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QoS-aware multi-path video streaming for urban VANETs using ACO algorithm
Telecommunication Systems ( IF 1.7 ) Pub Date : 2020-06-11 , DOI: 10.1007/s11235-020-00677-7
Mohammad Vafaei , Ahmad Khademzadeh , Mohammad Ali Pourmina

Drivers can be provided with several beneficial services associated with video streaming in a vehicular ad-hoc network (VANET). Given the dynamic topology and high mobility of VANETs, a single path cannot support the required quality of service (QoS). To maximize global QoS metrics, a two-path model is proposed based on a disjoint algorithm to forward sub-streams over diverse paths from the transmitter to the receiver vehicle. In this solution, the video information spread in separate paths is categorized based on their priority. For this purpose, the protocol for transmitting each kind of video data should be selected cautiously. The present study aims to propose an ant colony optimization-based technique to establish the primary and secondary paths and enhance the QoS of routing paths. To achieve this goal, the QoS routing issue is formulated mathematically as a problem of constrained optimization. Moreover, to achieve high-quality video streaming, inter-frames are transmitted over the user datagram protocol and intra-frames are transmitted over the transmission control protocol (TCP). TCP transmission delays are also minimized using a TCP-ETX algorithm for selecting appropriate paths. According to the simulation results, the proposed two-path solution can be used to improve the quality of video streaming and to enhance the performance in terms of end-to-end delay, packet delivery ratio, and overhead. In this way, the proposed method can outperform several prominent routing algorithms such as adaptive QoS-based routing for VANETs, geographic source routing (GSR), intersection-based geographical routing protocol, and efficient GSR.



中文翻译:

使用ACO算法的城市VANET的QoS感知多路径视频流

可以为驾驶员提供与车辆自组织网络(VANET)中的视频流相关的多种有益服务。考虑到VANET的动态拓扑和高移动性,单个路径无法支持所需的服务质量(QoS)。为了最大化全局QoS度量,提出了一种基于不相交算法的两路径模型,以在从发射机到接收机车辆的各种路径上转发子流。在该解决方案中,在单独路径中传播的视频信息基于其优先级进行分类。为此,应谨慎选择用于传输各种视频数据的协议。本研究旨在提出一种基于蚁群优化的技术,以建立主要路径和次要路径并增强路由路径的QoS。为了实现这个目标,QoS路由问题在数学上被公式化为约束优化问题。此外,为了实现高质量的视频流,通过用户数据报协议传输帧间,并通过传输控制协议(TCP)传输帧内。使用TCP-ETX算法选择适当的路径,还可以最大程度地减少TCP传输延迟。根据仿真结果,所提出的两路径解决方案可用于改善视频流的质量,并在端到端延迟,分组传输率和开销方面提高性能。这样,所提出的方法可以胜过几种著名的路由算法,例如VANET的基于QoS的自适应路由,地理源路由(GSR),基于交叉点的地理路由协议以及有效的GSR。

更新日期:2020-06-11
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