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Trajectory-Based Data Forwarding for Light-Traffic Vehicular Ad Hoc Networks

机译:轻便交通自组织网络的基于轨迹的数据转发

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This paper proposes a Trajectory-Based Data (TBD) Forwarding scheme, tailored for the data forwarding for roadside reports in light-traffic vehicular ad hoc networks. State-of-the-art schemes have demonstrated the effectiveness of their data forwarding strategies by exploiting known vehicular traffic statistics (e.g., densities and speeds). These results are encouraging, however, further improvements can be made by taking advantage of the growing popularity of GPS-based navigation systems. This paper presents the first attempt to effectively utilize vehicles' trajectory information in a privacy-preserving manner. In our design, such trajectory information is combined with the vehicular traffic statistics for a better performance. In a distributed way, each individual vehicle computes its end-to-end expected delivery delay to the Internet access points based on its position on its vehicle trajectory and exchanges this delay with neighboring vehicles to determine the best next-hop vehicle. For the accurate end-to-end delay computation, this paper also proposes a link delay model to estimate the packet forwarding delay on a road segment. Through theoretical analysis and extensive simulation, it is shown that our link delay model provides the accurate link delay estimation and our forwarding design outperforms the existing scheme in terms of both the data delivery delay and packet delivery ratio.
机译:本文提出了一种基于轨迹的数据(TBD)转发方案,该方案专为轻型交通运输自组织网络中路边报告的数据转发而设计。最新的方案通过利用已知的车辆交通统计数据(例如,密度和速度)证明了其数据转发策略的有效性。这些结果令人鼓舞,但是,可以利用基于GPS的导航系统的日益普及来进行进一步的改进。本文提出了以隐私保护方式有效利用车辆轨迹信息的首次尝试。在我们的设计中,此类轨迹信息与车辆交通统计信息相结合,以获得更好的性能。以分布式的方式,每个单独的车辆都基于其在车辆轨迹上的位置来计算其到Internet接入点的端到端预期交付延迟,并与相邻车辆交换此延迟,以确定最佳的下一跳车辆。为了进行精确的端到端延迟计算,本文还提出了一种链路延迟模型来估计路段上的数据包转发延迟。通过理论分析和广泛的仿真,可以看出我们的链路延迟模型可以提供准确的链路延迟估计,并且在数据传输延迟和分组传输率方面,我们的转发设计均优于现有方案。

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