Unmanned aerial vehicle deployment method in forest fire monitoring
The invention belongs to the technical field of mobile communication, and relates to a forest fire monitoring-oriented unmanned aerial vehicle deployment method in an unmanned aerial vehicle edge computing system, which comprises the following steps of: establishing an MEC system model according to...
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Main Authors | , , , |
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Format | Patent |
Language | Chinese English |
Published |
09.01.2024
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Subjects | |
Online Access | Get full text |
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Summary: | The invention belongs to the technical field of mobile communication, and relates to a forest fire monitoring-oriented unmanned aerial vehicle deployment method in an unmanned aerial vehicle edge computing system, which comprises the following steps of: establishing an MEC system model according to an unmanned aerial vehicle, ground equipment and a ground command center; establishing a forest fire spreading model, a communication model and a task calculation model; setting constraint conditions, and constructing a target optimization function according to the forest fire spreading model, the communication model, the task calculation model and the constraint conditions; establishing a Markov decision process according to the target optimization function; performing optimization solution on the target optimization function by adopting a multi-agent deep reinforcement learning algorithm based on a Markov decision process to obtain an optimal deployment strategy of the unmanned aerial vehicle; according to the in |
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Bibliography: | Application Number: CN202311459570 |