【Author】
Baker, Thar; Asim, Muhammad; Samwini, Hezekiah; Shamim, Nauman; Alani, Mohammed M.; Buyya, Rajkumar
【Source】COMPUTER NETWORKS
【Abstract】Rapid urbanization is putting a strain on the transport systems of cities worldwide. The effects of this trend include prolonged traffic jams and increasing environmental pollution from rising CO2 emissions. As city planning requires innovative ways of dealing with the rapid urbanization trend, technological solutions were proposed such as cloud computing, smart vehicles, and Vehicular Ad hoc NETwork (VANET). In this paper, we take advantage of next-generation network technologies to propose a responsive and lightweight framework for smart transportation system which employs blockchain for authentication using fog computing's improvement over cloud computing for distributed applications to provide an efficient and secure transportation system. We take into account the future technologies of 5G and Beyond 5G (B5G) and argue that the integration of B5G technologies, federated learning, blockchain, and edge computing provides the perfect platform necessary for a smart transportation system The evaluation of the proposed framework is done by comparing it to the current cloud-based approach in iFogSim, a popular simulation tool for fog computing research. The evaluation of blockchain-based authentication was done using a customized implementation of blockchain executed in an experimental setup. The simulation results showed that the proposed framework provides superior performance in terms of security, latency, and energy consumption of the system.
【Keywords】Blockchain; Vehicular networks; Fog; Federated learning; Vehicular clouds; Beyond 5G technologies
【标题】一种基于区块链的面向雾的轻量级智能公交系统框架
【摘要】快速的城市化正在给全球城市的交通系统带来压力。这一趋势的影响包括长时间的交通拥堵和不断增加的二氧化碳排放造成的环境污染。由于城市规划需要创新的方式来应对快速的城市化趋势，因此提出了诸如云计算、智能汽车和车载自组织网络（VANET）等技术解决方案。在本文中，我们利用下一代网络技术为智能交通系统提出了一个响应式和轻量级的框架，该框架采用区块链进行身份验证，利用雾计算对分布式应用程序云计算的改进，提供高效、安全的交通系统。我们考虑到 5G 和超越 5G (B5G) 的未来技术，并认为 B5G 技术、联邦学习、区块链和边缘计算的集成为智能交通系统提供了完美的平台。对所提出的框架进行了评估通过将其与 iFogSim 中当前基于云的方法进行比较，iFogSim 是一种流行的雾计算研究模拟工具。基于区块链的身份验证的评估是使用在实验设置中执行的区块链的定制实现来完成的。仿真结果表明，所提出的框架在系统的安全性、延迟和能耗方面提供了卓越的性能。
【关键词】区块链；车载网络；多雾路段;联邦学习；车载云；超越 5G 技术
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