• DocumentCode
    559925
  • Title

    Localization Algorithm for Wireless Sensor Network Based on Energy Threshold

  • Author

    Yang, Guang-xue ; Jing, Biao

  • Author_Institution
    Electr. & Electron. Eng., Harbin Univ. of Sci. & Technol., Harbin, China
  • Volume
    2
  • fYear
    2011
  • fDate
    24-25 Sept. 2011
  • Firstpage
    193
  • Lastpage
    197
  • Abstract
    In order to reduce the probabilities of In-To-Out error and Out-To-In error in APIT localization algorithm and locate more unknown nodes, an improved algorithm based on energy threshold is proposed in this paper. By introducing a certain energy threshold, the unknown nodes that are too close to the anchor node triangles that easily lead to a miscarriage of justice are removed. Besides, the unknown nodes surrounded by two anchor nodes are located. Using iteration, the located unknown nodes are seen as anchor nodes to locate more unknown nodes. Simulation results show that compared with the traditional APIT location algorithm, for the same number of anchor nodes, the location algorithm based on the energy threshold can locate the unknown nodes surrounded less than three anchor nodes and remove the information come from the unknown nodes that easily lead to miscarriage of justice. Thus, the improved algorithm reduces the probabilities of In-To-Out error and Out-To-In error effectively and locates more unknown nodes.
  • Keywords
    iterative methods; sensor placement; wireless sensor networks; APIT localization algorithm; anchor nodes; energy threshold; in-to-out error probability reduction; iteration; out-to-in error probability reduction; unknown node location; wireless sensor network; Accuracy; Algorithm design and analysis; Educational institutions; Equations; Mathematical model; Signal processing algorithms; Wireless sensor networks; APIT; energy threshold; location; wireless sensor network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology, Computer Engineering and Management Sciences (ICM), 2011 International Conference on
  • Conference_Location
    Nanjing, Jiangsu
  • Print_ISBN
    978-1-4577-1419-1
  • Type

    conf

  • DOI
    10.1109/ICM.2011.376
  • Filename
    6113500