An Efficient Approach With Dynamic Multiswarm of UAVs for Forest Firefighting

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An Efficient Approach With Dynamic Multiswarm of UAVs for Forest Firefighting
Title:
An Efficient Approach With Dynamic Multiswarm of UAVs for Forest Firefighting
Journal Title:
IEEE Transactions on Systems, Man, and Cybernetics: Systems
Publication Date:
30 January 2024
Citation:
John, J., Harikumar, K., Senthilnath, J., & Sundaram, S. (2024). An Efficient Approach With Dynamic Multiswarm of UAVs for Forest Firefighting. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 1–12. https://doi.org/10.1109/tsmc.2024.3352660
Abstract:
This article proposes the multiswarm cooperative information-driven search and divide and conquer mitigation control (MSCIDC) approach for faster detection and mitigation of forest fires by reducing the loss of biodiversity, nutrients, soil moisture, and other intangible benefits. A swarm is a cooperative group of unmanned aerial vehicles (UAVs) flying together to search and quench the fire areas effectively. The multiswarm cooperative information-driven search uses a two-stage search comprising cooperative information-driven exploration and exploitation for quick/accurate detection of fire locations. The search level is selected based on the thermal sensor information about the potential fire area. The dynamic nature of swarms acquired from global regulative repulsion and merging between swarms reduces the detection and mitigation time compared to the existing methods. The local attraction among the swarm members helps the nondetector members reach the fire location faster, and divide-and-conquer mitigation control ensures a nonoverlapping fire sector allocation for all members quenching the fire. The performance of the MSCIDC has been compared with different multi-UAV methods using a simulated pine forest environment. The Monte-Carlo simulation results indicate that the MSCIDC reduces the average forest area burnt by 65% and mission time by 60% compared to the best case of the multi-UAV approaches, guaranteeing a faster and more successful mission.
License type:
Publisher Copyright
Funding Info:
Project SwaYaan from the Ministry of Electronics and Information Technology (MeitY), India
Description:
© 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
ISSN:
2168-2216
2168-2232
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