Providing high quality video transmission in VANETs is very challenging due to the highly dynamic, unpredictable topology, and low bandwidth characteristics. In this article, we design a system able to optimally transmit RTP video streams in an IP-based multihomed VANET. By splitting the video through its different frame types in the array of multihomed paths from the center node of the network to the clients, the system can then send critical frames, depending on the used coding standard, through a more reliable path, in order to improve the video performance even if the quality is degraded due to bad signal reception. Two different content-based multihomed video distribution schemes have been proposed: linear selection, where the system is able to select more reliable paths for higher prioritized segments; and adaptive selection, where the paths are sensed to assess their congestion level in a real-time approach. Through real deployment of these approaches in a real vehicular scenario, with mobility, handovers and multihoming, the proposed approaches achieved a strong decrease in the loss percentage, with a maximum of approximately 60.4%, greatly improving the video quality while on the move.

由于高度动态，不可预测的拓扑结构和低带宽特性，在VANET中提供高质量的视频传输非常具有挑战性。在本文中，我们设计了一个系统，该系统能够在基于IP的多宿主VANET中以最佳方式传输RTP视频流。通过将视频按从网络中心节点到客户端的多宿主路径阵列中不同的帧类型进行拆分，系统可以根据所使用的编码标准，通过更可靠的路径发送关键帧，以便即使由于不良的信号接收而导致质量下降，也可以提高视频性能。已经提出了两种不同的基于内容的多宿主视频分发方案：线性选择，其中系统能够为更高优先级的分段选择更可靠的路径；和自适应选择 检测路径以实时方式评估其拥塞程度。通过在移动性，切换和多宿主的真实车辆场景中实际部署这些方法，所提出的方法实现了损耗百分比的极大降低，最大降低了约60.4％，极大地改善了移动中的视频质量。