Communication Perspective of Wildfire Detection and Suppression: A Survey of Technologies, Requirements, and Future Directions
Canello, Gianmarco; Mikhaylov, Konstantin; Hänninen, Tuomo (2023-12-05)
IEEE
05.12.2023
G. Canello, K. Mikhaylov and T. Hänninen, "Communication Perspective of Wildfire Detection and Suppression: A Survey of Technologies, Requirements, and Future Directions," 2023 15th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), Ghent, Belgium, 2023, pp. 157-164, doi: 10.1109/ICUMT61075.2023.10333282
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© 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.
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:oulu-202312083600
https://urn.fi/URN:NBN:fi:oulu-202312083600
Tiivistelmä
Abstract
Wildfires have always been a risk to the environment and to human settlements; in the course of history, wildfire management methods have benefited from various technological breakthroughs. In the 20th century, it was the introduction of aerial fire suppression, but with the emergence of Artificial Intelligence (AI), Machine Learning (ML), and the latest telecommunication standards in the 21st century, there is potential for even more breakthroughs in wildfire management. In this paper, we collect, survey and systematise the recent research efforts that focus on wildfire detection and suppression. Departing from this state-of-the-art, we identify and discuss the communication requirements these methods imply and the potential technologies capable of addressing them. As a part of our contribution, we also introduce some exemplary results based on the developed simulation models allowing one to assess and analyse the connectivity requirements for Unmanned Aerial Vehicles(UAVs) assisted connectivity in a wildfire scenario. These results can serve as a reference for developing wireless connectivity solutions for wildfire control either based on a clean-state technology or for adopting existing technology, e.g., the 5G, for this use case.
Wildfires have always been a risk to the environment and to human settlements; in the course of history, wildfire management methods have benefited from various technological breakthroughs. In the 20th century, it was the introduction of aerial fire suppression, but with the emergence of Artificial Intelligence (AI), Machine Learning (ML), and the latest telecommunication standards in the 21st century, there is potential for even more breakthroughs in wildfire management. In this paper, we collect, survey and systematise the recent research efforts that focus on wildfire detection and suppression. Departing from this state-of-the-art, we identify and discuss the communication requirements these methods imply and the potential technologies capable of addressing them. As a part of our contribution, we also introduce some exemplary results based on the developed simulation models allowing one to assess and analyse the connectivity requirements for Unmanned Aerial Vehicles(UAVs) assisted connectivity in a wildfire scenario. These results can serve as a reference for developing wireless connectivity solutions for wildfire control either based on a clean-state technology or for adopting existing technology, e.g., the 5G, for this use case.
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