MEC-Based Cooperative Multimedia Caching Mechanism for the Internet of Vehicles

Multimedia applications are expected to widely deploy over vehicular networks. In order to meet the low-latency and high-speed transmission requirements of multimedia applications, edge caching is introduced to reduce the network traffic and the transmission delay. Due to the limited storage of the...

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Bibliographic Details
Published in:Wireless communications and mobile computing 2022-09, Vol.2022, p.1-10
Main Authors: Han, Longzhe, Li, Sheng, Ao, Chenchen, Liu, Yan, Liu, Guangming, Zhang, Yiying, Zhao, Jia
Format: Article
Language:English
Subjects:
Algorithms
Bandwidths
Caching
Communication
Communications traffic
Content management systems
Decision making
Deep learning
Internet of Vehicles
Machine learning
Markov analysis
Memory management
Multimedia
Network latency
Optimization
Roadsides
Vehicle-to-infrastructure
Vehicles
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Summary:Multimedia applications are expected to widely deploy over vehicular networks. In order to meet the low-latency and high-speed transmission requirements of multimedia applications, edge caching is introduced to reduce the network traffic and the transmission delay. Due to the limited storage of the edge cache server, an efficient approach for the content management plays a decisive role for the edge cache performance. This paper proposes a vehicle-to-infrastructure-based cooperative caching mechanism for Internet of Vehicles to improve the edge cache utilization. The system model is established with the goal of maximizing the cooperative caching hit rate. To jointly consider the collaborations between macrobase stations (MBS) and multiple roadside units (RSU), we propose a reinforcement learning algorithm to adaptively control the cache management. According to the content popularity and the network status, the proposed algorithm can dynamically adjust cached content across relevant MBSs and RSUs. The simulation results show that the proposed cooperative caching mechanism significantly improve the cache utilization and the quality of services.
ISSN:1530-8669
1530-8677
DOI:10.1155/2022/8777890