• DocumentCode
    2159183
  • Title

    Analysis of stand-alone GPS for relative location discovery in wireless sensor networks

  • Author

    Zhou, Y. ; Schembri, J. ; Lamont, L. ; Bird, J.

  • Author_Institution
    Commun. Res. Centre Canada, Ottawa, ON
  • fYear
    2009
  • fDate
    3-6 May 2009
  • Firstpage
    437
  • Lastpage
    441
  • Abstract
    In this paper, we use experiments to examine the accuracy of standalone Global positioning System (GPS) for relative location discovery in wireless sensor networks. The relative locations are obtained by comparison of stand-alone global GPS position fixes. We seek to find out if stand-alone GPS measurements from inexpensive GPS receivers can result in the relative positioning accuracies desired. Various sensor deployment scenarios are used that are representative of the real operational conditions of wireless sensor network applications. The ground truth sensor node locations are estimated by measuring the internode distances between all the sensor node and applying the multidimensional Scaling (MDS) technique. The analysis is based on the approach of Procrustes analysis. An optimal rigid transformation is obtained using a least squares method to estimate the root mean square errors of the GPS relative positions. Based on the results, conclusions and discussions are made about the suitability of stand-alone GPS as a localization tool in wireless sensor networks.
  • Keywords
    Global Positioning System; ad hoc networks; least mean squares methods; wireless sensor networks; Global positioning System; least squares method; multidimensional scaling technique; procrustes analysis; relative location discovery; root mean square error method; stand-alone GPS analysis; wireless ad-hoc sensor network; Ad hoc networks; Computer networks; Global Positioning System; Intelligent networks; Intelligent sensors; Least squares methods; Multidimensional systems; Position measurement; Satellites; Wireless sensor networks; GPS; MDS; Procrustes Analysis; least squares; localization; ultrasound ranging; wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Computer Engineering, 2009. CCECE '09. Canadian Conference on
  • Conference_Location
    St. John´s, NL
  • ISSN
    0840-7789
  • Print_ISBN
    978-1-4244-3509-8
  • Electronic_ISBN
    0840-7789
  • Type

    conf

  • DOI
    10.1109/CCECE.2009.5090171
  • Filename
    5090171