Design of a UAV forest fire monitoring and early warning system based on D2D

Yan Ke

doi:10.1117/12.3031056

19 July 2024 Design of a UAV forest fire monitoring and early warning system based on D2D

Yan Ke

Proceedings Volume 13181, Third International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2024); 131817C (2024) https://doi.org/10.1117/12.3031056
Event: Third International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2024), 2024, Beijing, China

Abstract

With the improvement of the performance and capabilities of unmanned aerial vehicle (UAV) platforms, the issue of establishing direct communication between UAVs and assigning tasks for forest fire monitoring has become a key concern. Furthermore, the task assignment issue involves factors such as the number and location of UAVs and targets, as well as their respective capabilities, adding complexity to the task allocation problem. This article addresses the task assignment problem for forest fire monitoring using a UAV cluster. It conducts modeling and research on task allocation based on Device-to-Device (D2D) communication, refining constraint conditions to better align with real-world application scenarios. The allocation model is solved using ant colony algorithm, taking into account various factors such as UAV performance, target characteristics, and quantity. By considering these multiple factors, a rational assignment plan is obtained, enabling the completion of forest fire monitoring and early warning tasks.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yan Ke "Design of a UAV forest fire monitoring and early warning system based on D2D", Proc. SPIE 13181, Third International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2024), 131817C (19 July 2024); https://doi.org/10.1117/12.3031056

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