首页> 外文会议>International Conference on Information Science, Electronics and Electrical Engineering >Reliable robust data transmission for unreliable high mobility sensor-based VANETs
【24h】

Reliable robust data transmission for unreliable high mobility sensor-based VANETs

机译:可靠的强大的数据传输,用于不可靠的高移动式传感器的vanets

获取原文

摘要

To achieve active safe driving and autonomous driverless vehicle have become a key trend in Sensor-based Intelligent Transport Systems (S-ITS) recently. However, in the high-mobility unreliable Sensor-based Vehicular Ad-hoc NETworks (S-VANETs), the emergency messages or the driving videos are difficult to be sent to the receivers, the platoon leader or the cloud server in time. The efficiency of the active safe driving is thus degraded significantly. The reliable end-to-end transmission protocol suffers from extremely unreliable links and high mobility, and hardly provides an accurate congestion window (cwnd) for data transmissions. This paper thus proposes a Cross-Layer-based reliable robust Transmission Control Protocol, namely CL-TCP, to forward real-time emergency messages in Sensor-based VANET. To overcome the unstable network topology in VANET, this work proposes several TCP states: normal, congestion, loss, unstable, frozen and disconnecting, to control TCP cwnd according to the underlying network status of the layer 2 (L2) and the layer 3 (L3) protocols. Numerical results demonstrate that CL-TCP outperforms others in goodput, the number of link-breaks, average packet delivery ratio, etc. Furthermore, CL-TCP yields a higher fairness among sensor-based VANET connections.
机译:为了实现积极的安全驾驶和自主无人驾驶车辆,最近已成为传感器智能运输系统(S-ITS)的关键趋势。然而,在高迁移率不可靠的传感器的车辆ad-hoc网络(S-VANET)中,难以及时向接收器,排级领导者或云服务器发送紧急消息或驾驶视频。因此,主动安全驱动的效率显着降低。可靠的端到端传输协议遭受极其不可靠的链路和高移动性,并且几乎没有提供用于数据传输的准确拥塞窗口(CWND)。因此,本文提出了一种基于跨层的可靠性传输控制协议,即CL-TCP,以在基于传感器的vanet中转发实时紧急消息。为了克服VANET中不稳定的网络拓扑,这项工作提出了几个TCP状态:根据层2(L2)和第3层的基础网络状态来控制TCP CWND的正常,拥塞,丢失,不稳定,冻结和断开连接( L3)协议。数值结果表明,CL-TCP在良品中优于良品,连杆断裂,平均分组输送比等的数量。此外,CL-TCP在基于传感器的Vanet连接之间产生更高的公平性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号