• DocumentCode
    3425663
  • Title

    Location estimation accuracy in wireless sensor networks

  • Author

    Patwari, Neal ; Hero, Alfred O., III

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Michigan Univ., Ann Arbor, MI, USA
  • Volume
    2
  • fYear
    2002
  • fDate
    3-6 Nov. 2002
  • Firstpage
    1523
  • Abstract
    The peer-to-peer nature of a wireless sensor network presents the opportunity for accurate and low-configuration sensor location estimation. Range measurements are made between pairs of sensors, regardless of their a priori coordinate knowledge. This paper quantifies via the Cramer-Rao bound (CRB) variance limits on location estimators which use measured time-of-arrival (TOA) or received signal strength (RSS). An extensive campaign measures TOA and RSS in a 44-device multipoint-to-multipoint indoor network for input into maximum-likelihood estimators (MLE) of location. RMS location errors of 1.2 and 2.2 m are demonstrated using TOA and RSS, respectively.
  • Keywords
    ad hoc networks; distance measurement; distributed sensors; indoor radio; maximum likelihood estimation; parameter estimation; 1.2 m; 2.2 m; CRB variance limits; Cramer-Rao bound; MLE; RMS location errors; RSS; TOA measurement; location estimation accuracy; maximum-likelihood estimators; multipoint-to-multipoint indoor network; peer-to-peer network; range measurements; received signal strength; sensor location estimation; time-of-arrival measurement; wireless sensor networks; Constraint optimization; Coordinate measuring machines; Costs; Distributed algorithms; Global Positioning System; Intelligent networks; Peer to peer computing; Power measurement; State estimation; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers, 2002. Conference Record of the Thirty-Sixth Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA, USA
  • ISSN
    1058-6393
  • Print_ISBN
    0-7803-7576-9
  • Type

    conf

  • DOI
    10.1109/ACSSC.2002.1197033
  • Filename
    1197033