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RCVC: RSU-Aided Cluster-Based Vehicular Clouds Architecture for Urban Areas
Electronics ( IF 2.6 ) Pub Date : 2021-01-15 , DOI: 10.3390/electronics10020193
Mohamed Ben bezziane , Ahmed Korichi , Chaker Abdelaziz Kerrache , Mohamed el Amine Fekair

As a promising topic of research, Vehicular Cloud (VC) incorporates cloud computing and ad-hoc vehicular network (VANET). In VC, supplier vehicles provide their services to consumer vehicles in real-time. These services have a significant impact on the applications of internet access, storage and data. Due to the high-speed mobility of vehicles, users in consumer vehicles need a mechanism to discover services in their vicinity. Besides this, quality of service varies from one supplier vehicle to another; thus, consumer vehicles attempt to pick out the most appropriate services. In this paper, we propose a novel protocol named RSU-aided Cluster-based Vehicular Clouds protocol (RCVC), which constructs the VC using the Road Side Unit (RSU) directory and Cluster Head (CH) directory to make the resources of supplier vehicles more visible. While clusters of vehicles that move on the same road form a mobile cloud, the remaining vehicles form a different cloud on the road side unit. Furthermore, the consumption operation is achieved via the service selection method, which is managed by the CHs and RSUs based on a mathematical model to select the best services. Simulation results prove the effectiveness of our protocol in terms of service discovery and end-to-end delay, where we achieved service discovery and end-to-end delay of 3 × 10–3 s and 13 × 10–2 s, respectively. Moreover, we carried out an experimental comparison, revealing that the proposed method outperformed several states of the art protocols.

中文翻译:

RCVC:RSU辅助的基于集群的城市车辆云架构

作为有前途的研究主题,车载云(VC)融合了云计算和自组织车载网络(VANET)。在VC中,供应商车辆实时向消费类车辆提供服务。这些服务对互联网访问,存储和数据的应用产生重大影响。由于车辆的高速移动性,消费车辆中的用户需要一种机制来发现其附近的服务。除此之外,服务质量从一种供方车辆到另一种供方车辆都是不同的。因此,消费者车辆试图选择最合适的服务。在本文中,我们提出了一种新的协议,称为RSU辅助的基于簇的车云协议(RCVC),该协议使用路边单元(RSU)目录和簇头(CH)目录构造VC,以制造供应商车辆的资源。更明显。在同一条道路上行驶的车辆集群形成移动云,而其余车辆在路侧单元上形成不​​同的云。此外,通过服务选择方法实现消费操作,该服务选择方法由CH和RSU根据数学模型进行管理以选择最佳服务。仿真结果证明了我们的协议在服务发现和端到端延迟方面的有效性,其中我们实现了3×10的服务发现和端到端延迟–3 s和13×10 –2 s。此外,我们进行了实验比较,发现所提出的方法优于几种最新的协议。
更新日期:2021-01-15
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