• DocumentCode
    616534
  • Title

    Fault-tolerant implementation of a distributed MLE-based time synchronization protocol for wireless sensor networks

  • Author

    Djenouri, Djamel ; Merabtine, Nassima ; Mekahlia, Fatma Zohra ; Doudou, Messaoud

  • Author_Institution
    CERIST Res. Center, Algiers, Algeria
  • fYear
    2013
  • fDate
    7-10 April 2013
  • Firstpage
    4387
  • Lastpage
    4391
  • Abstract
    This paper describes the implementation and evaluation of R4Syn protocol on MICAz platform and TinyOS operating system. The contribution is two folds. First, the implementation uses thorough maximum-likelihood estimators (MLE) in the joint offset/skew model, while all similar MLEbased estimators are merely evaluated with theoretical and numerical analysis thus far, and empirical solutions use simple computation estimators, such as offset-only models, or linear regression for skew estimation. Difficulties that has been encountered and overcome are reported in this paper. The second contribution is to consider fault-tolerance, an aspect that has been completely abstracted in previous works. The implementation assures correct behavior despite nodes failure or packet loss, as demonstrated by the experiments. Experimental results also demonstrate microsecond-level precision and long-term validity of the estimators in the joint skew/offset model.
  • Keywords
    fault tolerance; maximum likelihood estimation; operating systems (computers); protocols; wireless sensor networks; MICAz platform; R4Syn protocol; TinyOS operating system; distributed MLE-based time synchronization protocol; fault tolerance; joint skew-offset model; linear regression; maximum likelihood estimators; nodes failure; packet loss; skew estimation; wireless sensor networks; Clocks; Joints; Maximum likelihood estimation; Protocols; Sensors; Synchronization; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications and Networking Conference (WCNC), 2013 IEEE
  • Conference_Location
    Shanghai
  • ISSN
    1525-3511
  • Print_ISBN
    978-1-4673-5938-2
  • Electronic_ISBN
    1525-3511
  • Type

    conf

  • DOI
    10.1109/WCNC.2013.6555284
  • Filename
    6555284