Communication Resource Allocation Strategy of Internet of Vehicles Based on MEC


Zhiqiang Ma, Journal of Information Processing Systems Vol. 18, No. 3, pp. 389-401, Jun. 2022  

10.3745/JIPS.02.0173
Keywords: Allocation of Communication Resources, genetic algorithm, internet of vehicles, Knapsack Problem, MEC
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Abstract

The business of Internet of Vehicles (IoV) is growing rapidly, and the large amount of data exchange has caused problems of large mobile network communication delay and large energy loss. A strategy for resource allocation of IoV communication based on mobile edge computing (MEC) is thus proposed. First, a model of the cloud-side collaborative cache and resource allocation system for the IoV is designed. Vehicles can offload tasks to MEC servers or neighboring vehicles for communication. Then, the communication model and the calculation model of IoV system are comprehensively analyzed. The optimization objective of minimizing delay and energy consumption is constructed. Finally, the on-board computing task is coded, and the optimization problem is transformed into a knapsack problem. The optimal resource allocation strategy is obtained through genetic algorithm. The simulation results based on the MATLAB platform show that: The proposed strategy offloads tasks to the MEC server or neighboring vehicles, making full use of system resources. In different situations, the energy consumption does not exceed 300 J and 180 J, with an average delay of 210 ms, effectively reducing system overhead and improving response speed.


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Cite this article
[APA Style]
Zhiqiang Ma (2022). Communication Resource Allocation Strategy of Internet of Vehicles Based on MEC. Journal of Information Processing Systems, 18(3), 389-401. DOI: 10.3745/JIPS.02.0173.

[IEEE Style]
Z. Ma, "Communication Resource Allocation Strategy of Internet of Vehicles Based on MEC," Journal of Information Processing Systems, vol. 18, no. 3, pp. 389-401, 2022. DOI: 10.3745/JIPS.02.0173.

[ACM Style]
Zhiqiang Ma. 2022. Communication Resource Allocation Strategy of Internet of Vehicles Based on MEC. Journal of Information Processing Systems, 18, 3, (2022), 389-401. DOI: 10.3745/JIPS.02.0173.