensor networks; CFOS SDL; VCN; WSN; localizarìon problem; performance analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Network Technology (ICCSNT), 2012 2nd International Conference on
  • Conference_Location
    Changchun
  • Print_ISBN
    978-1-4673-2963-7
  • Type

    conf

  • DOI
    10.1109/ICCSNT.2012.6526237
  • Filename
    6526237