An Efficient Edge Computing Migration Method for Internet of Vehicles Applications

Abstract

The present invention provides an efficient edge computing migration method for the application of the Internet of Vehicles, which includes the following steps: S1, obtaining the current location information of the vehicle in the Internet of Vehicles and the application requirements of the migration tasks generated by the vehicle; S2, obtaining all information in the Internet of Vehicles The location information of the edge computing nodes and the computing resources of the edge nodes; S3. According to the distance between the vehicle and the edge computing nodes and the application requirements of the migration task, filter out the unqualified edge computing nodes; S4. Calculate each The time and energy consumption required for the migration strategy; S5. Obtain the optimal calculation migration strategy through a simple weighting method and a multi-criteria decision-making algorithm. The method of the invention not only satisfies the computing power and computing delay requirements of the computing task, but also reduces the energy consumption of the edge computing node to the greatest extent, and improves the utilization rate of the edge computing node.

Description

technical field [0001] The invention relates to an efficient edge computing migration method, belonging to the technical field of mobile edge computing. Background technique [0002] With the continuous development of the transportation industry and people's extensive attention to traffic safety, the Internet of Vehicles (IoV) has gradually developed. As one of the main applications of the Internet of Things, the Internet of Vehicles better realizes the information interaction between vehicles, between people and vehicles, and between vehicles and roadside units (Roadside Units, RSUs), greatly improving traffic safety. With the continuous popularization of the Internet of Vehicles, the applications based on this are also increasing, especially many applications that require high computing power and response delay. At present, the requirements of many applications have far exceeded the computing and processing capabilities of the vehicle itself. . [0003] When mobile cloud...

AI Technical Summary

Problems solved by technology

[0006] In view of the fact that the current Internet of Vehicles computing migration technology only considers the delay requirement and does not consider the ECD energy consumption problem, this invention proposes an efficient edge computing migration method for Internet of Vehicles applications, aiming at more and more Internet of Vehicles applications , according to the information of the vehicle and ECD, a calculation migration strategy can be proposed in real time, which can not only meet the needs of vehicle calculation delay and energy consumption, but also enhance the user's Internet of Vehicles service experience

Images