ZTE Communications ›› 2018, Vol. 16 ›› Issue (4): 57-64.doi: 10.19729/j.cnki.1673-5188.2018.04.009

• Review • Previous Articles    

Time Sensitive Networking Technology Overview and Performance Analysis

FU Shousai, ZHANG Hesheng, CHEN Jinghe   

  1. Beijing Jiaotong University, Beijing 100044, China
  • Received:2018-01-14 Online:2018-01-14 Published:2018-10-25
  • About author:FU Shousai (16121438@bjtu.edu.cn) received his bachelor’s degree in electrical engineering from Inner Mongolia University of Technology, China. Now he is a master candidate in electrical engineering at Beijing Jiaotong University, China, and he engages in research of fieldbus and industrial Ethernet.|ZHANG Hesheng (hszhang@bjtu.edu.cn) received his B.S.E.E. and M.S. degrees in electrical engineering from Northern Jiaotong University of China in 1992 and 1995, respectively. He received his PH.D. degree in automation science and technology from Tsinghua University, China in 2006. He is now a professor with School of Electrical Engineering, Beijing Jiaotong University, China. His research interests include fieldbus, sensor network, network communication performance, and intelligent control. He is a senior member of the CES and CCF. Dr. ZHANG has published more than 60 papers in the journals and conferences as the first or second author, and has applied for nine national invention patents as the first inventor.|CHEN Jinghe (16121422@bjtu.edu.cn) received her bachelor’s degree in electrical engineering from Jinan University, China. Now she is a master candidate in electrical engineering at Beijing Jiaotong University, China, and she engages in research of fieldbus and industrial Ethernet.
  • Supported by:
    This work was supported by ZTE Industry-Academia-Research Cooperation Funds.

Abstract:

Time sensitive networking (TSN) is a set of standards developed on the basis of audio video bridging (AVB). It has a promising future in the Industrial Internet of Things and vehicle-mounted multimedia, with such advantages as high bandwidth, interoperability and low cost. In this paper, the TSN protocol stack is described and key technologies of network operation are summarized, including time synchronization, scheduling and flow shaping, flow management and fault tolerant mechanism. The TSN network model is then established. Its performance is illustrated to show how the frame priority works and also show the influence of IEEE802.1Qbv time-aware shaper and IEEE802.1Qbu frame preemption on network and time-sensitive data. Finally, we briefly discuss the challenges faced by TSN and the focus of future research.

Key words: TSN, AVB, the industrial internet of things (IIoT)