MOMMA: A Flexible Architecture Based on Fog Computing for Mobility Management

E. P. Valentini, D. Lieira, L. H. Nakamura, L. Villas, R. Meneguette
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Abstract

Due to the emergence of new services offered by intelligent transport systems and vehicular clouds, control of communication between vehicles and the Internet becomes indispensable, in which such control needs to deal with the demand for services provided by such systems, without overloading network technologies. Thus, in this paper, we propose the development of a flexible architecture capable of meeting not only the network demands, but also the quality of service parameters of each class of service that are offered by intelligent transport systems or vehicular clouds through the Internet. Thus, we seek to maximize the flow of information without compromising network performance. For the evaluation of the proposed architecture as well as to make a comparison with three related works in the literature we use the simulator NS3. The results showed that the proposed mechanism reduces packet loss, maximizes the input information and decreases handover time.
MOMMA:一种基于雾计算的机动管理灵活架构
由于智能交通系统和车辆云提供的新服务的出现,车辆与互联网之间的通信控制变得必不可少,这种控制需要处理系统提供的服务需求,而不会使网络技术过载。因此,在本文中,我们建议开发一种灵活的架构,不仅能够满足网络需求,而且能够满足智能交通系统或车辆云通过互联网提供的每一类服务的服务质量参数。因此,我们寻求在不影响网络性能的情况下最大化信息流。为了评估所提出的架构,并与文献中的三个相关作品进行比较,我们使用了模拟器NS3。结果表明,该机制减少了丢包,最大化了输入信息,缩短了切换时间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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