Using Probabilistic Estimates to Guarantee Reliability in Crossroad VANETs
Using Probabilistic Estimates to Guarantee Reliability in Crossroad VANETs
复制标题
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:
影响因子:
--
通讯作者:
A. Masrur
中科院分区:
文献类型:
--
作者:
D. Markert;P. Parsch;A. Masrur
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++.
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
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