面向高速公路环境的VANETs中V2V链路时延的动态预测

Dynamic prediction of V2V link duration in VANETs for highway environments

考虑到现有移动自组网络(MANETs)和车载自组网络(VANETs)链路时延理论分析方法太复杂,不适合动态预测实际VANETs中两车链路时延,提出了动态预测链路时延(DPLD)的数学模型,该模型考虑了两车相对速度分布、距离变化和交通流密度变化因素对两车之间链路时延的影响,能够预测预期要发生的两车的链路时延。该模型的实现取决于相对速度分布的估计方法、基于指数移动平均(EMA)的数据预先处理以及通过处理速度的变化解决交通密度对链路时延的影响。仿真结果表明此DPLD模型在预测高速公路上两车链路时延上具有很高的准确性。

A mathematic model for dynamic prediction of link duration （DPLD） in vehicular ad hoc networks （VANETs） is proposed because existing methods for theoretical analysis of link duration in both mobile ad hoc networks （MANETs） and VANETs are too complicated to be applied to a practical setting. The practical DPLD model con- siders the distribution of two vehicle＇ s relative velocity, inter-vehicle distance and traffic density to estimate the ex- pected link duration between any pair of connected vehicles. The implementation of the model depends on an ap- proach for relative velocity estimation, an exponential moving average （EMA）-based data processing procedure, and the solving of the impact of the traffic density on link duration by processing the velocity change of vehicles. The simulation results show that the DPLD model can predict link duration with the high accuracy.