Internet of Vehicles mobility management method based on CDN and MEC

Abstract

The invention relates to the technical field of wireless short-distance communication in an Internet of Vehicles system, in particular to an Internet of Vehicles mobility management method based on CDN and MEC. The method comprises the following steps: when vehicle mobility management is performed under a CDN and MEC integration framework, determining a connection with an RSU by adopting a resource optimization principle, and processing a task generated by a vehicle through the connection; if the vehicle performs switching between RSUs, determining a switching position by adopting a dynamic channel allocation algorithm of overhead selection, and calculating the optimal vehicle switching time according to the switching position; if the vehicle is migrated, determining the computing resourceallocated to the vehicle by the MEC by adopting a cooperative game algorithm based on RSU scheduling, and solving the optimal price of the computing resource. According to the method, virtual machinemigration is carried out by adopting a cooperative game algorithm scheduled by roadside units, and a price control mechanism based on learning is developed, so MEC computing resources are effectivelyprocessed, the resource utilization rate is increased, and the overhead is reduced.

Description

technical field [0001] The invention relates to the technical field of wireless short-distance communication in an Internet of Vehicles system, in particular to a mobility management method for an Internet of Vehicles based on CDN and MEC. Background technique [0002] In the past decade, the Internet of Things (IoT) has attracted great attention from academia and industry, and the Internet of Vehicles (IoV), as a key branch of the Internet of Things, has become an indispensable part of intelligent transportation systems. With the advent of advanced in-vehicle applications, the need for high-speed computing and fast communication has become increasingly prominent. Technologies such as autonomous driving require high levels of data communication and computing. As an in-vehicle application, autonomous driving is at an unprecedented stage of development. However, autonomous driving is very sensitive to calculation and delay, and the current vehicle network system cannot meet ...

AI Technical Summary

Problems solved by technology

[0004] Current literature surveys recent research on managing virtual machine (VM) performance overhead and introduces approaches to cloud computing and VM migration, however, these schemes do not consider the relationship between vehicle mobility and VM migration

It will cause service interruption or service migration failure during the migration process

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