NDLI: Recovering temporal integrity with Data Driven Time Synchronization

Content Provider	IEEE Xplore Digital Library
Author	Lukac, M. Davis, P. Clayton, R. Estrin, D.
Copyright Year	2009
Description	Author affiliation: Center For Embedded Networked Sensing, UCLA Earth and Space Sciences, USA (Davis, P.) \|\| Center For Embedded Networked Sensing, Caltech Division of Geological and Planetary Sciences, USA (Clayton, R.) \|\| Center For Embedded Networked Sensing, UCLA Computer Science, USA (Lukac, M.; Estrin, D.)
Abstract	Data Driven Time Synchronization (DDTS) provides synchronization across sensors by using underlying characteristics of data collected by an embedded sensing system. 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 between 0.05 and 0.2 seconds. Our ongoing work will attempt to refine the model to correct the offsets to less than 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.
Starting Page	61
Ending Page	72
File Size	1377001
Page Count	12
File Format	PDF
ISBN	9781424451081
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-04-13
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Association for Computing Machinery, Inc. (ACM)
Subject Keyword	Embedded computing Geology Geoscience Background Noise Correlation Sensor phenomena and characterization Time Synchronization Background noise Global Positioning System Earth Microseisms Permission Hardware Computer networks
Content Type	Text
Resource Type	Article

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