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Networking Infrastructure and Data Management for Cyber-Physical Systems

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Speaker

Song Han
Room: ITE336
Time: Friday February, 8 1pm-2pm
 

Abstract

A cyber-physical system (CPS) is a system featuring a tight combination of, and coordination between, the system's computational and physical elements. A large-scale CPS usually consists of several subsystems which are formed by networked sensors and actuators, and deployed in different locations. These subsystems interact with the physical world and execute specific monitoring and control functions. How to organize the sensors and actuators inside each subsystem and interconnect these physically separated subsystems together to achieve secure, reliable and real-time communication is a big challenge.

In this talk, I will first present a TDMA-based low-power and secure real-time wireless protocol. This protocol can serve as an ideal communication infrastructure for CPS subsystems which require flexible topology control, secure and reliable communication and adjustable real-time service support. I will describe the network management techniques for ensuring the reliable routing and real-time services inside the subsystems and data management techniques for maintaining the quality of the sampled data from the physical world. To evaluate these proposed techniques, we built a prototype system and deployed it in different environments for performance measurement. I will also present a light-weight and scalable solution for interconnecting heterogeneous CPS subsystems together through a slim IP adaptation layer. This approach makes the the underlying connectivity technologies transparent to the application developers and thus enables rapid application development and efficient migration among different CPS platforms.

Biography

Song Han is currently a Postdoctoral Research Fellow in the University of Texas at Austin. He holds the B.S. degree in computer science from Nanjing University, the M.Phil. degree in computer science from City University of Hong Kong, and the Ph.D. degree in computer science from the University of Texas at Austin. His research interests include Cyber-Physical Systems, Real-Time and Embedded Sensing and Control Systems, Wireless Networks and Mobile Computing.

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