JIPS (한국정보처리학회)
Current Result Document :
| 한글제목(Korean Title) |
Communication Resource Allocation Strategy of Internet of Vehicles Based on MEC |
| 영문제목(English Title) |
Communication Resource Allocation Strategy of Internet of Vehicles Based on MEC |
| 저자(Author) |
Zhiqiang Ma
|
| 원문수록처(Citation) |
VOL 18 NO. 03 PP. 0389 ~ 0401 (2022. 06) |
한글내용
(Korean Abstract) |
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영문내용
(English 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. |
| 키워드(Keyword) |
Allocation of Communication Resources
Genetic Algorithm
Internet of Vehicles
Knapsack Problem
MEC
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| 파일첨부 |
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