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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...

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Detalles Bibliográficos
Autores principales: Luo, Feng, Wang, Bowen, Yang, Zhenyu, Zhang, Ping, Ma, Yifei, Fang, Zihao, Wu, Mingzhi, Sun, Zhipeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
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.
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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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