VANET: Is 95% probability of packet reception safe?

Natalya An, Tristan Gaugel, H. Hartenstein
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引用次数: 63

Abstract

In Vehicular Ad Hoc Networks vehicles periodically send beacon messages in order to gain mutual awareness of each others' presence. Successful reception of such beacons depends on various network conditions, e.g., transmission rate and power, as well as radio fading. Vehicular applications rely on such mutual awareness to supply the driver with safety and efficiency notifications. The Probability of Packet Reception (PPR) is the most common metric that is used to describe network performance, nevertheless, it is reflecting neither the acquired awareness nor application performance. Awareness, resides between network and application layers and can enable application layer to understand the network metrics and thus facilitate an evaluation of application performance. In this paper, we provide a methodology framework to evaluate application performance utilizing awareness. For this we first analyze the relationship between PPR and awareness and investigate feasible regions of network parameters and corresponding awareness ranges. Then we perform an evaluation of various awareness ranges on traffic safety metrics for the specific safety use case of a Stationary Vehicle Warning. We consider realistic driver behavior parameters and evaluate when awareness implies safety. As a second use case, Lane Change Warning application example is used to identify the required communication parameters that have to be met for a proper application performance.
薇妮:95%的接收概率是安全的吗?
在车载自组织网络中,车辆定期发送信标消息,以获得彼此存在的相互意识。这种信标的成功接收取决于各种网络条件,例如,传输速率和功率,以及无线电衰落。车辆应用程序依赖于这种相互意识,为驾驶员提供安全和效率通知。包接收概率(PPR)是用来描述网络性能的最常用度量,然而,它既不能反映获得的感知,也不能反映应用程序的性能。感知,位于网络层和应用程序层之间,可以使应用程序层理解网络指标,从而促进对应用程序性能的评估。在本文中,我们提供了一个利用感知来评估应用程序性能的方法框架。为此,我们首先分析了PPR与感知的关系,探讨了网络参数的可行区域和相应的感知范围。然后,我们对固定车辆警告的特定安全用例的交通安全度量的各种意识范围进行评估。我们考虑现实的驾驶员行为参数,并评估当意识意味着安全。作为第二个用例,Lane Change Warning应用程序示例用于识别为获得适当的应用程序性能而必须满足的所需通信参数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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