Network Traffic Control System For Vehicular Video Streaming

Résumé: The vehicle network (VANET) is an essential element of intelligent transport systems, which have become a crucial area of research, thanks to technological changes in recent years. These networks generally consist of fixed entities (RSUs) and mobile entities (vehicles). The main objective is to ensure a reliable level of road safety and a comfortable aspect of traveling. With the evolution of Internet capabilities, vehicles have become more intelligent on the road, where a new range of modern applications has emerged in the form of communication, management and control. These services allow vehicles to communicate and disseminate safety information through messages and videos, also for the comfortable aspect of traveling by using video streaming and other applications. Indeed, these services are hosted on a modern infrastructure designed for communication such as cloud computing. This convergence leads to the appearance of new paradigms linked to vehicles, namely Vehicular Cloud Computing (VCC) and Vehicular Fog Computing (VFC). Despite these advances, the dissemination of messages in most vehicle scenarios remains a major challenge due to packet delays due to the high mobility of vehicles on the road, frequent changes in topology and the high density of vehicles, which lead to road events and frequent packet loss. The aim of this thesis is subscribed in the context of Vehicular Fog Computing (VFC) applications. Despite the fact that video streaming is the most widely supported and network-sensitive application while driving, we propose a network traffic control system for vehicular video streaming based on the creation of virtual networks. This virtual network is a subset (cluster) of the nodes connecting to each other to achieve efficient routing of information for video streaming packets. This mechanism adapts to the change in topology and the high mobility of the nodes. At the evaluation stage, we simulate the performance of this mechanism using an Omnetpp simulator.

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