"High-speed Real-time Communication Platform for Wireless Cyber-Physical Sensing and Control Applications" Date: December 14, 2015 at 10:15
Dr Song Han, University of Connecticut
Title: High-speed Real-time Communication Platform for Wireless Cyber-Physical Sensing and Control Applications
Date: December 14, 2015 at 10:15
Place: Campus Sundsvall, L-building, room L106
Abstract: Applying wireless technologies in sensing and control systems can significantly enhance the system mobility and reduce the deployment and maintenance cost. Existing wireless technology standards, however either cannot provide real-time guarantee on packet delivery or are not fast enough to support high-speed control systems which typically require 1kHz or higher sampling rate. Nondeterministic packet transmission and insufficiently high sampling rate will severely hurt the control performance. In this talk, I will present the design and implementation of a real-time high-speed wireless communication protocol called RT-WiFi. RT-WiFi is a TDMA data link layer protocol based on IEEE 802.11 physical layer to provide deterministic timing guarantee on packet delivery and high sampling rate up to 6 kHz. It incorporates configurable components for adjusting design trade-offs including sampling rate, latency variance, reliability, and compatibility to existing Wi-Fi networks, and thus can serve as an ideal communication platform for supporting a wide range of high-speed wireless control systems. We implemented RT-WiFi on commercial off-the-shelf hardware, studied the jitter-free data link layer scheduling problem to improve the control performance, and integrated them into a mobile gait rehabilitation system. Our extensive experiments demonstrate the effectiveness of RT-WiFi in providing deterministic packet delivery in both data link layer and application layer, which further eases the controller design and significantly improve the control performance.
Short Bio: 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, the RTSS Best Paper Award in 2013 and UConn Research Excellence Award in 2015. He is a member of IEEE and ACM.