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1. 南京邮电大学通信与信息工程学院,江苏 南京210003
2. 江苏南邮物联网科技园有限公司,江苏 南京 210003
Published Online:2016-03,
Published:20 March 2016
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Huimin WANG, Haitao ZHAO. Prediction and modeling of connectivity probability in vehicular Ad Hoc networks[J]. Telecommunication science, 2016, 32(3): 118-122.
Huimin WANG, Haitao ZHAO. Prediction and modeling of connectivity probability in vehicular Ad Hoc networks[J]. Telecommunication science, 2016, 32(3): 118-122. DOI: 10.11959/j.issn.1000-0801.2016037.
近年来,随着车载通信技术的快速发展,作为物联网应用之一的车联网基础应用越来越引起人们的关注。连通概率是车辆通信的基本要素之一。提出了一个基于公路模型的连通概率预测算法,并对高速公路上车辆的联合分布进行了研究,定量地分析出了段的连通概率上下界的计算式,用Rstudio推导出了段连通概率和每个元胞平均车辆数目的关系图,最后根据路径的连通概率,计算路径包含的所有段的连通概率的乘积,得出路径的连通概率计算模型。分析结果表明,可以通过增大通信距离或者车辆密度的方法来提高整个路径的连通概率。
Recently,with the rapid development of vehicular communication technology,IoV(internet of vehicles)as one of the applications of IoT(internet of things),is attracting more and more attention as well as its basic applications.The algorithm of predicting the connectivity probability based on highway model was proposed.Also,the joint distribution of vehicles on highway was studied,and the equation calculating the boundaries of connectivity probability on one road segment was analyzed quantitatively.The diagram presenting the relationship between the connectivity probability on one road segment and the average number of vehicles in each tuple was depicted by Rstudio.As a consequence,the model of connectivity probability on one path was achieved by calculating the products of the connectivity probability on all road segments along one path.The analysis result shows that the connectivity probability on one path can be improved by increasing the communication range or the density of vehicles.
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