Task safety unloading method based on minimized time delay in air-ground integrated Internet of Vehicles

Abstract

The invention discloses a task safety unloading method based on minimized time delay in an air-ground integrated Internet of Vehicles, which comprises the following steps: firstly, constructing an air-ground integrated Internet of Vehicles model supporting mobile edge computing; secondly, analyzing and modeling a safe transmission mode from a vehicle to an unmanned aerial vehicle edge server and a calculation mode of a local vehicle and the unmanned aerial vehicle edge server, and formalizing an air-ground integrated Internet of Vehicles task unloading problem to be related to edge server selection, a transmission rate, resource allocation and task unloading; solving a multi-objective optimization problem taking minimization of time delay as an objective in combination with a conditional relaxation numerical value reduction rule and a Lagrange dual decomposition method, so that the task processing time delay can be effectively reduced, and the successful task processing proportion is improved.

Description

technical field [0001] The invention belongs to the technical field of vehicle networks, and in particular relates to a method for safely unloading tasks in the vehicle network. Background technique [0002] With the advent of the 5G Internet of Everything era, the number of mobile terminals in the Internet of Vehicles has surged and the degree of device heterogeneity has increased significantly. At the same time, with the rise of services with heavy computing tasks or high real-time requirements such as intelligent driving, wireless resources and mobile terminals are facing huge challenges. Compared with network core devices, mobile terminals have limited computing power and storage. Therefore, in the Internet of Vehicles, relying solely on vehicle terminal equipment to complete computing-intensive tasks will face considerable challenges. Cloud computing offloads the computing tasks of mobile terminals to cloud servers, thereby greatly reducing the pressure on terminal eq...

AI Technical Summary

Problems solved by technology

[0008] (1) The air-ground vehicle collaborative communication system designed by the prior art No. 1 fails to offload and process the information obtained by the UAV camera and GPS information in a timely manner. At the same time, the acquisition of massive data will lead to a rapid increase in task response delay

[0009] (2) Existing technology 2 jointly optimizes the migration time of on-board computing tasks and edge device load balancing, but this method does not consider the task offloading ratio, and all tasks are offloaded to network edge nodes, which increases the work intensity of edge nodes , does not consider the simultaneous calculation of tasks locally and on edge nodes, reducing the task processing delay and the work intensity of edge nodes

Due to the openness of radio waves, the data transmitted by the mobile terminal (vehicle) of prior art 1 and prior art 2 to the edge node through the wireless channel will be directly exposed to eavesdroppers, while the data returned by the edge node to the terminal Calculation results are also at risk of being eavesdropped

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