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Issue No.04 - October-December (2010 vol.9)
pp: 16-23
Marcus Chang , IT University of Copenhagen
Philippe Bonnet , IT University of Copenhagen
ABSTRACT
Monitoring terrestrial high-arctic ecosystems is important because of their exposure to global warming. Ideally, these ecosystems would be monitored continuously to capture the evolution of their characteristics year-round. This requires a pervasive monitoring infrastructure that collects data automatically. Consequently, measurements that have traditionally been obtained manually should now be obtained with automatic measurement systems. Deploying such systems in a high-arctic environment raises specific challenges due to limited access, extreme weather, and the absence of communication infrastructure. The MANA project tackles these challenges with a sensor-network-based data acquisition system for year-round lake monitoring in Northeast Greenland. This article describes the system design and lessons learned from the MANA project's first year of deployment. It emphasizes the issues the researchers underestimated initially—the consequences of operating in a remote region, extreme weather's impact on system design and operator activities, and the demands caused by the absence of a communication infrastructure.
INDEX TERMS
sensor networks, wireless, field experiment, arctic monitoring systems, MANA, Capoh, pervasive computing
CITATION
Marcus Chang, Philippe Bonnet, "Monitoring in a High-Arctic Environment: Some Lessons from MANA", IEEE Pervasive Computing, vol.9, no. 4, pp. 16-23, October-December 2010, doi:10.1109/MPRV.2010.53
REFERENCES
1. T.T. H⊘ye et al., "Rapid Advancement of Spring in the High Arctic," Current Biology, vol. 17, no. 12, 2007, pp. R449–R451.
2. C. Egevang et al., "Tracking of Arctic Terns Sterna Paradisaea Reveals Longest Animal Migration," Proc. Nat'l Academy of Sciences, preprint, 11 Jan. 2010; www.pnas.org/content/early/2009/12/290909493107.full.pdf+html .
3. A. Sharma, L. Golubchik, and R. Govindan, "On the Prevalence of Sensor Faults in Real-World Deployments," Proc. 4th Ann. IEEE Communications Soc. Conf. Sensor, Mesh, and Ad Hoc Communications and Networks (Secon 07), IEEE Press, 2007, pp. 213–222.
4. M. Chang and P. Bonnet, "Meeting Scientific Requirements with Adaptive Data Acquisition," Proc. 8th ACM Conf. Embedded Networked Sensor Systems (SenSys 2010), ACM Press, 2010.
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