• DocumentCode
    153802
  • Title

    Node Synchronization in a Wireless Sensor Network Using Unreliable GPS Signals

  • Author

    Fuhrmann, Danniel R. ; Stomberg, Joshua ; Nooshabadi, Saeid ; McIntire, Dustin ; Merill, William

  • Author_Institution
    Depts. of Electr. & Comput. Eng., Comput. Sci. Michigan Technol. Univ., Houghton, MI, USA
  • fYear
    2014
  • fDate
    6-8 Oct. 2014
  • Firstpage
    630
  • Lastpage
    636
  • Abstract
    This paper presents our findings in using pulse measurements from a jittery one pulse per second (pps) global positioning system (GPS) clock, to synchronize the real-time clock (RTC) in each node of a wireless sensor network, when the timing jitter is subject to a empirically determined bimodal non-Gaussian distribution. Specifically, we 1) estimate the RTC phase and align it with an estimate of the true time phase, 2) calibrate the frequency of a 19.2 MHz low-cost temperature compensated crystal oscillator (TCXO) that drives the one pps RTC, and 3) track and compensate TCXO frequency variations due to environmental and aging effects. In our GPS driven synchronization methodology we adopt a statistical signal processing framework to estimate the 2% percentile in the bimodal distribution, perform a long-term frequency calibration with fractional frequency adjustment, and track the changes in the TCXO frequency to within three tick per second over a nominal 19.2 MHz frequency with an adjustment made every four hours.
  • Keywords
    Global Positioning System; ageing; crystal oscillators; jitter; wireless sensor networks; GPS-driven synchronization methodology; RTC phase; TCXO frequency variations; bimodal distribution; bimodal nonGaussian distribution; fractional frequency adjustment; frequency 19.2 MHz; frequency calibration; node synchronization; real-time clock; statistical signal processing; temperature-compensated crystal oscillator; timing jitter; unreliable GPS signals; wireless sensor network; Frequency estimation; Global Positioning System; Kalman filters; Standards; Synchronization; Time-frequency analysis; Wireless sensor networks; GPS; Kalman filtering; clock synchronization; wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Military Communications Conference (MILCOM), 2014 IEEE
  • Conference_Location
    Baltimore, MD
  • Type

    conf

  • DOI
    10.1109/MILCOM.2014.111
  • Filename
    6956832