Internet of Vehicles resource allocation method based on multiple MEC servers

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 resource allocation method based on multiple MEC servers. The allocation method comprises the following steps: determining a system benefit function executed by vehicle user task in consideration of time delay and energy consumption according to an optimization target of Internet of Vehicles resource allocation; simplifying each optimization function through a decoupling mode, solving an optimal unloading strategy of a vehicle user through a multi-round combined unloading scheduling mechanism and a joint resource allocation strategy, and performing Internet of Vehicles resource allocation by adopting transmission power and computing resources under a multi-MEC server scene when the optimal unloading strategy is executed. According to the method, the Internet of Vehicles resource allocation under the MEC multi-server scene is determined from two aspects of task unloading and resource allocation; and the task unloading problem is solved through a multi-round combined unloading scheduling mechanism and a joint resource allocation strategy, so that the time complexity is reduced, the average system revenue maximization is realized, and the overall performance of the system is improved.

Description

technical field [0001] The present invention relates to the technical field of wireless short-distance communication in an Internet of Vehicles system, in particular to a resource allocation method for an Internet of Vehicles based on an MEC multi-server. Background technique [0002] As the most promising application in the Internet of Things, the Internet of Vehicles has attracted widespread attention from academia and industry. In-vehicle communication can not only improve the safety of the road but also greatly improve the traffic efficiency. It is the most potential development and application in the intelligent transportation system. Vehicle request tasks require frequent access to the Internet or remote servers, involving a large amount of data exchange. V2I communication in the Internet of Vehicles link can provide high-quality services for such tasks. However, with the rapid growth of mobile applications and the Internet of Things, communication technologies impose...

AI Technical Summary

Problems solved by technology

Unreasonable offloading decisions, resource allocation, and poor performance in average system benefits

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