Data Driven Synchronization for Internet of Things Systems
Terrell R. Bennett, Gans Nicholas, Roozbeh Jafari

Citation
Terrell R. Bennett, Gans Nicholas, Roozbeh Jafari. "Data Driven Synchronization for Internet of Things Systems". Talk or presentation, 14, October, 2015; Poster presented at the 2015 TerraSwarm Annual Meeting.

Abstract
We present novel techniques for synchronizing data from multi-sensor environments with heterogeneous timing information. The internet of things (IoT) is fueled by the growth of sensors, along with the actuators and services that collect and process the sensor data. Wearable and environmental sensors will be a big part of the IoT and provide context about people and the activities that are occurring. As this collection of heterogeneous sensors provide data, the data can be combined to gain greater understanding of the system and the environment being measured. It is imperative that sensors are synchronized, which increases the usefulness and value of the sensor data and allows data from multiple sources to be combined and compared. With a heterogeneous sensor network, it is necessary to have techniques that can synchronize data independent of any specific protocols without the addition of specific hardware or software to each sensor. Our techniques leverage the events measured by sensors to synchronize the sensor data. We validate our technique through experiments using wearable and environmental sensors to synchronize sensor data and reduce timing error in the system. Experimental results over two trials show an improvement of 21.5% and 43.7% for total drift and 59.4% and 60.7% for average drift.

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Citation formats

• HTML

  Terrell R. Bennett, Gans Nicholas, Roozbeh Jafari. <a
  href="http://www.terraswarm.org/pubs/659.html"><i>Data
  Driven Synchronization for Internet of Things
  Systems</i></a>, Talk or presentation,  14,
  October, 2015; Poster presented at the <a
  href="http://terraswarm.org/conferences/15/annual"
  >2015 TerraSwarm Annual Meeting</a>.

• Plain text

  Terrell R. Bennett, Gans Nicholas, Roozbeh Jafari.
  "Data Driven Synchronization for Internet of Things
  Systems". Talk or presentation,  14, October, 2015;
  Poster presented at the <a
  href="http://terraswarm.org/conferences/15/annual"
  >2015 TerraSwarm Annual Meeting</a>.

• BibTeX

  @presentation{BennettNicholasJafari15_DataDrivenSynchronizationForInternetOfThingsSystems,
      author = {Terrell R. Bennett and Gans Nicholas and Roozbeh
                Jafari},
      title = {Data Driven Synchronization for Internet of Things
                Systems},
      day = {14},
      month = {October},
      year = {2015},
      note = {Poster presented at the <a
                href="http://terraswarm.org/conferences/15/annual"
                >2015 TerraSwarm Annual Meeting</a>},
      abstract = {We present novel techniques for synchronizing data
                from multi-sensor environments with heterogeneous
                timing information. The internet of things (IoT)
                is fueled by the growth of sensors, along with the
                actuators and services that collect and process
                the sensor data. Wearable and environmental
                sensors will be a big part of the IoT and provide
                context about people and the activities that are
                occurring. As this collection of heterogeneous
                sensors provide data, the data can be combined to
                gain greater understanding of the system and the
                environment being measured. It is imperative that
                sensors are synchronized, which increases the
                usefulness and value of the sensor data and allows
                data from multiple sources to be combined and
                compared. With a heterogeneous sensor network, it
                is necessary to have techniques that can
                synchronize data independent of any specific
                protocols without the addition of specific
                hardware or software to each sensor. Our
                techniques leverage the events measured by sensors
                to synchronize the sensor data. We validate our
                technique through experiments using wearable and
                environmental sensors to synchronize sensor data
                and reduce timing error in the system.
                Experimental results over two trials show an
                improvement of 21.5% and 43.7% for total drift and
                59.4% and 60.7% for average drift.},
      URL = {http://terraswarm.org/pubs/659.html}
  }
  

Posted by Terrell R. Bennett on 10 Oct 2015.
Groups: tools