时间敏感网络中的动态路由与调度联合优化算法

周阳; 陈鸿龙; 张雷

doi:10.11959/j.issn.2096-3750.2023.00318

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时间敏感网络中的动态路由与调度联合优化算法

理论与技术 | 更新时间：2024-08-16

- 时间敏感网络中的动态路由与调度联合优化算法
- An algorithm for joint optimization of dynamic routing and scheduling in time-sensitive networking
- 物联网学报 2023年7卷第4期页码：52-62
- 作者机构：
  
  1. 南京邮电大学，江苏南京 210003
  2. 中国石油大学，山东青岛 266580
- 作者简介：
  
  [ "周阳（1999– ），男，南京邮电大学在读，主要研究方向为时间敏感网络的路由与调度优化" ]
  [ "陈鸿龙（1984– ），男，博士，中国石油大学教授，中国计算机学会高级会员，主要研究方向为智能物联网、边缘计算和人工智能安全" ]
  [ "张雷（1983– ），女，博士，南京邮电大学讲师，主要研究方向为实时通信和网络、边缘计算" ]
- 基金信息：
  
  国家自然科学基金资助项目;The National Natural Science Foundation of China(61971235);国家自然科学基金资助项目;The National Natural Science Foundation of China(52105553)
- DOI：10.11959/j.issn.2096-3750.2023.00318
  中图分类号： TP393
- 纸质出版日期：2023-12-20，
  
  网络出版日期：2023-12，
- 稿件说明：
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周阳, 陈鸿龙, 张雷. 时间敏感网络中的动态路由与调度联合优化算法[J]. 物联网学报, 2023,7(4):52-62.

YANG ZHOU, HONGLONG CHEN, LEI ZHANG. An algorithm for joint optimization of dynamic routing and scheduling in time-sensitive networking. [J]. Chinese journal on internet of things, 2023, 7(4): 52-62.
周阳, 陈鸿龙, 张雷. 时间敏感网络中的动态路由与调度联合优化算法[J]. 物联网学报, 2023,7(4):52-62. DOI： 10.11959/j.issn.2096-3750.2023.00318.

YANG ZHOU, HONGLONG CHEN, LEI ZHANG. An algorithm for joint optimization of dynamic routing and scheduling in time-sensitive networking. [J]. Chinese journal on internet of things, 2023, 7(4): 52-62. DOI： 10.11959/j.issn.2096-3750.2023.00318.

摘要

时间敏感网络（TSN

time-sensitive networking）是由IEEE TSN工作组制定的以太网通信标准，致力于在以太网底层实现统一的确定性网络通信。由于 TSN 没有定义流量调度的具体实现方法，路由与调度算法研究仍然是TSN研究领域的一个开放问题。面向工业应用中的TSN建立路由与调度联合优化问题模型，并提出一个在线启发式算法求解动态流量的路由与调度方案。算法同时考虑传输时延和网络负载因素确定路由路径，并利用两次剪裁操作快速确定调度时间。最后基于OMNeT的NeSTiNg框架实现TSN仿真环境。仿真结果表明，所提算法与参考算法相比，随着网络规模和网络流量增加始终可以在较短时间内完成增量流量的调度，保证了动态变化网络环境下实时流量的传输性能。

Abstract

Time-sensitive networking (TSN) is a set of protocols developed by the IEEE TSN task group

aiming at achieving deterministic communications over Ethernet.As the implementation method of TSN traffic scheduling is not specified in the protocols

the routing and scheduling algorithm for TSN remains an open issue.The joint optimization problem of routing and scheduling in TSN for industrial applications was modeled

and then an online heuristic algorithm was proposed to deliver the routing and scheduling solution for dynamic traffics.The routing path was determined by optimizing both the transmission delay and network load factors

and the scheduling time was quickly conducted by twice clipping operations.Finally

a simulated TSN testbed was developed with NeSTiNg framework based on OMNeT.The simulation results show that the execution time of the proposed algorithm outperforms the baseline algorithms even with large scale of network size and network traffics.It shows that the proposed algorithm guarantees the real-time performance even in dynamically changing networks.

关键词

时间敏感网络802.1Qbv路由在线调度

Keywords

time-sensitive networking802.1Qbvroutingonline scheduling

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