Zoumboulakis, M. and Roussos, George (2009) Estimation of pollutant-emitting point-sources using resource-constrained sensor networks. In: Trigoni, N. and Markham, A. and Nawaz, S. (eds.) GeoSensor Networks. Lecture Notes in Computer Science 5659. Berlin, Germany: Springer Verlag, pp. 21-30. ISBN 9783642029028.
Abstract
We present an algorithm that makes an appropriate use of a Kalman filter combined with a geometric computation with respect to the localisation of a pollutant-emitting point source. Assuming resource-constrained inexpensive nodes and no specific placement distance to the source, our approach has been shown to perform well in estimating the coordinates and intensity of a source. Using local gossip to directionally propagate estimates, our algorithm initiates a real-time exchange of information that has as an ultimate goal to lead a packet from a node that initially sensed the event to a destination that is as close to the source as possible. The coordinates and intensity measurement of the destination comprise the final estimate. In this paper, we assert that this low-overhead coarse localisation method can rival more sophisticated and computationally-hungry solutions to the source estimation problem.
Metadata
| Item Type: | Book Section |
|---|---|
| Keyword(s) / Subject(s): | source localisation, spatial event detection, estimation, Kalman filters |
| School: | Birkbeck Faculties and Schools > Faculty of Science > School of Computing and Mathematical Sciences |
| Research Centres and Institutes: | Birkbeck Knowledge Lab |
| Depositing User: | Sarah Hall |
| Date Deposited: | 02 Aug 2013 09:46 |
| Last Modified: | 09 Aug 2023 12:34 |
| URI: | https://eprints.bbk.ac.uk/id/eprint/7949 |
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