Supporting the Quality of Service (QoS) for broadcasting techniques in Vehicular Ad hoc NETetworks (VANETs) is a primordial concern. Qualitatively, QoS is an aspect reflecting the network performance, but quantitatively, it is a function of multiple parameters such as end-to-end delay, packet loss ratio and overhead. These parameters are changing over time and according to adopted protocols. Therefore, it is very difficult to estimate with a crisp value the system QoS. Besides, there is a lack of technical tools for modelling, measuring and comparing the level of QoS performed by different broadcasting protocols under different network constraints. This paper proposes FUZZYVAN-QoS a holistic model based on a fuzzy system simplifying this problem and going through discussing its dependency on different Vehicular Ad hoc NETtwork (VANET) services and applications types. Then, we use a case study; applied on multiple VANET broadcasting protocols, to illustrate the effectiveness of the proposed model.

中文翻译：

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基于智能模糊系统的车载自组网QoS评价模型

支持车载自组织网络 (VANET) 中广播技术的服务质量 (QoS) 是一个首要问题。定性地，QoS是反映网络性能的一个方面，但定量地，它是端到端延迟、丢包率和开销等多个参数的函数。这些参数随着时间和根据采用的协议而变化。因此，很难用一个清晰​​的值来估计系统 QoS。此外，缺乏用于建模、测量和比较不同广播协议在不同网络约束下执行的 QoS 水平的技术工具。本文提出了 FUZZYVAN-QoS 一个基于模糊系统的整体模型，简化了这个问题，并讨论了它对不同车辆自组织网络 (VANET) 服务和应用程序类型的依赖。然后，我们使用案例研究；应用于多个 VANET 广播协议，以说明所提出模型的有效性。