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Journal of System Simulation

Abstract

Abstract: In order to use the computing resources of edge devices to provide high-quality services, a joint resource allocation and task offloading mechanism is designed for the Internet of Vehicles architecture based on mobile edge computing. In the mechanism, the original problem is decomposed into two sub-problems of resource allocation and offloading decision. The original problem is simplified into the resource allocation of maximizing system capacity, and the initial offloading set is obtained through the proportional resource allocation algorithm; the above problem is solved by the joint offloading decision-making and resource allocation mechanism. The stable experimental results are obtained by iteration. The simulation results show that, compared with the previous methods, the mechanism reduces the complexity of the algorithm, and the user utility is always high, which greatly improves the service efficiency of the Internet of Vehicles system.

First Page

1304

Revised Date

2021-03-11

Last Page

1311

CLC

TP391

Recommended Citation

Peng Cheng, Wenzhu Zhang, Shuhan Xie, Zixuan Yang. Research and Simulation of Internet of Vehicles Task Offloading Based on Mobile Edge Computing[J]. Journal of System Simulation, 2022, 34(6): 1304-1311.

DOI

10.16182/j.issn1004731x.joss.21-0015

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