| Abstract: |
The field of Wireless Sensor Networks (WSNs) is now in a stage where serious applications of societal and economical importance are in reach. For example, it is well- known that the global
climate change dramatically influences the visual appearance of mountain areas like the European Alps. Very destructive geological processes are triggered or intensified, affecting the stability
of slopes and possibly inducing landslides. Up to now, however, the interactions between these complex processes are poorly understood. To significantly advance the knowledge of these
interactions, we advocate the use of wireless sensing technology as a new scientific instrument for environmental monitoring under extreme conditions. Large spatio-temporal variations in
temperature and humidity, mechanical forces, snow and ice coverage, and unattended operation play a crucial role in long-term, high-altitude deployments. Despite these challenges, we argue that
in order to reach the set out goals it is inevitable that WSNs be created as a high-quality scientific instrument with known and predictable properties, rather than as a research toy delivering
average observations at best. In this paper, we present key techniques for achieving highly reliable, yet resource-efficient WSNs based on our longstanding experience with productive WSNs
measuring permafrost processes in the Swiss Alps. |
