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.

无线网络传感和控制系统中传递的消息必须实时可靠。此类设计挑战需要新的模型和分布式协议，以进行消息传递，鉴于计算概率路径延迟的基本问题，可以在本地和准确地处理干扰。 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）开发一种轻巧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间适应框架。特别是，PRK干扰模型将协议模型的局部性与物理模型的高保真度集成在一起，从而弥合了用于分布式实现的适用性和启用的调度性能之间的差距。通过控制与相应动力学同一时间尺度的网络操作，提出的多时间尺度适应框架可确保长期最优性，同时解决短期动态。此外，该项目包括一个集成的多层次，多组成教育计划。这些教育活动将提高公众意识，提高学生的保留率并参与计算中代表性不足的群体。

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

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

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 Scheduling and Power Control for Predictable IoT Communication Reliability

• DOI: 10.1109/icc.2018.8422893
• 发表时间: 2018-05
• 期刊: 2018 IEEE International Conference on Communications (ICC)
• 作者: Ling Wang;Hongwei Zhang;Pengfei Ren