12月16日：韩松：A Configurable Real-time High-speed Wireless Platform for Industrial Sensing and Control Applications

报告题目: A Configurable Real-time High-speed Wireless Platform for Industrial Sensing and Control Applications

报告人 韩松 博士 美国康尼狄格大学

主持人：陈铭松

报告时间：12月16日周五 10：00-11：00

报告地点：中北校区数学馆201

报告摘要:

Applying wireless technologies in industrial sensing and control systems can significantly enhance the system mobility and reduce the deployment and maintenance cost. Existing wireless technologies, however either cannot provide deterministic timing guarantee on packet delivery or are not fast enough to support high-speed mechanical and robotic control which typically require a sampling rate of more than 1kHz. In this talk, I will present the design of a real-time high-speed wireless protocol called RT-WiFi, and its control-centric real-time network management framework. RT-WiFi is a TDMA data link layer protocol based on IEEE 802.11 physical layer to provide deterministic timing behavior and a high sampling rate of up to 6 kHz. It provides great flexibility to system/application designers to choose design parameters according to target application/system specification, and thus can serve as an ideal communication platform for supporting a wide range of industrial sensing and control systems. We studied a set of important data link layer scheduling problems in RT-WiFi - including 1) real-time sensor data freshness maintenance, 2) jitter minimization and reliability maximization, and 3) online schedule adjustment in the presence of system disturbances - and provided algorithm design with provable system efficiency.  The performance of the RT-WiFi platform has been thoroughly evaluated by integrating it into a data-driven and robot-aided gait rehabilitation system.

 个人简介:

Dr. Song Han is an assistant professor in the Department of Computer Science and Engineering at the University of Connecticut. His research interests include cyber-physical systems, real-time big data analytics, smart healthcare and wireless networking. Dr. Han received his B.S. from Nanjing University, his M.Phil. from the City University of Hong Kong, and his Ph.D. degree from the University of Texas at Austin, all in computer science. He received the Microelectronics and Computer Development Fellowship from 2006 to 2009, the James C. Browne Graduate Fellowship in 2010 and the RTSS Best Paper Award in 2013. He is a member of IEEE and ACM.