An Adaptive Multimedia Signal Transmission Strategy in Cloud-Assisted Vehicular Networks

Recently, Vehicular Ad-hoc Network (VANET) has been drawing lots of attentions from many researchers. It is considered as an important future network for Intelligent Transportation Systems (ITS). Meanwhile, the cloud network has been gradually accepted by more and more customers as a flexible storage and computing facility. In this paper, we propose a novel communication system to integrate vehicular network and Cloud to provide shareable multimedia services, i.e., local news, weather forecast, popular game videos etc. To achieve this goal, a relay-selective multi-hop scheme is designed in this system where Road Side Units (RSU) will be allocated by Cloud assistance to provide multimedia services. This scheme has been proved to be able to take precautionary measures for severe weathers and also reduce transmission burdens in wireless channels. Moreover, we apply the Hybrid Automatic Repeat Quest (HARQ) mechanism based on multimedia data to improve the transmission reliability. Simulation results show that our proposed scheme can support and improve the shareable multimedia service, especially in throughput-sensitive and high-speed vehicular networks.