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Design Methodology of Automotive Time-Sensitive Network System Based on OMNeT++ Simulation System
Advances in automotive technology require networks to support a variety of communication requirements, such as reliability, real-time performance, low jitter, and strict delay limits. Time-Sensitive Network (TSN) is a keyframe transmission delay-guaranteed solution based on the IEEE 802 architecture...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9229697/ https://www.ncbi.nlm.nih.gov/pubmed/35746369 http://dx.doi.org/10.3390/s22124580 |
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author | Luo, Feng Wang, Bowen Yang, Zhenyu Zhang, Ping Ma, Yifei Fang, Zihao Wu, Mingzhi Sun, Zhipeng |
author_facet | Luo, Feng Wang, Bowen Yang, Zhenyu Zhang, Ping Ma, Yifei Fang, Zihao Wu, Mingzhi Sun, Zhipeng |
author_sort | Luo, Feng |
collection | PubMed |
description | Advances in automotive technology require networks to support a variety of communication requirements, such as reliability, real-time performance, low jitter, and strict delay limits. Time-Sensitive Network (TSN) is a keyframe transmission delay-guaranteed solution based on the IEEE 802 architecture of the automotive Ethernet. However, most of the existing studies on automotive TSN performance are based on a single mechanism, lacking a complete and systematic research tool. At the same time, the design method should be considered from a global perspective when designing an automotive TSN system, rather than only considering a single mechanism that TSN applies to. This paper discusses the correspondence between traffic types and automotive scenarios and proposes a methodology to target the delay constraint of traffic types as the design goal of automotive TSN networks. To study the performance of automotive TSN under different mechanisms such as time-aware shaper (TAS), credit-based shaper (CBS), cyclic queuing and forwarding (CQF), etc., this paper also develops a systematic automotive TSN simulation system based on OMNeT++. The simulation system plays a crucial role in the whole methodology, including all applicable TSN standards for the automotive field. Lastly, a complex automotive scenario based on zonal architecture provided by a major motor company in Shanghai is analyzed in the simulated system; verifying TSN can guarantee real-time performance and reliability of the in-vehicle network. |
format | Online Article Text |
id | pubmed-9229697 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-92296972022-06-25 Design Methodology of Automotive Time-Sensitive Network System Based on OMNeT++ Simulation System Luo, Feng Wang, Bowen Yang, Zhenyu Zhang, Ping Ma, Yifei Fang, Zihao Wu, Mingzhi Sun, Zhipeng Sensors (Basel) Article Advances in automotive technology require networks to support a variety of communication requirements, such as reliability, real-time performance, low jitter, and strict delay limits. Time-Sensitive Network (TSN) is a keyframe transmission delay-guaranteed solution based on the IEEE 802 architecture of the automotive Ethernet. However, most of the existing studies on automotive TSN performance are based on a single mechanism, lacking a complete and systematic research tool. At the same time, the design method should be considered from a global perspective when designing an automotive TSN system, rather than only considering a single mechanism that TSN applies to. This paper discusses the correspondence between traffic types and automotive scenarios and proposes a methodology to target the delay constraint of traffic types as the design goal of automotive TSN networks. To study the performance of automotive TSN under different mechanisms such as time-aware shaper (TAS), credit-based shaper (CBS), cyclic queuing and forwarding (CQF), etc., this paper also develops a systematic automotive TSN simulation system based on OMNeT++. The simulation system plays a crucial role in the whole methodology, including all applicable TSN standards for the automotive field. Lastly, a complex automotive scenario based on zonal architecture provided by a major motor company in Shanghai is analyzed in the simulated system; verifying TSN can guarantee real-time performance and reliability of the in-vehicle network. MDPI 2022-06-17 /pmc/articles/PMC9229697/ /pubmed/35746369 http://dx.doi.org/10.3390/s22124580 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Luo, Feng Wang, Bowen Yang, Zhenyu Zhang, Ping Ma, Yifei Fang, Zihao Wu, Mingzhi Sun, Zhipeng Design Methodology of Automotive Time-Sensitive Network System Based on OMNeT++ Simulation System |
title | Design Methodology of Automotive Time-Sensitive Network System Based on OMNeT++ Simulation System |
title_full | Design Methodology of Automotive Time-Sensitive Network System Based on OMNeT++ Simulation System |
title_fullStr | Design Methodology of Automotive Time-Sensitive Network System Based on OMNeT++ Simulation System |
title_full_unstemmed | Design Methodology of Automotive Time-Sensitive Network System Based on OMNeT++ Simulation System |
title_short | Design Methodology of Automotive Time-Sensitive Network System Based on OMNeT++ Simulation System |
title_sort | design methodology of automotive time-sensitive network system based on omnet++ simulation system |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9229697/ https://www.ncbi.nlm.nih.gov/pubmed/35746369 http://dx.doi.org/10.3390/s22124580 |
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