Intelligent Transportation Systems have gained significant attention among Internet of Things applications due to its specific features and its high capability to promote the innovation of the automotive industries. As part of smart cities, smart mobility initiatives offer new opportunities for intelligent transportation systems to maximize the utilization of the time-sensitive data that are streaming out of different sensory transport resources to support “newcasting” instead of “forecasting” technique. As a result, efficient information dissemination has become the new production factor, notably in terms of mitigating traffic congestion, maximizing bandwidth utilization, and reducing transmission power consumption over the network. Cloud Computing and its counterparts have been established as relatively stable environments for proving a wide number of tackled solutions. However, the limitations of network bandwidth as well as the rapid expansion into the data transfer rate are still the bottlenecks of vehicular networks. The main contribution of this study is to improve Vehicular Ad hoc Network performance in real-time using a geographically distributed computing architecture based on fog technology. This architecture presents a set of novel techniques from different points of view. These novelties include, (i) a flexible registration methodology for improving the navigation process among mobile vehicles; (ii) a generic distributed mechanism to adjust the communication range and the network connectivity; and (iii) a new mathematical model to ensure transmission reliability through establishing powerful communication channels between the vehicular entities and fog layer. The effectiveness of the proposed architecture is evaluated using several performance metrics such as throughput, delay time, and jitter. The experimental results reveal that the worthiness of the proposed architecture to meet the quality of service requirements is more than other state-of-the-art techniques in the literature review.

中文翻译：

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基于雾技术的新型地理分布式体系结构，可改善车载自组织网络（VANET）的性能

智能交通系统因其独特的功能和促进汽车行业创新的强大能力而在物联网应用中引起了广泛关注。作为智慧城市的一部分，智慧出行计划为智能交通系统提供了新的机会，可以最大程度地利用对时间敏感的数据，这些数据是从不同的感官交通资源中流出来的，以支持“新闻广播”而非“新闻广播”技术。结果，有效的信息传播已成为新的生产要素，尤其是在缓解流量拥塞，最大化带宽利用率以及减少网络上的传输功耗方面。云计算及其同类产品已被确立为相对稳定的环境，可证明各种解决方案。但是，网络带宽的局限性以及向数据传输速率的快速扩展仍然是车载网络的瓶颈。这项研究的主要贡献是使用基于雾技术的地理分布式计算体系结构实时改善车载Ad hoc网络的性能。此体系结构从不同的角度提出了一组新颖的技术。这些新颖性包括 这项研究的主要贡献是使用基于雾技术的地理分布式计算体系结构实时提高了车载Ad hoc网络的性能。此体系结构从不同的角度提出了一组新颖的技术。这些新颖性包括 这项研究的主要贡献是使用基于雾技术的地理分布式计算体系结构实时改善车载Ad hoc网络的性能。此体系结构从不同的角度提出了一组新颖的技术。这些新颖性包括（i）灵活的注册方法，以改善移动车辆之间的导航过程；（ii）调整通讯范围和网络连通性的通用分布式机制；和（ⅲ）一种新的数学模型，以通过建立的车辆用实体和雾层之间强大的通信信道确保传输的可靠性。使用几种性能指标（例如吞吐量，延迟时间和抖动）评估了所提出体系结构的有效性。实验结果表明，所提出的体系结构满足服务质量要求的价值比文献综述中的其他最新技术还重要。