A Data-driven Synchronization Technique for Cyber-Physical Systems
Terrell Bennet

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.

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Citation formats  
  • 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.

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