Citation
Terrell Bennet. "A Data-driven Synchronization Technique for Cyber-Physical Systems". Talk or presentation, 13, April, 2015.

Abstract
We present a method to synchronize data from multiple sensors in a cyber-physical system without any software or hardware modifications to the sensors. We use the events in the physical world to drive the synchronization in the cyber world. We can detect the proper timing and order of the sensor data when it does not match. We propose two models for events: one leveraging the notion of known templates and the other using an information theoretic approach. Using the event models as well as cues from the delay models, we determine alignment points between the data streams. These alignment points are used to synchronize the data. This novel approach is based solely on the sensor data for synchronization. Additionally, it can be applied post-deployment on systems of heterogeneous sensors that are not well designed and lack effective synchronization. The data driven alignment and synchronization algorithm shows an improvement in accuracy (ppm) of one to two orders of magnitude.

Electronic downloads

• 1C_Bennet-DataDrivenSynch_Published.pdf · application/pdf · 2158 kbytes

• HTML

  Terrell Bennet. <a
  href="http://www.terraswarm.org/pubs/557.html"
  ><i>A Data-driven Synchronization Technique for
  Cyber-Physical Systems</i></a>, Talk or
  presentation,  13, April, 2015.

• Plain text

  Terrell Bennet. "A Data-driven Synchronization
  Technique for Cyber-Physical Systems". Talk or
  presentation,  13, April, 2015.

• BibTeX

  @presentation{Bennet15_DatadrivenSynchronizationTechniqueForCyberPhysical,
      author = {Terrell Bennet},
      title = {A Data-driven Synchronization Technique for
                Cyber-Physical Systems},
      day = {13},
      month = {April},
      year = {2015},
      abstract = {We present a method to synchronize data from
                multiple sensors in a cyber-physical system
                without any software or hardware modifications to
                the sensors. We use the events in the physical
                world to drive the synchronization in the cyber
                world. We can detect the proper timing and order
                of the sensor data when it does not match. We
                propose two models for events: one leveraging the
                notion of known templates and the other using an
                information theoretic approach. Using the event
                models as well as cues from the delay models, we
                determine alignment points between the data
                streams. These alignment points are used to
                synchronize the data. This novel approach is based
                solely on the sensor data for synchronization.
                Additionally, it can be applied post-deployment on
                systems of heterogeneous sensors that are not well
                designed and lack effective synchronization. The
                data driven alignment and synchronization
                algorithm shows an improvement in accuracy (ppm)
                of one to two orders of magnitude.},
      URL = {http://terraswarm.org/pubs/557.html}
  }
  

Posted by Armin Wasicek on 7 May 2015.