Using Probabilistic Estimates to Guarantee Reliability in Crossroad VANETs

Using Probabilistic Estimates to Guarantee Reliability in Crossroad VANETs
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使用概率估计保证十字路口 VANET 的可靠性

DOI:
10.1145/3132340.3132343
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发表时间:
2017
期刊:
Proceedings of the 6th ACM Symposium on Development and Analysis of Intelligent Vehicular Networks and Applications
影响因子:
--
通讯作者:
A. Masrur
A. Masrur
中科院分区:
--
文献类型:
--
作者:
D. Markert;P. Parsch;A. Masrur

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我们考虑一种智能十字路口,它用路边单元(RSU)取代传统的交通灯,使十字路口的车辆同步,最大限度地减少等待时间和能源消耗(通过避免不必要的刹车和加速)。显然,在这种情况下,需要保证车辆和RSU之间的可靠通信,为此,我们研究了专用车载自组织网络(VANET)的设计和分析。结果表明,可靠性强烈地依赖于十字路口的车辆数量,即车辆越多,干扰就越多,因此可靠性就越低。因此,为了保证期望的可靠性水平,我们首先需要估计十字路口的最坏情况下的车辆数量。然而,直截了当的确定性方法-计算实际可以进入十字路口区域的最大车辆数量-导致了大量的悲观和过度设计。在本文中,我们建议使用概率估计来代替车辆数量,这在保证安全性的同时大大减少了悲观量。我们的方法是基于车辆的统计信息,并允许计算在最坏的情况下在十字路口有一定数量的车辆的概率。我们将这种概率估计结合到VANET的设计和分析中,以获得可靠性保证。最后,我们通过一个详细的案例研究和使用OMNeT++进行的仿真,说明了该方法的优点。
We consider an intelligent crossroad where conventional traffic lights are substituted by a roadside unit (RSU), which synchronizes vehicles at the intersection, minimizing waiting time and energy consumption (by avoiding unnecessary braking and accelerating). Clearly, in this case, a reliable communication needs to be guaranteed between vehicles and the RSU, for which we investigate the design and analysis of specialized Vehicular Ad Hoc Networks (VANETs). It turns out that reliability strongly depends on the number of vehicles at the crossroad, i.e., the more vehicles, the more interference and, hence, the lesser reliability. As a result, to guarantee a desired level of reliability, we first need to estimate the worst-case number of vehicles at the crossroad. However, straightforward, deterministic approaches --- computing the maximum number of vehicles that physically fit into the crossroad's area --- lead to a great amount of pessimism and overdesign. In this paper, we propose using probabilistic estimations for the number of vehicles instead, which greatly reduces the amount of pessimism while still guaranteeing safety. Our approach is based on vehicles' statistical information and allows computing the probability of having a certain number of vehicles at the crossroad in the worst case. We incorporate this probabilistic estimate into the VANET's design and analysis to derive guarantees on reliability. Finally, we illustrate the benefits of the proposed approach by means of a detailed case study and simulations using OMNeT++.
单向时间受限 WSN 的可靠性感知媒体访问控制
DOI: 10.1145/2834848.2834876
发表时间: 2015
期刊: Proceedings of the 23rd International Conference on Real Time and Networks Systems
影响因子: --
作者:
Philip Parsch;Alejandro Masrur
通讯作者: Alejandro Masrur
十字路口交通灯智能模糊控制
DOI: --
发表时间: 2010
期刊: 2010 Second WRI Global Congress on Intelligent Systems
影响因子: --
作者:
L. Wu;Xiaorong Zhang;Zhikai Shi
通讯作者: Zhikai Shi