Content Retrieval Based on Vehicular Cloud in Internet of Vehicles
Xiaonan Wang, Yanli Li · IEEE Transactions on Computational Social Systems · 2019
The primary goal of the Internet of Vehicle (IoV) is to achieve high-quality content communications in order to enable a safe, comfortable, and environment-aware driving. Therefore, it is significant to reduce content retrieval latency and improve content retrieval success rates. However, Internet Protocol (IP)-based communications might lead to considerable content retrieval latency and high-content retrieval failure rates when they are applied in IoV. To reduce content retrieval latency and improve success rates, we combine vehicular cloud (VC) with IoV and propose a VC-based content retrieval solution in IoV. In this solution, vehicles do not perform handovers, so the content retrieval success rate is improved. Moreover, vehicles can retrieve the content from the nearest VC member in a unicast way, so the content retrieval latency is reduced. This solution is analyzed and evaluated, and the data show that it effectively achieves the above objectives.