Absorbing Time Synchronization Errors Using Shadow Queues in Time-Sensitive Networking

Time-sensitive networking (TSN) is widely used in industrial automation and automotive applications due to its ability to provide deterministic transmission. To meet the stringent deterministic requirements of time-sensitive traffic, the mainstream traffic management mechanism time-aware shaper (TAS) relies on time synchronization among network devices. TAS schedules periodic traffic transmission using preallocated time windows. However, in real networks, time-sensitive traffic may not be precisely forwarded as scheduled, thus failing to achieve the expected performance. A fundamental reason is that the statically planned transmission schemes cannot accommodate dynamic time synchronization errors. To address this problem, we propose a novel TSN traffic scheduling strategy called robust TAS (RTAS), which utilizes a dual-queue gating structure to define a new scheduling rule for absorbing time synchronization errors to guarantee the real-time performance of scheduled traffic (ST). We conducted extensive simulations on OMNeT++ to study the performance of RTAS in industrial automation scenarios. The results show that RTAS enables deterministic transmission with imperfectly synchronized clocks and minimizes the impact of time synchronization errors on ST.

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Publication Details

Journal
IEEE Internet of Things Journal
Published
2024-12-30
DOI
https://doi.org/10.1109/jiot.2024.3523568
Citations
1
Primary Topic
Network Time Synchronization Technologies
Type
article
Field-Weighted Citation Impact
0.35
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article

Absorbing Time Synchronization Errors Using Shadow Queues in Time-Sensitive Networking

Xiaoqin Feng, Fengyuan Ren, Liwei Zhang, Tong Zhang et al.
1 citations
IEEE Internet of Things Journal
Network Time Synchronization Technologies
0.35
article

Absorbing Time Synchronization Errors Using Shadow Queues in Time-Sensitive Networking

Xiaoqin Feng, Fengyuan Ren, Liwei Zhang, Tong Zhang, Yuxia Ma, Hao Yang
article en
1 citations

Abstract

Time-sensitive networking (TSN) is widely used in industrial automation and automotive applications due to its ability to provide deterministic transmission. To meet the stringent deterministic requirements of time-sensitive traffic, the mainstream traffic management mechanism time-aware shaper (TAS) relies on time synchronization among network devices. TAS schedules periodic traffic transmission using preallocated time windows. However, in real networks, time-sensitive traffic may not be precisely forwarded as scheduled, thus failing to achieve the expected performance. A fundamental reason is that the statically planned transmission schemes cannot accommodate dynamic time synchronization errors. To address this problem, we propose a novel TSN traffic scheduling strategy called robust TAS (RTAS), which utilizes a dual-queue gating structure to define a new scheduling rule for absorbing time synchronization errors to guarantee the real-time performance of scheduled traffic (ST). We conducted extensive simulations on OMNeT++ to study the performance of RTAS in industrial automation scenarios. The results show that RTAS enables deterministic transmission with imperfectly synchronized clocks and minimizes the impact of time synchronization errors on ST.

IEEE Internet of Things JournalVol. 12(9)
Lanzhou University (CN), Nanjing University of Aeronautics and Astronautics (CN)
Openalex Percentile: Top 35%
Network Time Synchronization Technologies
0.35
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Absorbing Time Synchronization Errors Using Shadow Queues in Time-Sensitive Networking — Xiaoqin Feng, Fengyuan Ren, et al. · IEEE Internet of Things Journal (2024) | TGRS Research Map | TGRS