• DocumentCode
    692036
  • Title

    Nodes Location Method Based on Correlation Analysis in WSN

  • Author

    Hengliang Tang ; Yanfeng Sun ; Jie Zhu ; Mingru Zhao

  • Author_Institution
    Coll. of Comput. Sci. & Technol., Beijing Univ. of Technol., Beijing, China
  • fYear
    2013
  • fDate
    16-18 Oct. 2013
  • Firstpage
    448
  • Lastpage
    451
  • Abstract
    Automatic nodes location is a key supporting technology in WSN, and gains much more attention with the development of the modern network technology and wireless communication technology. In this paper, a novel locating method based on correlation analysis is presented. First, in order to get the accurate and valid data, the normalization procedure is applied on the original wireless information. Then, the statistical histogram, which can decrease the dimension and weaken the effect of abnormal values for the normalized data, is adopted to summarize the detailed information and to represent the signal information. Finally, a novel nodes location method based on correlation analysis is proposed to evaluate the positions of the unknown nodes. The experiments tested on the public Intel Lab Data demonstrate the feasibility and validity of the proposed locating method for WSN.
  • Keywords
    correlation methods; wireless sensor networks; WSN; automatic nodes location; correlation analysis; locating method; modern network technology; nodes location method; normalization procedure; normalized data; original wireless information; public Intel Lab Data; signal information; statistical histogram; wireless communication technology; Ad hoc networks; Algorithm design and analysis; Correlation; Educational institutions; Feature extraction; Wireless communication; Wireless sensor networks; WSN; correlation analysis; nodes location;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Information Hiding and Multimedia Signal Processing, 2013 Ninth International Conference on
  • Conference_Location
    Beijing
  • Type

    conf

  • DOI
    10.1109/IIH-MSP.2013.117
  • Filename
    6846673