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Ultra-low power time synchronization using passive radio receivers

  • Yin Chen*
  • , Qiang Wang
  • , Marcus Chang
  • , Andreas Terzis
  • *Corresponding author for this work
  • Johns Hopkins University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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 A) 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.

Original languageEnglish
Title of host publicationProceedings of the 10th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN'11
Pages235-245
Number of pages11
StatePublished - 2011
Event10th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN'11 - Chicago, IL, United States
Duration: 12 Apr 201114 Apr 2011

Publication series

NameProceedings of the 10th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN'11

Conference

Conference10th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN'11
Country/TerritoryUnited States
CityChicago, IL
Period12/04/1114/04/11

Keywords

  • Low-power
  • Time Signal
  • Time Synchronization
  • Wireless Sensor Networks

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