• DocumentCode
    2890402
  • Title

    Improved Estimation of Clock Offset in Sensor Networks

  • Author

    Chaudhari, Qasim M. ; Serpedin, Erchin ; Wu, Yik-Chung

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Texas A&M Univ., College Station, TX, USA
  • fYear
    2009
  • fDate
    14-18 June 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Clock synchronization is an important issue for the design of a network composed of small sensor nodes. Based on the two-way timing message exchange mechanism and assuming an exponential network delay distribution, many analytical results have been presented in the literature by applying the techniques from statistical signal processing. This paper derives the minimum variance unbiased estimator for the clock offset for both symmetric and asymmetric exponential delay cases. For the asymmetric delays, it is shown to be a function of both the minimum and the mean link delays. This result is a very significant contribution since only the minimum link delay observations have been used to estimate the clock offset in the past. For the symmetric case, it is shown to coincide with the maximum likelihood estimator. In addition, the result is also applicable to clock synchronization problem in general computer networks.
  • Keywords
    exponential distribution; maximum likelihood estimation; signal processing; synchronisation; clock offset; clock synchronization; exponential network delay distribution; maximum likelihood estimator; minimum variance unbiased estimator; sensor networks; Clocks; Computer networks; Delay estimation; Maximum likelihood estimation; Peer to peer computing; Protocols; Signal analysis; Synchronization; Timing; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, 2009. ICC '09. IEEE International Conference on
  • Conference_Location
    Dresden
  • ISSN
    1938-1883
  • Print_ISBN
    978-1-4244-3435-0
  • Electronic_ISBN
    1938-1883
  • Type

    conf

  • DOI
    10.1109/ICC.2009.5199072
  • Filename
    5199072