PermaSense: investigating permafrost with a WSN in the Swiss Alps

Authors:
Igor Talzi;Andreas Hasler;Stephan Gruber;Christian Tschudin
Affiliations:
University of Basel, Basel, Switzerland;University of Zürich, Zürich, Switzerland;University of Zürich, Zürich, Switzerland;University of Basel, Basel, Switzerland
Venue:
Proceedings of the 4th workshop on Embedded networked sensors
Year:
2007

Citing 0
Cited 9

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

IPSN '09 Proceedings of the 2009 International Conference on Information Processing in Sensor Networks
Surviving sensor network software faults

Proceedings of the ACM SIGOPS 22nd symposium on Operating systems principles
Stream-oriented lossless packet compression in wireless sensor networks

SECON'09 Proceedings of the 6th Annual IEEE communications society conference on Sensor, Mesh and Ad Hoc Communications and Networks
Quanto: tracking energy in networked embedded systems

OSDI'08 Proceedings of the 8th USENIX conference on Operating systems design and implementation
Complex Event Detection in Extremely Resource-Constrained Wireless Sensor Networks

Mobile Networks and Applications
Exploiting overlapping channels for minimum power configuration in real-time sensor networks

EWSN'10 Proceedings of the 7th European conference on Wireless Sensor Networks
A three-tier architecture for user-centric ubiquitous networked sensing

ISRN Communications and Networking
Minimum transmission power configuration in real-time sensor networks with overlapping channels

ACM Transactions on Sensor Networks (TOSN)
Surviving sensor node failures by MMU-less incremental checkpointing

Journal of Systems and Software

Quantified Score

Hi-index	0.00

Visualization

Abstract

Currently, there is a lack of stand-alone geo-monitoring systems for harsh environments that are easy to configure, deploy and manage, while at the same time adhering to science grade quality requirements. In a joint computer and geoscience project we have built and deployed a wireless sensor network for measuring permafrost related parameters. Using these high-precision data, geo-scientists will be able to calibrate their heat flux models in order to better predict the stability of steep rock slopes in the alps. In this paper we describe our system from a computer science and system point of view and report on some lessons learned, especially in the domain of sensor design, power-awareness and reliable data flow.