面向高速公路环境的VANETs中V2V链路时延的动态预测
发布时间：2018-07-26 13:24
【摘要】：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。
[Abstract]:Considering that the existing theoretical analysis methods of (MANETs) and (VANETs) link delay in mobile ad hoc networks are too complex to dynamically predict the two-vehicle link delay in actual VANETs, a mathematical model for dynamically predicting link delay (DPLD) is proposed. The model takes into account the effects of the relative velocity distribution, distance variation and traffic flow density on the link delay between the two vehicles, and can predict the expected link delay between the two vehicles. The realization of the model depends on the estimation method of relative velocity distribution, the data pre-processing based on exponential moving average (EMA) and the influence of traffic density on link delay through processing speed variation. The simulation results show that the DPLD model is very accurate in predicting the time delay of two vehicles on the freeway.
【作者单位】： 哈尔滨工业大学计算机学院;浙江师范大学计算机学院;南京邮电大学物联网学院;
【基金】：国家自然科学基金(61272130)资助项目
【分类号】：TN929.5
本文编号：2146148
[Abstract]:Considering that the existing theoretical analysis methods of (MANETs) and (VANETs) link delay in mobile ad hoc networks are too complex to dynamically predict the two-vehicle link delay in actual VANETs, a mathematical model for dynamically predicting link delay (DPLD) is proposed. The model takes into account the effects of the relative velocity distribution, distance variation and traffic flow density on the link delay between the two vehicles, and can predict the expected link delay between the two vehicles. The realization of the model depends on the estimation method of relative velocity distribution, the data pre-processing based on exponential moving average (EMA) and the influence of traffic density on link delay through processing speed variation. The simulation results show that the DPLD model is very accurate in predicting the time delay of two vehicles on the freeway.
【作者单位】： 哈尔滨工业大学计算机学院;浙江师范大学计算机学院;南京邮电大学物联网学院;
【基金】：国家自然科学基金(61272130)资助项目
【分类号】：TN929.5
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