综述

机载时间敏感组网分析综述

  • 何锋 ,
  • 李二帅 ,
  • 周璇 ,
  • 赵露茜
展开
  • 北京航空航天大学 电子信息工程学院,北京 100083
.E-mail: lomoo@buaa.edu.cn

收稿日期: 2022-10-25

  修回日期: 2022-11-14

  录用日期: 2023-01-14

  网络出版日期: 2023-02-10

基金资助

国家自然科学基金(62071023);深圳虚拟大学园自由探索类基础研究项目(2021Szvup082)

A review of airborne time sensitive networking

  • Feng HE ,
  • Ershuai LI ,
  • Xuan ZHOU ,
  • Luxi ZHAO
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  • School of Electronic and Information Engineering,Beihang University,Beijing  100083,China
E-mail: lomoo@buaa.edu.cn

Received date: 2022-10-25

  Revised date: 2022-11-14

  Accepted date: 2023-01-14

  Online published: 2023-02-10

Supported by

National Natural Science Foundation of China(62071023);Free Exploration Basic Research Project of Shenzhen Virtual University Park(2021Szvup082)

摘要

时间敏感网络“准时、准确”的调度与传输机制可以有效地提升工业自动化系统、车载综合电子系统中信息交互的确定性,潜在的也成为了机载系统高确定性组网的候选方案之一,但如何将其多种时间敏感整形和调度机制与机载组网环境和需求进行匹配,是当下首要解决的问题。在对现阶段的时间敏感网络的标准进行总结的基础上,详细分析了机载组网的需求,并从时间敏感网络调度与优化、保证时延边界分析两方面总结了当下时间敏感网络相关研究的最新进展,以及与机载组网环境相结合的考虑,进一步针对机载组网的典型需求,从协议剪裁、体系管理、模型工程、可靠安全、无线混传等方面详细讨论了时间敏感网络技术在机载环境应用所面临的挑战和关键技术。

本文引用格式

何锋 , 李二帅 , 周璇 , 赵露茜 . 机载时间敏感组网分析综述[J]. 航空学报, 2023 , 44(17) : 28165 -028165 . DOI: 10.7527/S1000-6893.2023.28165

Abstract

The “on time and deterministic” scheduling and transmission mechanism of Time-Sensitive Networking (TSN) can effectively improve the determinism of information interaction in industrial automation systems and vehicle integrated electronics systems. Therefore, TSN has potentially become one of the candidates for high-deterministic networking of avionics systems. However, how to match its various time-sensitive shaping and scheduling mechanisms with the airborne networking environment and requirements is the primary problem to be solved at present. Based on a summary of current TSN standards, this paper firstly analyzes the requirements of airborne networking. Then, the latest progress of current TSN related research is summarized from the perspectives of TSN scheduling optimization and delay boundary analysis. This paper also discusses the challenges and key technologies of TSN in the airborne environment in terms of protocol tailoring, system management, model engineering, reliability and security, and wireless hybrid transmission.

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