• DocumentCode
    3578268
  • Title

    Study on Wireless Sensor Network Boundary Localization Based on RSSI

  • Author

    Li-jun Liu ; Hai-jun Ma

  • Author_Institution
    Inst. of Inf. Sci. & Eng., Shenyang Univ. of Technol., Shenyang, China
  • fYear
    2014
  • Firstpage
    232
  • Lastpage
    235
  • Abstract
    To get the accuracy of Wireless Sensor Network boundary node localization and decrease error, this paper present an arithmetic on RSSI (Received Signal Strength Indicator) weighting circulate localization. This arithmetic is based on RSSI, combination of least squares estimate localization algorithm and weighted centroid circulation method. The algorithm firstly is introduced into threshold method for screening of anchor nodes, and then uses the least squares estimate positioning the initial value. Finally, through the weighted centroid circulation method obtain the final measurement coordinates of boundary node. Through experiment simulation, In the case of simulating the real environment, this method can reduce maximum error of the boundary node localization, accurately obtain the boundary node positioning coordinates, improve the precision of the boundary localization.
  • Keywords
    RSSI; least squares approximations; wireless sensor networks; RSSI; boundary node localization; least squares estimate localization algorithm; least squares estimate positioning; received signal strength indicator; weighted centroid circulation method; wireless sensor network boundary localization; Accuracy; Clustering algorithms; Coordinate measuring machines; Equations; Least squares approximations; Mathematical model; Wireless sensor networks; Wireless Sensor Network (WSN); the boundary node;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communication and Sensor Network (WCSN), 2014 International Conference on
  • Print_ISBN
    978-1-4799-7090-2
  • Type

    conf

  • DOI
    10.1109/WCSN.2014.107
  • Filename
    7061730