【摘要】：考慮到現(xiàn)有移動(dòng)自組網(wǎng)絡(luò)(MANETs)和車載自組網(wǎng)絡(luò)(VANETs)鏈路時(shí)延理論分析方法太復(fù)雜,不適合動(dòng)態(tài)預(yù)測(cè)實(shí)際VANETs中兩車鏈路時(shí)延,提出了動(dòng)態(tài)預(yù)測(cè)鏈路時(shí)延(DPLD)的數(shù)學(xué)模型,該模型考慮了兩車相對(duì)速度分布、距離變化和交通流密度變化因素對(duì)兩車之間鏈路時(shí)延的影響,能夠預(yù)測(cè)預(yù)期要發(fā)生的兩車的鏈路時(shí)延。該模型的實(shí)現(xiàn)取決于相對(duì)速度分布的估計(jì)方法、基于指數(shù)移動(dòng)平均(EMA)的數(shù)據(jù)預(yù)先處理以及通過處理速度的變化解決交通密度對(duì)鏈路時(shí)延的影響。仿真結(jié)果表明此DPLD模型在預(yù)測(cè)高速公路上兩車鏈路時(shí)延上具有很高的準(zhǔn)確性。
[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.
【作者單位】： 哈爾濱工業(yè)大學(xué)計(jì)算機(jī)學(xué)院;浙江師范大學(xué)計(jì)算機(jī)學(xué)院;南京郵電大學(xué)物聯(lián)網(wǎng)學(xué)院;
【基金】：國家自然科學(xué)基金(61272130)資助項(xiàng)目
【分類號(hào)】：TN929.5

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