Forest unmanned aerial vehicle network deployment method and system based on hierarchical clustering

Abstract

The invention provides a forest unmanned aerial vehicle network deployment method and system based on hierarchical clustering, and the method comprises the steps: obtaining a ground user set and an unmanned aerial vehicle set, and determining a forest channel model; determining a preset connection scene between the unmanned aerial vehicle and the ground user, constructing an unmanned aerial vehicle set position deployment objective function, and solving by adopting a traversal rate upper and lower boundary function; clustering the ground user set and the unmanned aerial vehicle set by adopting hierarchical clustering to obtain a ground user clustering result and an unmanned aerial vehicle clustering result; and based on a deep reinforcement learning algorithm, carrying out joint optimization on the user traversal rate under coordinated multi-point transmission and the transmission rate of the user passing through the base station in the unmanned aerial vehicle set position deployment target function to obtain an optimal position deployment result of the unmanned aerial vehicle set. According to the invention, for a specific emergency rescue scene, unmanned aerial vehicle deployment schemes with existence and absence of the base station are respectively considered, the overall performance and the overall data throughput of unmanned aerial vehicle deployment are improved, and maximum optimal configuration of resources is realized.

Description

technical field [0001] The present invention relates to the technical field of unmanned aerial vehicles, in particular to a method and system for deploying a forest area unmanned aerial vehicle network based on hierarchical clustering. Background technique [0002] With the increasingly widespread application of drones, especially in emergency disasters, the advantages of drones can be brought into play. [0003] Due to the frequent occurrence of natural disasters, for example, in the forest area scene, because the forest area is usually located in a relatively remote area, the original basic communication facilities are often insufficient or have been damaged by the disaster and cannot be used normally. Therefore, only relying on the original communication in the disaster area Facilities, unable to support some emergency needs such as video backhaul and picture download. For this reason, considering the flexibility and mobility of drones, they have been widely used in carg...

AI Technical Summary

Problems solved by technology

However, considering the serious occlusion of forest areas, weak satellite signals, complex multipath, and limited power of UAVs, how to maximize system performance with a fixed number of UAVs under the energy constraints of UAVs, research needed

At present, many research works are based on urban and rural environments, such as earthquakes, fires, search and rescue and other scenarios, and analyze the deployment of UAVs, while ignoring the special environment of forest areas; at the same time, some existing forest areas The research on the deployment of UAVs only limited the environment of the forest area to the scene, and did not study the substantial differences in the channel model in the forest area.

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