Published April 2009
| public
Book Section - Chapter
First-class meta-data: a step towards a highly reliable wireless seismic network in Peru
Chicago
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Abstract
A 200-mile long temporary sensor network is inherently fragile, yet domain scientists legitimately demand reli- able sensor data capture and transport. We report here on a currently deployed and operational sensor network system that considers sensor and general system health meta-data to be equally important as sensor data. We argue that this is both essential to, and effective for, reliable system operation. The meta-data constitutes a 0.1% storage space and transport system overhead in a fielded seismic sensing network.
Additional Information
© 2009 ACM. The Peru array and this work were partially supported under NSF Cooperative Agreement #CCR-0120778 and by the Gordon and Betty Moore Foundation through the Caltech Tectonics Observatory contribution number 118.Additional details
- Eprint ID
- 34551
- Resolver ID
- CaltechAUTHORS:20120928-142859688
- NSF
- CCR-0120778
- Gordon and Betty Moore Foundation
- Caltech Tectonics Observatory
- Created
-
2012-09-28Created from EPrint's datestamp field
- Updated
-
2022-11-01Created from EPrint's last_modified field
- Caltech groups
- Caltech Tectonics Observatory, Seismological Laboratory, Division of Geological and Planetary Sciences (GPS)
- Other Numbering System Name
- Caltech Tectonics Observatory
- Other Numbering System Identifier
- 118