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PermaDAQ: A scientific instrument for precision sensing and data recovery in environmental extremes
(2009)2009 International Conference on Information Processing in Sensor Networks (IPSN 2009)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 ...Conference Paper -
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The Design of a Responsive and Energy-efficient Event-triggered Wireless Sensing System
(2017)Proceedings of the 2017 International Conference on Embedded Wireless Systems and Networks (EWSN '17)Conference Paper -
Testbed Assisted Control Flow Tracing for Wireless Embedded Systems
(2017)Proceedings of the 2017 International Conference on Embedded Wireless Systems and Networks (EWSN '17)Conference Paper -
Competition: Robust Flooding using Back-to-Back Synchronous Transmissions with Channel-Hopping
(2017)Proceedings of the 2017 International Conference on Embedded Wireless Systems and Networks (EWSN '17)Conference Paper -
Passive, Privacy-preserving Real-time Counting of Unmodified Smartphones via ZigBee Interference
(2015)2015 International Conference on Distributed Computing in Sensor SystemsConference Paper -
Measurement and validation of energy harvesting IoT devices
(2017)Proceedings of the 2017 Conference and Exhibition on Design, Automation and Test in Europe (DATE)Conference Paper -
Time-of-Flight Aware Time Synchronization for Wireless Embedded Systems
(2016)Proceedings of the 2016 International Conference on Embedded Wireless Systems and NetworksConference Paper -
A Testbed for Fine-Grained Tracing of Time Sensitive Behavior in Wireless Sensor Networks
(2015)2015 IEEE 40th Local Computer Networks Conference Workshops (LCN Workshops)Conference Paper -
The PermaSense Remote Monitoring Infrastructure
(2009)International Snow Science Workshop. Band 2, ProceedingsConference Paper