Optimizing Sensor Deployment Strategy for Tracking Mobile Heat Source Trajectory

Thanh Phong Tran, Laetitia Perez, Laurent Autrique, Edouard Leclercq, Syrine Bouazza, Dimitri Lefevbre

2025

Abstract

Previous studies have investigated inverse problems in physical systems described by partial differential equations, particularly for identifying unknown parameters of mobile heat sources. An iterative minimization of a quadratic cost function, based on the conjugate gradient method, has shown reliable results in identifying heat densities and trajectories both offline and online. Although fixed sensor arrays can be effective, covering the full operating range of a moving heat source requires a large number of sensors, leading to inefficiencies and waste. A more efficient approach uses fewer mobile sensors mounted on autonomous robots. However, this introduces challenges in robot control, ensuring optimal positioning, coordination, and collision avoidance. To address this, we propose a method that combines sensitivity-based sensor placement with robot assignment algorithms such as the Hungarian Algorithm and Multi-Agent Path Finding. This enables effective tracking of the heat source’s trajectory while optimizing sensor deployment. The approach not only increases overall sensitivity of the sensor network but also improves identification performance with reduced latency and higher accuracy.

Paper Citation

in Harvard Style

Tran T., Perez L., Autrique L., Leclercq E., Bouazza S. and Lefevbre D. (2025). Optimizing Sensor Deployment Strategy for Tracking Mobile Heat Source Trajectory. In Proceedings of the 22nd International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO; ISBN 978-989-758-770-2, SciTePress, pages 477-485. DOI: 10.5220/0013742600003982

in Bibtex Style

@conference{icinco25,
author={Thanh Tran and Laetitia Perez and Laurent Autrique and Edouard Leclercq and Syrine Bouazza and Dimitri Lefevbre},
title={Optimizing Sensor Deployment Strategy for Tracking Mobile Heat Source Trajectory},
booktitle={Proceedings of the 22nd International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO},
year={2025},
pages={477-485},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013742600003982},
isbn={978-989-758-770-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 22nd International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO
TI - Optimizing Sensor Deployment Strategy for Tracking Mobile Heat Source Trajectory
SN - 978-989-758-770-2
AU - Tran T.
AU - Perez L.
AU - Autrique L.
AU - Leclercq E.
AU - Bouazza S.
AU - Lefevbre D.
PY - 2025
SP - 477
EP - 485
DO - 10.5220/0013742600003982
PB - SciTePress