Optimization of Sensor Placement for Birds Acoustic Detection in Complex Fields

Damien Goetschi, Valère Martin, Richard Baltensperger, Marc Vonlanthen, Donatien Roziers, Francesco Carrino, Francesco Carrino

2022

Abstract

Birds nest in multifunctional semi-natural environments. Intensification of agriculture and forestry prevents their successful breeding, threatening globally their survival. Early bird detection allows for targeted conservation actions, such as local (temporary) habitat protection. The conservationist thus looks for at detecting priority bird species as soon as a territory is occupied, for instance using acoustic surveillance network. We present a comprehensive method to optimize acoustic coverage with a minimum number of sensors in the network. Our method includes a sound propagation model and algorithms for optimized sensor placement. Relevant parameters (e.g., topography, soil type, height of vegetation, weather, etc.) for the sound propagation model are automatically extracted from an area of interest. We implemented and compared Particle Swarm Optimization and Genetic Algorithms-based approaches to solve the optimisation problem.

Paper Citation

in Harvard Style

Goetschi D., Martin V., Baltensperger R., Vonlanthen M., Roziers D. and Carrino F. (2022). Optimization of Sensor Placement for Birds Acoustic Detection in Complex Fields. In Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-549-4, pages 550-559. DOI: 10.5220/0010819000003122

in Bibtex Style

@conference{icpram22,
author={Damien Goetschi and Valère Martin and Richard Baltensperger and Marc Vonlanthen and Donatien Roziers and Francesco Carrino},
title={Optimization of Sensor Placement for Birds Acoustic Detection in Complex Fields},
booktitle={Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2022},
pages={550-559},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010819000003122},
isbn={978-989-758-549-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Optimization of Sensor Placement for Birds Acoustic Detection in Complex Fields
SN - 978-989-758-549-4
AU - Goetschi D.
AU - Martin V.
AU - Baltensperger R.
AU - Vonlanthen M.
AU - Roziers D.
AU - Carrino F.
PY - 2022
SP - 550
EP - 559
DO - 10.5220/0010819000003122