Lukac, Martin and Davis, Paul and Clayton, Robert and Estrin, Deborah (2009) Recovering Temporal Integrity with Data Driven Time Synchronization. In: 2009 International Conference on Information Processing in Sensor Networks. IEEE , Piscataway, NJ, pp. 61-72. ISBN 978-1-4244-5108-1 http://resolver.caltech.edu/CaltechAUTHORS:20101112-132017736
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Data Driven Time Synchronization (DDTS) provides synchronization across sensors by using underlying characteristics of data collected by an embedded sensing sys- tem. We apply the concept of Data Driven Time Synchronization through a seismic deployment consisting of 100 seismic sensors to repair data that was not time synchronized correctly. This deployment used GPS for time synchronization but due to system faults common to environmental sensing systems, data was collected with large time offsets. In seismic deployments, offset data is often never used but we show that Data Driven Time Synchronization can recover the synchronization and make the data usable. To implement Data Driven Time Synchronization to repair the time offsets we use microseisms as the underlying characteristics. Microseisms are waves that travel through the earth’s crust and are independent of the seismic events used for the study of the earth’s structure. We have developed a model of microseism propagation through a linear seismic array and use the model to obtain time correction shifts. By simulating time offsets in real data which does not have offsets, we determined that this method is able to repair the offset to less than 0.2 seconds. Our ongoing work will attempt to refine the model to correct the offsets to 0.05 seconds and evaluate how errors in the correction affect seismic results such as event location. Data Driven Time Synchronization may be applicable to other high data rate embedded sensing applications such as acoustic source localization.
|Item Type:||Book Section|
|Additional Information:||© 2009 ACM. Issue Date: 13-16 April 2009. Date of Current Version: 21 August 2009. We would like to thank Akos Ledeczi and the reviewers for their feedback and suggestions. The MASE array and this work were partially supported under NSF Cooperative Agreement #CCR-0120778. The MASE array was partially supported by the Gordon and Betty Moore Foundation through the Tectonics Observatory at Caltech. Contribution number 110 from the Tectonics Observatory.|
|Group:||Caltech Tectonics Observatory|
|Subject Keywords:||Time Synchronization; Microseisms; Background Noise Correlation|
|Other Numbering System:|
|Official Citation:||Lukac, M.; Davis, P.; Clayton, R.; Estrin, D.; , "Recovering temporal integrity with Data Driven Time Synchronization," Information Processing in Sensor Networks, 2009. IPSN 2009. International Conference on , vol., no., pp.61-72, 13-16 April 2009 URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5211942&isnumber=5211879|
|Usage Policy:||No commercial reproduction, distribution, display or performance rights in this work are provided.|
|Deposited By:||Tony Diaz|
|Deposited On:||17 Nov 2010 22:17|
|Last Modified:||29 Mar 2014 02:54|
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