CAREER: Taming Uncertainties in Reliable, Real-Time Messaging for Wireless Networked Sensing and Control

职业：克服无线网络传感和控制的可靠实时消息传递的不确定性

• 批准号: 1821736
• 负责人: Hongwei Zhang
• 金额: $ 7.92万
• 依托单位: Iowa State University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-09-01 至 2018-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1821736&HistoricalAwards=false
• 关键词: CAREER; Taming; Uncertainties; Reliable; Real

Message passing in wireless networked sensing and control systems must be reliable and in real-time. Such design challenges require new models and distributed protocols for messaging that can handle interference locally and accurately, given the basic problem of computing probabilistic path delays is NP-hard. Focusing on single-hop transmission scheduling and multi-hop spatio-temporal data flow control, this project makes novel contributions by proposing two major research tasks: 1) investigation of control-theoretic approaches to online model instantiation, based on the physical-ratio-K (PRK) interference model, and addressing the challenges of large interference range as well as anisotropic, asymmetric wireless communication; 2) developing a lightweight approach to computing probabilistic path delays followed by a multi-timescale adaptation framework for real-time messaging. In particular, the PRK interference model integrates protocol model's locality with physical model's high-fidelity, thus bridging the gap between the suitability for distributed implementation and the enabled scheduling performance. By controlling network operations at the same timescale as the corresponding dynamics, the proposed multi-timescale adaptation framework ensures long-term optimality while simultaneously addressing short-term dynamics. Additionally, this project includes an integrated, multi-level, multi-component education plan. The education activities will raise public awareness, improve student retention and participation of underrepresented groups in computing.

无线网络传感与控制系统中的信息传递必须是可靠的和实时的。这样的设计挑战需要新的模型和分布式协议的消息传递，可以处理干扰本地和准确地，计算概率路径延迟的基本问题是NP难的。本项目以单跳传输调度和多跳时空数据流控制为研究重点，提出了两个主要的研究任务：1）基于物理比K干扰模型，研究在线模型实例化的控制理论方法，解决大干扰范围和各向异性、非对称无线通信的挑战; 2）开发一种轻量级的方法来计算概率路径延迟，然后是用于实时消息传递的多时标自适应框架。特别地，该干扰模型将协议模型的局部性与物理模型的高保真度相结合，从而弥合了分布式实现的适用性与启用的调度性能之间的差距。通过在与相应动态相同的时间尺度上控制网络操作，提出的多时间尺度自适应框架确保长期最优性，同时解决短期动态问题。此外，该项目还包括一个综合、多层次、多组成部分的教育计划。教育活动将提高公众认识，提高学生的保留率，并使代表性不足的群体更多地参与计算。

项目成果

Scheduling with predictable link reliability for wireless networked control

• DOI: 10.1109/iwqos.2015.7404753
• 发表时间: 2015-06
• 期刊: 2015 IEEE 23rd International Symposium on Quality of Service (IWQoS)
• 作者: Hongwei Zhang;Xiaohui Liu;Chuan Li;Yu Chen;X. Che;F. Lin;L. Wang;G. Yin

Probabilistic Per-Packet Real-Time Guarantees for Wireless Networked Sensing and Control

• DOI: 10.1109/tii.2018.2795567
• 发表时间: 2018-01
• 期刊: IEEE Transactions on Industrial Informatics
• 影响因子: 12.3
• 作者: Yu Chen;Hongwei Zhang;N. Fisher;L. Wang;G. Yin

Dynamical Modeling and Distributed Control of Connected and Automated Vehicles: Challenges and Opportunities

联网和自动化车辆的动态建模和分布式控制：挑战和机遇

• DOI: 10.1109/mits.2017.2709781
• 发表时间: 2017-07
• 期刊: IEEE Intelligent Transportation Systems Magazine
• 影响因子: 3.6
• 作者: Shengbo Eben Li;Yang Zheng;Keqiang Li;Feng Gao
• 通讯作者: Feng Gao

Distributed Platoon Control Under Topologies With Complex Eigenvalues: Stability Analysis and Controller Synthesis

• DOI: 10.1109/tcst.2017.2768041
• 发表时间: 2019-01-01
• 期刊: IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY
• 影响因子: 4.8
• 作者: Li, Shengbo Eben;Qin, Xiaohui;Zhang, Hongwei
• 通讯作者: Zhang, Hongwei

Cyber-Physical Scheduling for Predictable Reliability of Inter-Vehicle Communications

• DOI: 10.1109/tvt.2020.2968591
• 发表时间: 2020-01
• 期刊: IEEE Transactions on Vehicular Technology
• 影响因子: 6.8
• 作者: Chuan Li;Hongwei Zhang;Tianyi Zhang;J. Rao;L. Wang;G. Yin