• DocumentCode
    3030132
  • Title

    Cluster-Based Ranging for Accurate Localization in Wireless Sensor Neworks

  • Author

    Sergi, Simone ; Pancaldi, Fabrizio ; Vitetta, Giorgio Matteo

  • Author_Institution
    Dept. of Inf. Engeneering, Univ. of Modena e Reggio Emilia, Modena, Italy
  • fYear
    2009
  • fDate
    14-18 June 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In this paper a novel ranging technique based on received signal strength (RSS) and suitable to indoor scenarios is illustrated. The proposed technique improves the quality of RSS- based estimation of an anchor-target distance processing multiple power measurements associated with the signals radiated by a cluster of nodes surrounding the target. Specific algorithms for the generation of a cluster and for the acquisition of power measurements are described. Simulation results show that, when used in indoor positioning systems, the proposed ranging technique is substantially more accurate than non cooperative strategies. In addition it allows to concentrate significant processing tasks in a limited number of fixed anchors, so reducing maintenance costs and making possible to adopt cheap and simple portable wireless nodes.
  • Keywords
    indoor radio; radio direction-finding; wireless sensor networks; anchor-target distance processing; cluster-based ranging technique; indoor positioning system; maintenance cost reduction; multiple power measurement; received signal strength; wireless sensor network localization; Clustering algorithms; Costs; Distance measurement; Fading; Indoor environments; Power generation; Power measurement; Signal processing; Signal processing algorithms; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications Workshops, 2009. ICC Workshops 2009. IEEE International Conference on
  • Conference_Location
    Dresden
  • Print_ISBN
    978-1-4244-3437-4
  • Type

    conf

  • DOI
    10.1109/ICCW.2009.5207987
  • Filename
    5207987