Tomasz Naumowicz, Robin Freeman, Andreas Heil, Martin Calsyn, Eric Hellmich, Alexander Brändle, Tim Guilford, and Jochen Schiller
In the natural sciences, researchers use a variety of techniques that rely on extensive man-hours and can therefore be difficult to scale. This obviously limits questions that concern large spatial scales or that involve large numbers of animals. Here, we describe the design and deployment of a wireless sensor network that delivers high resolution sensor data while monitoring seabirds on a UK National Nature Reserve. We describe some of the problems encountered and the solutions we have used. In general, the network has successfully demonstrated its utility in a real world scenario and will be extended and enhanced for the coming field season.
|Published in||REALWSN'08 Workshop on Real-World Wireless Sensor Networks in conjunction with ACM EuroSys 2008|
T. Guilford, J. Meade, J. Willis, R.A. Phillips, D. Boyle, S. Roberts, M. Collett, R. Freeman, and C.M. Perrins. Migration and stopover in a small pelagic seabird, the Manx Shearwater Puffinus puffinus: insights from machine learning, Proc. Roy. Soc. London Ser. B, 2009.
Robin Freeman, Ben Dean, Holly Kirk, Kerry Leonard, Richard A Phillips, Chris M Perrins, and Tim Guilford. Predictive ethoinformatics reveals the complex migratory behaviour of a pelagic seabird, the Manx Shearwater, Journal of the Royal Society Interface, Royal Society, March 2013.