| Abstract |
In recent years, with the continuous development of intelligent transportation, vehicular networking has attracted lots of research attention, in particular, for autonomous driving. Vehicular networking can reduce the number of fatalities and injuries in traffic incidents, and bring enjoyment to people. However, as the dynamic vehicular network is designed to transmit reliable massive amount of data reliably, it still faces issues such as overloading, packet dropping and high latency. Therefore, in this paper, we aim to reduce the overheads and improve the efficiency of the transmission by applying the influence maximisation to the dynamic vehicle networks. We propose a double-cluster head routing algorithm for the software-defined vehicular networks (SDVNs), namely, Influence Maximisation-based Cluster Routing algorithm (IMCR), to improve the efficiency and quality of network communication. In the experiments, the results show that compared with the counting algorithms, the proposed algorithm can provide better performance in efficiency, quality and latency of network transmission. © 2019 IEEE. |
