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

The PermaSense project has set the ambitious goal of gathering real-time environmental data for high-mountain permafrost in unattended operation over multiple years. This paper discusses the specialized sensing and data recovery architecture tailored to meet the precision, reliability and durability...

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Bibliographic Details
Published in:2009 International Conference on Information Processing in Sensor Networks pp. 265 - 276
Main Authors: Beutel, Jan, Gruber, Stephan, Hasler, Andreas, Lim, Roman, Meier, Andreas, Plessl, Christian, Talzi, Igor, Thiele, Lothar, Tschudin, Christian, Woehrle, Matthias, Yuecel, Mustafa
Format: Conference Proceeding
Language:English
Published: Washington, DC, USA IEEE Computer Society 13.04.2009
IEEE
Series:ACM Conferences
Subjects:
Architecture
Computer systems organization > Dependable and fault-tolerant systems and networks
Computer systems organization > Embedded and cyber-physical systems
Computer systems organization > Real-time systems
Data Acquisition
Environmental Monitoring
General and reference > Cross-computing tools and techniques > Performance
Hardware > Communication hardware, interfaces and storage
Instruments
Low-Power
Networks
Networks > Network performance evaluation
Wireless Sensor Networks
ISBN:1424451086, 9781424451081
Online Access:Get full text
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Summary:The PermaSense project has set the ambitious goal of gathering real-time environmental data for high-mountain permafrost in unattended operation over multiple years. This paper discusses the specialized sensing and data recovery architecture tailored to meet the precision, reliability and durability requirements of scientists utilizing the data for model validation. We present a custom sensor interface board including specialized sensors and redundancy features for end-to-end data validation. 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 considerably exceeding the lifetime requirement.
ISBN:1424451086
9781424451081
DOI:10.5555/1602165.1602190