Unmanned aerial vehicle energy supply scheduling method based on idle unmanned aerial vehicle replacement

Abstract

The invention provides an unmanned aerial vehicle energy supply scheduling method based on idle unmanned aerial vehicle replacement. The method mainly solves the problem that an existing unmanned aerial vehicle network cannot continuously provide service for a designated area and mutual influence between unmanned aerial vehicles is caused. The method comprises the following implementation steps: 1) initializing an unmanned aerial vehicle network; 2) the node determining an associated unmanned aerial vehicle according to a Max RSRP criterion; 3) initializing a scheduling window and a recall unmanned aerial vehicle set of each time slice t; 4) determining a recall unmanned aerial vehicle set of each time slice t; and 5) according to the recall unmanned aerial vehicle set of each time slice t, carrying out unmanned aerial vehicle energy supply in the specified area, if the current time slice number t is greater than the total time slice number M of the unmanned aerial vehicle system for providing services for the specified area, the unmanned aerial vehicle system stopping the services for the specified area, otherwise, returning to the step 3). According to the method, the influence between the unmanned aerial vehicles is avoided, the node service quality is guaranteed, the system energy consumption is reduced, and the method can be used for providing continuous services for a designated area through an unmanned aerial vehicle network.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and relates to a UAV energy supply scheduling method, which can be used in the scene where the UAV network provides continuous services for designated areas. Background technique [0002] In recent years, UAVs have been widely used in military, public and civilian fields due to their high mobility, deployment flexibility and low deployment costs. Among the many applications of UAVs, it is undoubtedly a key application for UAVs to assist in high-speed wireless communication. [0003] As an aerial base station, drones can provide ubiquitous coverage and meet the coverage and rate requirements of wireless users, but it also brings challenges. At present, drones use batteries or fuel to provide energy. The size and weight of drones limit their ability to carry a certain amount of energy at a time, which further limits their communication, computing, and mobility capabilities, making t...

AI Technical Summary

Problems solved by technology

In this algorithm, each drone independently calculates the recall probability based on local information, and recalls according to the optimal recall time of the drone itself, which cannot avoid the impact on other drones and prolongs the survival time of the system. At the same time, It may increase the number of energy replenishment of the system and increase the energy consumption of the system

Images