报告题目：Constrained broadcast with low latency in neighborhood area networks of smart grid

报告人：Prof Yu-Chu Tian

报告时间：2019年07月02（周二）上午10:00

报告地点：1066vip威尼斯宝山校区东区9号楼机自大楼702B会议室

报告摘要：Neighborhood area networks (NANs) are essential communication infrastructure in smart grid. They support communications for various applications including time-critical ones. A typical NAN communication scenario is to send commands from a control center simultaneously to a large number of nodes, demanding low-latency broadcast communications. This is challenging due to the limited bandwidth and large number of nodes in wireless NANs. While some broadcast schemes, e.g., opportunistic flooding, have been developed for general wireless sensor networks, they are not optimized for smart grid NANs with unique characteristics and requirements of time-critical applications. In this talk, a constrained broadcast scheme with minimized latency is presented for low-latency NAN communications. To avoid traffic congestion, it constrains the broadcast to a small number of core nodes. Theoretical developments are presented to show how to select core nodes based on network topology and link reliability. Simulations are conducted to demonstrate our constrained broadcast scheme in NANs.

报告人简介：Dr Yu-Chu Tian is a professor of computer science at the School of Electrical Engineering and Computer Science within Queensland University of Technology in Australia. He received the PhD degree from the University of Sydney in 2009, and the PhD degree from Zhejiang University in 1993. He worked in a number of universities in the mainland of China, Hong Kong, USA and Australia. Since 2002, he has been with Queensland University of Technology, Brisbane, Australia, initially as a Lecturer and Senior Lecturer, later as an Associate Professor and Head of the Discipline of Networks and Communications, and currently as a Professor. He has published a monograph and over 250 refereed papers. His current research interests include big data, distributed computing and cloud computing, evolutionary computation, networks and communications, smart grid communications, and control systems. He is the editor-in-chief of the Handbook of Real-Time Computing.