• DocumentCode
    3599192
  • Title

    Ultra-low power time synchronization using passive radio receivers

  • Author

    Chen, Yin ; Wang, Qiang ; Chang, Marcus ; Terzis, Andreas

  • Author_Institution
    Comput. Sci. Dept., Johns Hopkins Univ., Baltimore, MD, USA
  • fYear
    2011
  • Firstpage
    235
  • Lastpage
    245
  • Abstract
    Considering its central importance to sensor networks, time synchronization has received extensive attention by the research community. Nevertheless, we argue in this paper that existing approaches introduce undesirable trade-offs. For example, while GPS offers excellent accuracy for outdoor deployments, the high cost and power consumption of GPS receivers make them prohibitive to many applications. Message-passing protocols, such as FTSP, introduce different sets of compromises and constraints. In this paper, we present an inexpensive and ultra-low power (<; 100 μA) mote peripheral, we term the Universal Time Signal Receiver, that leverages the availability of time signals transmitted by dedicated radio stations around the globe to provide access to UTC time with millisecond-level accuracy. We present experimental results measuring signal availability, quality of synchronization across motes, and power consumption. We show that the proposed universal time signal receiver achieves global time synchronization and for applications where millisecond-level precision is sufficient, it consumes up to 1,000 times less energy than GPS or FTSP.
  • Keywords
    passive networks; radio receivers; radio stations; synchronisation; FTSP; GPS receivers; Universal Time Signal Receiver; global time synchronization; message-passing protocols; passive radio receivers; radio stations; sensor networks; ultra-low power time synchronization; universal time signal receiver; Accuracy; Global Positioning System; Message passing; Power demand; Protocols; Receivers; Synchronization; Low-power; Time Signal; Time Synchronization; Wireless Sensor Networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Processing in Sensor Networks (IPSN), 2011 10th International Conference on
  • Print_ISBN
    978-1-61284-854-9
  • Electronic_ISBN
    978-1-4503-0512-9
  • Type

    conf

  • Filename
    5779041