• DocumentCode
    1720882
  • Title

    A meshless method for DV-HOP localization

  • Author

    Wei, Gong ; He, Xin ; Zhou, Bin ; Wei, Wei

  • Author_Institution
    Henan Vocational & Tech. Coll. of Commun., Zhengzhou, China
  • Volume
    2
  • fYear
    2010
  • Abstract
    Localization of sensor nodes is the foundation of the entire wireless sensor network. The article introduces the localization process of sensor nodes of DV-HOP algorithm. Based on this, it proposes an improved DV-HOP algorithm which based on meshless weighted least square method. Highly effective non-grid method can be An effective solution to the traditional numerical method for solving dynamic problems the grid limitations defects. In this paper, the calculation of matrix condition number is given a new Select the penalty function method, and weighted least squares meshless method is presented based on weighted least squares Jiaoyou meshless methods to improve The stability of the method and applied to solve two-dimensional Poisson equation. Examples show: The method was smaller, and be able to ensure more High accuracy. The new algorithm introduced a weighted method related with hops to differentiate the anchor node influence, and proposed a new method of determining location of the node. The simulation results show that the proposed improvements can greatly enhance the localization accuracy of the nodes.
  • Keywords
    Poisson equation; least squares approximations; wireless sensor networks; DV-HOP localization; Poisson equation; sensor nodes; weighted least squares Jiaoyou meshless method; wireless sensor network; Accuracy; Finite element methods; Least squares approximation; Monitoring; Numerical stability; Signal processing algorithms; Wireless sensor networks; DV-HOP; Localizatin of sensor nodes; meshless method; meshless weighted Least-Square method; penalty functions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Systems (ICSPS), 2010 2nd International Conference on
  • Conference_Location
    Dalian
  • Print_ISBN
    978-1-4244-6892-8
  • Electronic_ISBN
    978-1-4244-6893-5
  • Type

    conf

  • DOI
    10.1109/ICSPS.2010.5555746
  • Filename
    5555746