With the deployment of multimedia services over VANETs, there is a need to develop new techniques to insure various levels of quality of services (QoS) for real time applications. However, in such environments, it is not an easy task to determine adequate routes to transmit data with specific application QoS requirements. In this paper, we propose CBQoS-Vanet, a new QoS-based routing protocol tailored towards vehicular networks in a highway scenario. This protocol is based on the use of two techniques: first a clustering technique which organizes and optimizes the exchange of routing information and, second, a bee colony inspired algorithm, which calculates the best routes from a source to a destination based on given QoS criteria. In our approach, clusters are formed around cluster heads that are themselves elected based on QoS considerations. The QoS criteria here are based on the two categories of metrics: QoS metrics and mobility metrics. The QoS metrics consists of the available bandwidth, the end-to-end delay, and the jitter. The mobility metrics consists of link expiration time and average velocity difference. We have studied the performance of CBQoS-Vanet through simulation and compared it to existing approaches. The results that we obtained show that our technique outperforms, in many aspects, the approaches that it was compared against.
Recent years have seen a growing interest in Vehicular Ad hoc Networks (VANETs) and their benefits to the development of intelligent transportation systems (ITS). With the deployment of multimedia services over VANETs, there is a need to develop new approaches to insure higher level of quality of services (QoS) for real time applications, and integrate QoS into routing protocols. However, in VANET environment, it is not an easy task to search for routes which satisfy the QoS required by the applications. In this paper, we propose CBQoS-Vanet, a new QoS-based unicast routing protocol for vehicular networks. This protocol is based on the use of two techniques: a clustering algorithm which organizes and optimizes the exchange of the routing information based on QoS requirements, and an artificial bee colony algorithm, which finds the best routes from a source to a destination based on QoS criteria. In our approach clusters are formed around cluster-heads that are elected based on QoS consideration. In this paper we consider the following QoS criteria: available bandwidth, end-to-end delay, jitter, and link expiration time. Through simulation experiments, we show that our method can improve greatly the performance of routing in VANET by selecting routes based on the above mentioned QoS criteria.
Vehicular ad hoc networks (VANET) are gaining popularity for enabling a wide range of applications for road traffic safety, infotainment and road transportation management. For real-time applications to be successfully deployed in VANET, their quality of service (QoS) requirements need to be met. In this paper, we propose a QoS-based routing protocol named FBQoS-Vanet, which accommodates applications with QoS requirements. This protocol uses a bio-inspired artificial bee colony (ABC) approach for discovering routes complying with QoS criteria. We also use fuzzy logic to identify a feasible path among several available ones discovered by ABC. We rely on the evaluation of a composite fuzzy cost expressed in terms of QoS metrics, where the path must satisfy criteria such as: bandwidth, delay, jitter, and link expiry time. The performance results obtained show the benefits of using our scheme for routing various classes of traffic in VANET with different QoS requirements.
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