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PermaDAQ: a scientific instrument for precision sensing and data recovery in environmental extremes


Beutel, J; Gruber, S; Hasler, A; Lim, R; Meier, A; Plessl, C; Talzi, I; Thiele, L; Tschudin, C; Woehrle, M; Yuecel, M (2009). PermaDAQ: a scientific instrument for precision sensing and data recovery in environmental extremes. In: Institute of Electrical and Electronics Engineers Corporation, IEEE. International Conference on Information Processing in Sensor Networks, 2009: IPSN 2009, San Francisco, California, USA, 13 - 16 April 2009. Piscataway, NJ, US: IEEE, 265-276 .

Abstract

The PermaSense project has set the ambitious goal of gathering real-time environmental data for high-moun- tain permafrost in unattended operation over multiple years. This paper discusses the specialized sensing and data recovery architecture tailored to meet the preci- sion, reliability and durability requirements of scientists utilizing the data for model validation. We present a custom sensor interface board including specialized sen- sors and redundancy features for end-to-end data valida- tion. Aspects of high-quality data acquisition, design for reliability by strict separation of operating phases and analysis of energy efficiency are discussed. The system integration using the Dozer protocol scheme achieves a best-in-class average power consumption of 148μA con- siderably exceeding the lifetime requirement.

The PermaSense project has set the ambitious goal of gathering real-time environmental data for high-moun- tain permafrost in unattended operation over multiple years. This paper discusses the specialized sensing and data recovery architecture tailored to meet the preci- sion, reliability and durability requirements of scientists utilizing the data for model validation. We present a custom sensor interface board including specialized sen- sors and redundancy features for end-to-end data valida- tion. Aspects of high-quality data acquisition, design for reliability by strict separation of operating phases and analysis of energy efficiency are discussed. The system integration using the Dozer protocol scheme achieves a best-in-class average power consumption of 148μA con- siderably exceeding the lifetime requirement.

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Additional indexing

Item Type:Book Section, refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Geography
Dewey Decimal Classification:910 Geography & travel
Language:English
Date:2009
Deposited On:19 Feb 2010 16:15
Last Modified:05 Apr 2016 13:57
Publisher:IEEE
ISBN:978-1-4244-5108-1
Additional Information:International Conference on Information Processing in Sensor Networks, San Francisco, Calif., 2009.04.13-16. - © 2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE
Official URL:http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5211923&tag=1
Related URLs:http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=5200255
Permanent URL: http://doi.org/10.5167/uzh-31231

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