• DocumentCode
    2811349
  • Title

    Ranging energy optimization for robust sensor positioning with collaborative anchors

  • Author

    Wang, Tao ; Leus, Geert

  • Author_Institution
    Fac. of EEMCS, Delft Univ. of Technol., Delft, Netherlands
  • fYear
    2010
  • fDate
    14-19 March 2010
  • Firstpage
    2714
  • Lastpage
    2717
  • Abstract
    We propose a sensor positioning scheme for a wireless sensor network consisting of beacons as well as collaborative anchors (CA) to help sensors within a prescribed service area to locate themselves. We assume a robust performance is achieved in the sense that a prescribed location accuracy requirement is fulfilled within the service area. Under the assumption that the time-of-arrival and location estimators adopted achieve the associated Cramér-Rao bound, the performance of the location scheme is derived and analyzed. A ranging energy optimization problem is proposed, and a practical algorithm is presented. The effectiveness of this algorithm is illustrated by numerical experiments.
  • Keywords
    anchors; mobile computing; optimisation; time-of-arrival estimation; wireless sensor networks; Cramer-Rao bound; collaborative anchors; location estimation; ranging energy optimization; robust sensor positioning; time-of-arrival estimation; wireless sensor network; Central Processing Unit; Collaboration; Content addressable storage; Global Positioning System; Position measurement; Robustness; Sensor fusion; Sensor systems; Tin; Wireless sensor networks; Cramér-Rao bound; Wireless sensor network; localization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on
  • Conference_Location
    Dallas, TX
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4244-4295-9
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2010.5496227
  • Filename
    5496227