CAVD: A Traffic-Camera Assisted Live Video Streaming Delivery Strategy in Vehicular Ad Hoc Networks

How to deliver live video streaming in vehicular ad hoc networks (VANETs) has been a hot topic in recent years. However, due to high vehicular speed, frequent disconnection and dynamic topology, it´s difficult to guarantee the low-delay delivery of real-time data, and up to now, there exists no scheme that can deliver such kind of data with satisfied quality. In this paper, we take fully advantage of the existing wireless enabled traffic cameras, and propose CAVD, a novel live video streaming delivery strategy. As the core part of this strategy, we design an algorithm to adaptively select proper camera as Optimal Buffering Point (OBP) for each segment of live video streaming, and through the cooperations of these OBPs, the live video streaming could be delivered to a mobile target vehicle with the minimal start-up delay while satisfying the required visual quality and playback performance. Extensive simulations have been done on real-life taxi trace of Beijing, and the results show that our proposed strategy outperforms existing solutions greatly.