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Design Methodology of Automotive Time-Sensitive Network System Based on OMNeT++ Simulation System
| Content Provider | MDPI |
|---|---|
| Author | Luo, Feng Wang, Bowen Yang, Zhenyu Zhang, Ping Ma, Yifei Fang, Zihao Wu, Mingzhi Sun, Zhipeng |
| Copyright Year | 2022 |
| 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. |
| Starting Page | 4580 |
| e-ISSN | 14248220 |
| DOI | 10.3390/s22124580 |
| Journal | Sensors |
| Issue Number | 12 |
| Volume Number | 22 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2022-06-17 |
| Access Restriction | Open |
| Subject Keyword | Sensors Industrial Engineering Time-sensitive Network Automotive Ethernet Communications Simulation Traffic Scheduling Omnet++ |
| Content Type | Text |
| Resource Type | Article |
