CPS: Medium: A Cross-Layer Approach to Taming Cyber-Physical Uncertainties in Vehicular Wireless Networking and Platoon Control

CPS：中：一种跨层方法来克服车辆无线网络和排控制中的网络物理不确定性

• 批准号: 1136007
• 负责人: Hongwei Zhang
• 金额: $ 90万
• 依托单位: Wayne State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-09-01 至 2015-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1136007&HistoricalAwards=false
• 关键词: CPS; Medium; Cross; Layer; Approach

This project proposes a cross-layer framework in which vehicular wireless networking and platoon control interact with each other to tame cyber-physical uncertainties. Based on the real-time capacity region of wireless networking and the physical process of vehicle movements, platoon control selects its control strategies and the corresponding requirements on the timeliness and throughput of wireless data delivery to optimize control performance. Based on the requirements from platoon control, wireless networking controls co-channel interference and adapts to cyber-physical uncertainties to ensure the timeliness and throughput of single-hop as well as multi-hop broadcast. For proactively addressing the impact of vehicle mobility on wireless broadcast, wireless networking also leverages input from platoon control on vehicle movement prediction. In realizing the cross-layer framework, wireless scheduling ensures agile, predictable interference control in the presence of cyber-physical uncertainties. If successful, this project will lead to a general and rigorous framework for wireless vehicular cyber-physical network control that will enable safe, efficient, and clean transportation. The principles and techniques for taming cyber-physical uncertainties will provide insight into other application domains of wireless networked sensing and control such as unmanned aerial vehicles and smart power grids. This project will also develop integrative research and education on wireless cyber-physical systems through multi-level, multi-component educational activities.

该项目提出了一个跨层框架，其中车辆无线网络和排控件相互相互作用以调整网络物理不确定性。基于无线网络的实时容量区域和车辆移动的物理过程，排控制策略以及对无线数据传递的及时性和吞吐量的相应要求，以优化控制性能。根据排控制的要求，无线网络控制共同通道干扰并适应网络物理不确定性，以确保单跳和多跳广播的及时性和吞吐量。为了主动解决车辆迁移率对无线广播的影响，无线网络还利用了排在车辆移动预测中的排量控制的输入。在实现跨层框架时，无线调度可确保在存在网络物理不确定性的情况下敏捷，可预测的干扰控制。如果成功的话，该项目将为无线车辆网络物理网络控制带来一个普遍且严格的框架，该框架将实现安全，高效和清洁的运输。驯服网络物理不确定性的原理和技术将为无线网络传感和控制的其他应用领域（例如无人驾驶飞机和智能电网）提供深入了解。该项目还将通过多层次的多组分教育活动来开发无线网络物理系统的综合研究和教育。