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Context-aware vehicular cyber-physical systems with cloud support: architecture, challenges, and solutions

机译:具有云支持的上下文感知车载网络物理系统:架构,挑战和解决方案

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摘要

The advances in wireless communication techniques, mobile cloud computing, and context- aware technologies boost a growing interest in the design, development, and deployment of vehicular networks for emerging applications. This leads to an increasing evolutionary tendency to change from vehicular networks toward cloud-assisted context-aware vehicular cyberphysical systems. In this article, we first propose a multi-layered context-aware architecture and introduce two crucial service components, vehicular social networks and context-aware vehicular security. Then we propose an application scenario regarding the context-aware dynamic parking services by illuminating the cloud-assisted architecture and logic flow. Finally, we investigate the challenges and possible solutions, including context-aware safety hazard prediction, context-aware dynamic vehicle routing, and context- aware vehicular clouds.
机译:无线通信技术,移动云计算和上下文感知技术的进步激发了人们对针对新兴应用的车载网络的设计,开发和部署的兴趣。这导致从车载网络向云辅助的上下文感知车载网络物理系统转变的发展趋势不断增强。在本文中,我们首先提出了一个多层的上下文感知架构,并介绍了两个关键的服务组件,即车辆社交网络和上下文感知车辆安全。然后,我们通过阐述云辅助架构和逻辑流程,提出了一个有关情境感知动态停车服务的应用场景。最后,我们研究了挑战和可能的解决方案,包括上下文感知的安全隐患预测,上下文感知的动态车辆路径和上下文感知的车辆云。

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