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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Bibliographic Details
Main Authors WANG ZHOU, TAN WENGUANG, ZUO WEIHAO, XIAN YONGJU
Format Patent
LanguageChinese
English
Published 09.01.2024
Subjects
ALARM SYSTEMS
CALCULATING
COMPUTING
COUNTING
ELECTRIC COMMUNICATION TECHNIQUE
ELECTRIC DIGITAL DATA PROCESSING
ELECTRICITY
ORDER TELEGRAPHS
PHYSICS
SIGNALLING
SIGNALLING OR CALLING SYSTEMS
WIRELESS COMMUNICATIONS NETWORKS
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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
Bibliography:Application Number: CN202311459570