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    ARTICLE

    Deep Reinforcement Learning Empowered Edge Collaborative Caching Scheme for Internet of Vehicles

    Xin Liu1, Siya Xu1, Chao Yang2, Zhili Wang1,*, Hao Zhang3, Jingye Chi1, Qinghan Li4

    Computer Systems Science and Engineering, Vol.42, No.1, pp. 271-287, 2022, DOI:10.32604/csse.2022.022103

    Abstract With the development of internet of vehicles, the traditional centralized content caching mode transmits content through the core network, which causes a large delay and cannot meet the demands for delay-sensitive services. To solve these problems, on basis of vehicle caching network, we propose an edge collaborative caching scheme. Road side unit (RSU) and mobile edge computing (MEC) are used to collect vehicle information, predict and cache popular content, thereby provide low-latency content delivery services. However, the storage capacity of a single RSU severely limits the edge caching performance and cannot handle intensive content requests at the same time. Through… More >

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