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Vehicle Ad-Hoc Network (VANET) applications are proposed in the literature to provide a certain degree of Quality of Service (QoS) to vehicles. Nevertheless, VANET experiences high mobility, dynamic topology and propagation irregularity. These characteristics make the QoS requirements in VANET a challenging issue. In this paper, we propose a novel VANET architecture along with quality of service metrics to allow better QoS provision and an efficient call admission control. Index Terms-VANET; QoS model; Admission Control; QoS management. I. INTRODUCTIONVehicular Ad-Hoc Networking (VANET) has become an attractive research topic in wireless communication. In order to improve and secure the driver's experience, several innovative applications were developed. In particular, safety and comfort applications have been considered in VANET including driver's safety applications, multimedia entertainment, and internet browsing. Each one of these applications should comply with specific requirements that are defined according to the driver's needs and the nature of the provided service. While driver's safety applications are time-critical, other applications are bandwidth intensive. Obviously, any Quality of service (QoS) model provided for VANET should be able to cope with the variety of the aforementioned requirements. Thereby, QoS provisioning in VANET pose a real challenge.One can notices that available research works addressing this issue fail to provide constraining QoS. In particular, routing has been the major issue addressed to handle QoS limited constraints [1], [2]. In [1] authors proposed a scheme allowing the selection and maintenance of one routing path and one backup routing path, having longer expiration times as calculated using relative velocity and node direction. However, the path selection is made based only on the expiration time of the link. Thus, this scheme cannot guarantee the required QoS level in term of other metrics (e.g. Loss, Throughput).With regards to the QoS metrics for efficient communication in VANET, authors in [2] proposed the link lifetime-related metric to optimize route construction. Contrary to [1], the process in [2] does not assume knowledge of the relative velocity vectors or mobility model, whereas the estimates go beyond describing the tendency in terms of the radio propagation. Thus, we identify the importance of living link metric in the provision of QoS in VANET. In [3], a Delay Tolerant Routing protocol (DTRP) is proposed while satisfying QoS constraints on tolerable delay and bandwidth usage by maximizing the connectivity probability of the route between mobile nodes and the gateway based on a genetic algorithm.

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