Joint trajectory optimization and bandwidth allocation method based on unmanned aerial vehicle data acquisition system

Abstract

The invention discloses a joint trajectory optimization and bandwidth allocation method based on an unmanned aerial vehicle data acquisition system. The joint trajectory optimization and bandwidth allocation method comprises the following steps: establishing an unmanned aerial vehicle auxiliary sensor network model; in order to reduce the energy consumption of the sensor node, defining a sensor wake-up sleep strategy; and optimizing the trajectory control and bandwidth allocation strategy of the unmanned aerial vehicle based on deep reinforcement learning. According to the method, the unmanned aerial vehicle track and the bandwidth allocation strategy are jointly considered, an unmanned aerial vehicle track optimization and resource allocation scheme based on deep reinforcement learning is provided, the energy consumption of sensor nodes is remarkably saved, and the success rate of unmanned aerial vehicle data acquisition is improved.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, in particular to a method for joint trajectory optimization and bandwidth allocation in a UAV-assisted wireless sensor network based on reinforcement learning. Background technique [0002] Unmanned Aerial Vehicles (UAVs) originated in the military field and are used for reconnaissance, surveillance, mapping and other military purposes. In recent years, with the advancement of key technologies such as flight control, navigation, and communication, and the reduction of costs, drones have also been widely used in civilian fields, including freight, engineering construction, and communication networks. Traditional fixed communication infrastructure is affected by factors such as high construction costs and fixed locations. It is often difficult to cope with the needs of communication deployment in steep areas, communication facility damage during sudden disasters, and temporary commun...

AI Technical Summary

Problems solved by technology

Therefore, it is difficult for SNs to collect data without the support of infrastructure such as base stations (BSs)

The low cost and high mobility of drones provide an effective solution for data acquisition in wireless sensor networks, but the control system of drones faces challenges

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