首页> 外文期刊>IEEE transactions on mobile computing >A Street-Centric Opportunistic Routing Protocol Based on Link Correlation for Urban VANETs
【24h】

A Street-Centric Opportunistic Routing Protocol Based on Link Correlation for Urban VANETs

机译:基于链路相关性的城市VANET的以街道为中心的机会路由协议

获取原文
获取原文并翻译 | 示例

摘要

In urban vehicular ad hoc networks (VANETs), due to the high mobility and uneven distribution of vehicles, how to select an optimal relaying node in an intra-street and how to determine a street selection at the intersection are two challenging issues in designing an efficient routing protocol in complex urban environments. In this paper, we build a link model with a Wiener process to predict the probability of link availability, which considers the stable and unstable vehicle states according to the behavior of vehicles. We introduce a novel concept called the link correlation which represents the influence of different link combinations in network topology to transmit a packet with less network resource consumption and higher goodput. Based on this concept, we design an opportunistic routing metric called the expected transmission cost over a multi-hop path (ETCoP) implemented with our link model as the selection guidance of a relaying node in intra-streets. This metric can also provide assistance for the next street selection at an intersection. Finally, we propose a street-centric opportunistic routing protocol based on ETCoP for VANETs (SRPE). Simulation results show that our proposed SRPE outperforms the conventional protocols in terms of packet delivery ratio, average end-to-end delay, and network yield.
机译:在城市车载自组网(VANET)中,由于车辆的高机动性和不均匀分布,如何在路内选择最佳中继节点以及如何在交叉口处确定街道选择是设计路口时面临的两个难题。复杂的城市环境中的高效路由协议。在本文中,我们使用维纳过程建立了一个链接模型,以预测链接可用性的可能性,该模型根据车辆的行为来考虑稳定和不稳定的车辆状态。我们引入了一种称为链接相关性的新颖概念,它表示网络拓扑中不同链接组合对传输具有较少网络资源消耗和较高吞吐量的数据包的影响。基于此概念,我们设计了一种机会路由度量,称为多跳路径(ETCoP)上的预期传输成本,并使用我们的链接模型将其作为街道内中继节点的选择指南。该指标还可以为十字路口的下一条街道选择提供帮助。最后,我们提出了一种基于ETCoP的VANETs(SRPE)的以街道为中心的机会路由协议。仿真结果表明,我们提出的SRPE在数据包传输率,平均端到端延迟和网络产量方面优于传统协议。

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