ABSTRACT
Within the PermaSense project, two wireless sensor networks have been deployed for a long-term operation in the Swiss Alps. For enabling state-of-the-art permafrost research based on the collected data, highest possible data quality and yield have to be ensured. But, the operation of wireless sensors networks remains a hard research problem. Firstly, deployed wireless sensors networks are subject to continuous changes. Second, there are scenarios that can only be tested in the field as the capabilities of testbeds are too limited. Basically, it is not possible to test for many months before deploying in the field. In this poster, we present an analysis of our data that has been collected over nine months. In addition to describing our system design and methods, we also share our experiences from discovered severe incidences.
- A. Hasler, I. Talzi, J. Beutel, C. Tschudin, and S. Gruber. Wireless sensor networks in permafrost research - concept, requirements, implementation and challenges. In Proc. NICOP 2008, volume 1, pages 669--674, June 2008.Google Scholar
- R. Szewczyk, A. Mainwaring, J. Polastre, J. Anderson, and D. Culler. An analysis of a large scale habitat monitoring application. In Proc. SenSys 2004, pages 214--226. ACM Press, New York, Nov. 2004. Google ScholarDigital Library
- G. Werner-Allen, K. Lorincz, J. Johnson, J. Lees, and M. Welsh. Fidelity and yield in a volcano monitoring sensor network. In Proc. OSDI '06, pages 27--27, Berkeley, CA, 2006 Google ScholarDigital Library
- J. Beutel et al. PermaDAQ: A scientific instrument for precision sensing and data recovery in environmental extremes. In Proc. IPSN '09, pages 265--276. ACM Press, New York, Apr. 2009. Google ScholarDigital Library
Index Terms
- Learning from sensor network data
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