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.
Recommended Citation
Cheng, Peng; Zhang, Wenzhu; Xie, Shuhan; and Yang, Zixuan
(2022)
"Research and Simulation of Internet of Vehicles Task Offloading Based on Mobile Edge Computing,"
Journal of System Simulation: Vol. 34:
Iss.
6, Article 13.
DOI: 10.16182/j.issn1004731x.joss.21-0015
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol34/iss6/13
First Page
1304
Revised Date
2021-03-11
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.21-0015
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
Included in
Artificial Intelligence and Robotics Commons, Computer Engineering Commons, Numerical Analysis and Scientific Computing Commons, Operations Research, Systems Engineering and Industrial Engineering Commons, Systems Science Commons