Fast Incremental Scheduling Method for In-Vehicle Time Sensitive Network Based on Preemption

To ensure high determinism and low latency requirements of tasks within vehicular networks, Time Sensitive Network (TSN) is being attempted to be integrated into the communication architecture of automotive electronic systems. However, the current static configuration approach of TSN is illequipped to handle complex and dynamic usage scenarios, making network reconfiguration challenging. In order to enable functionalities that include node redundancy and the alteration of task flow attributes, an incremental scheduling method for network tasks is proposed. This method, through incremental scheduling, adjusts only the task flows that conflict with the newly added tasks, thereby reducing scheduling time and overhead.

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Publication Details

Published
2024-12-06
DOI
https://doi.org/10.1109/iaecst64597.2024.11118279
Citations
1
Primary Topic
Context-Aware Activity Recognition Systems
Type
article
Field-Weighted Citation Impact
0.25
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article

Fast Incremental Scheduling Method for In-Vehicle Time Sensitive Network Based on Preemption

Zhao Chen, Tengyao Wang, Fan Yang, Hao Wang
1 citations
Context-Aware Activity Recognition Systems
0.25
article

Fast Incremental Scheduling Method for In-Vehicle Time Sensitive Network Based on Preemption

Zhao Chen, Tengyao Wang, Fan Yang, Hao Wang
article en
1 citations

Abstract

To ensure high determinism and low latency requirements of tasks within vehicular networks, Time Sensitive Network (TSN) is being attempted to be integrated into the communication architecture of automotive electronic systems. However, the current static configuration approach of TSN is illequipped to handle complex and dynamic usage scenarios, making network reconfiguration challenging. In order to enable functionalities that include node redundancy and the alteration of task flow attributes, an incremental scheduling method for network tasks is proposed. This method, through incremental scheduling, adjusts only the task flows that conflict with the newly added tasks, thereby reducing scheduling time and overhead.

China Aerospace Science and Industry Corporation (China) (CN)
Affordable and clean energy
Openalex Percentile: Top 41%
Context-Aware Activity Recognition Systems
0.25
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Fast Incremental Scheduling Method for In-Vehicle Time Sensitive Network Based on Preemption — Zhao Chen, Tengyao Wang, et al. · (2024) | TGRS Research Map | TGRS