Migration method and device of unmanned aerial vehicle computation task, and unmanned aerial vehicle

Abstract

The invention discloses a migration method and device of an unmanned aerial vehicle computation task, and the unmanned aerial vehicle. The migration method comprises the following steps: acquiring a task instruction in advance, wherein the task instruction comprises accomplishing the issued computation task in the process that the unmanned aerial vehicle flies to a termination location from the starting location in the required time; correspondingly migrating the computation task to each base station including a mobile edge computation server on a communication ground corresponding to the unmanned aerial vehicle according to the current communication channel in the flight period of the unmanned aerial vehicle; and acquiring a task result of computing the corresponding sub-computation taskby using the included mobile edge computation server by each base station in the required time in the premise of satisfying the maximum flight displacement constraint of the unmanned aerial vehicle, the starting location and termination location constraint, the task complete migration constraint and the computation capacity constraint of each base station, thereby accomplishing the computation task. Visibly, the computation resource of the unmanned aerial vehicle is indirectly increased by means of the computation resource of each mobile edge computation server on the communication ground, thereby enlarging the application range of the unmanned aerial vehicle.

Description

technical field [0001] The invention relates to the field of unmanned aerial vehicle wireless communication, in particular to a migration method and device for computing tasks of an unmanned aerial vehicle and an unmanned aerial vehicle. Background technique [0002] With the advancement and development of UAV technology, UAVs have been applied to various industries such as cargo transmission, aerial photography, search and rescue. In the prior art, in the process of performing its own tasks, the UAV will use its own computing resources to complete each calculation link in the task. However, due to the limitations of the UAV's own size, weight and power consumption, the UAV's local computing resources are limited, so it cannot handle computing-intensive and delay-sensitive tasks (that is, a large amount of calculation and time-critical tasks) tasks), the scope of application is narrow. [0003] Therefore, how to provide a solution to the above technical problems is a probl...

AI Technical Summary

Problems solved by technology

However, due to the limitations of the UAV's own size, weight and power consumption, the UAV's local computing resources are limited, so it cannot handle computing-intensive and delay-sensitive tasks (that is, a large amount of calculation and time-critical tasks) tasks), the scope of application is narrow

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