Charging and task unloading system based on unmanned aerial vehicle and task time consumption optimization method thereof

Abstract

The invention discloses a charging and task unloading system based on an unmanned aerial vehicle and a task time consumption optimization method thereof, and the system can provide locally calculatedpower consumption for user equipment and power consumption for task unloading through carrying an MEC server and a WPT module on the unmanned aerial vehicle. The limitation that user equipment with low energy storage cannot effectively execute local computing and utilize MEC resources is broken through, and the task completion efficiency of the system is improved. Moreover, resources of the user equipment are utilized to the maximum extent, so that the user equipment can process or transmit task data in the shortest time, and on the premise, a strategy scheme which is the best superior to theexperience of the user equipment is selected by comparing and balancing the total task time consumption in a local calculation mode and an unloading calculation mode. The cost performance and the utilization rate of WPT and MEC for the resources allocated to each user equipment are improved, the purpose of minimizing the total consumed time of system task completion is achieved, the purposes of the resource utilization rate and the allocation rationality of the WPT and the MEC are achieved, and the working efficiency is improved.

Description

technical field [0001] The invention relates to the field of 5G / B5G communication technology, in particular to a charging and task unloading system based on a drone and a task time-consuming optimization method thereof. Background technique [0002] Mobile Edge Computing (MEC) is a technology proposed in recent years to process resource-intensive and latency-sensitive applications at the edge of mobile networks, which can break through the hardware limitations and resource constraints of user equipment. [0003] In recent years, with the rapid development of wireless communication technology and Internet of Things technology, wireless sensor networks have become more and more widely used in scenarios such as rescue deployment, data collection and security protection in extreme and remote environments. Many application problems in fields such as industrial Internet of Things and smart cities can be realized under the framework of MEC. For example, in the smart grid charging ...

AI Technical Summary

Problems solved by technology

In remote large-scale industrial scenarios, such as desert oil fields or oil pipelines, due to the constraints of various practical factors, it is not feasible and uneconomical to set up ground MEC servers; and in the case of limited resources, it is often difficult for MEC servers to Ensure that all user services can be completed in the shortest possible time

Moreover, most of the existing MEC technologies do not consider the limited energy of user equipment, and assume that it has the ability to transmit and calculate its own business at any time.

For most passive IoT sensor networks, due to their low energy storage, user equipment is often unable to afford long-term effective work and business transmission processing, and cannot effectively use the resources of MEC servers.

Images