Author(s): |
Rodolfo Garcia-Flores, CSIRO Mathematics, Informatics and Statistics (AU)
P Toscas, CSIRO Mathematics, Informatics and Statistics (AU)
DJ Lee, CSIRO Mathematics, Informatics and Statistics (AU)
G Robinson, CSIRO Mathematics, Informatics and Statistics (AU)
O Gavriliouk, CSIRO Mathematics, Informatics and Statistics (AU)
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Abstract: |
A problem that frequently arises in environmental surveillance is where to place a set of sensors in order to maximise collected information. In this article we compare three methods for solving this problem: a discrete approach based on the classical k-median location model, a continuous approach based on the minimisation of the prediction error variance, and a D-optimal design based on mutual information. The methods are tested on data collected from a network of sensors installed in the Springbrook National Park in Queensland, Australia, for the purpose of tracking the restoration of biodiversity. We present an overview of the three methods and a comparison of results. |
