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:用于不可靠的基于高移动性传感器的VANET的可靠健壮的数据传输

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:为了实现主动安全驾驶和无人驾驶自动驾驶汽车,近来已成为基于传感器的智能运输系统(S-ITS)的主要趋势。但是,在高移动性,不可靠的基于传感器的车载自组网(S-VANET)中,很难将紧急消息或行车视频及时发送到接收方,排长或云服务器。因此,主动安全驾驶的效率大大降低。可靠的端到端传输协议具有极其不可靠的链接和高移动性,并且很难为数据传输提供准确的拥塞窗口(cwnd)。因此,本文提出了一种基于跨层的可靠鲁棒传输控制协议,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,这项工作提出了几种TCP状态:正常,拥塞,丢失,不稳定,冻结和断开连接,以便根据第2层(L2)和第3层的基础网络状态来控制TCP cwnd( L3)协议。数值结果表明,CL-TCP在吞吐量,链接中断数,平均数据包传输率等方面优于其他同类产品。此外,CL-TCP在基于传感器的VANET连接中具有更高的公平性。

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