Simulating TSN traffic scheduling and shaping for future automotive Ethernet

Zhou, Z.; Lee, Juho; Berger, Michael; Park, Sungkwon; Yan, Ying

doi:10.23919/jcn.2021.000001

Cited by 45 publications

(15 citation statements)

References 22 publications

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“…Z. Zhou et al analyzed multiple traffic scheduling and shaping mechanisms in automotive Ethernet. In addition, the authors introduced a time-sensitive networking (TSN)-based test model and analyzed the latency performance [20]. A study conducted in [21] provides an overview of the latency characteristics of IVNs and analysis methods.…”

Section: B Ivn Latency Analysismentioning

confidence: 99%

In-vehicle network latency analysis for a lane keeping assistance system

Choi,

Song,

Choi

et al. 2024

J. Commun. Netw.

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Section: B Ivn Latency Analysismentioning

confidence: 99%

In-vehicle network latency analysis for a lane keeping assistance system

Choi,

Song,

Choi

et al. 2024

J. Commun. Netw.

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“…Time synchronization is crucial for the normal operation of the TAS protocol. All devices participating in TAS must synchronize their clocks to ensure that each device is scheduled and shaped under the same time base [15]. The TAS protocol uses a time triggering method to manage data transmission.…”

Section: Time-aware Shaping Protocolmentioning

confidence: 99%

Study of Fixed Point Message Scheduling Algorithm for In-Vehicle Ethernet

Chen,

Zuo,

et al. 2024

Electronics

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With the rapid development of advanced driver assistance systems (ADASs) and autonomous driving technology, in-vehicle networks are facing huge challenges in real-time operation and data loss. Traditional vehicle bus network systems such as LIN, CAN, and FlexRay are insufficient to meet the real-time requirements of intelligent connected vehicles. In-vehicle Ethernet meets the requirements of high reliability, low electromagnetic radiation, low power consumption, bandwidth allocation, low latency, and real-time synchronization of intelligent connected vehicles. In-vehicle Ethernet has become one of the trends in the next generation of in-vehicle network architecture. This research focuses on the delay problem existing in the real-time data transmission process of in-vehicle Ethernet, and innovatively proposes a fixed point message scheduling algorithm (FPMS) based on time-sensitive network (TSN) technology. By building an experimental platform based on the CANoe simulation tool, the high-efficiency message transmission performance of the fixed point message scheduling algorithm was verified. Experimental results show that the fixed point message scheduling algorithm proposed in this study improves message transmission efficiency by 66%, laying a solid foundation for improving the real-time and reliability performance of in-vehicle Ethernet.

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“…However, the security policy makes it difficult to obtain this detailed information. We refer to IVN structural dimensions data provided by OEM and [ 16 , 17 , 18 , 19 , 20 , 21 , 22 ] to design DIA and ZIA proposed in this section. The wiring harnesses have different numbers of sockets, connectors, and wires, depending on their function.…”

Section: Design Of Ivn Architectures For Autonomous Vehiclesmentioning

confidence: 99%

Performance Evaluation of Zone-Based In-Vehicle Network Architecture for Autonomous Vehicles

Park

2023

Sensors

Self Cite

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In recent years, various functions such as advanced driver assistance systems (ADAS) and infotainment systems are being mounted in vehicles for safety and convenience to drivers. Among the various functions, autonomous driving-related technologies are being added to all vehicles, from low options to high options. For autonomous driving, hundreds of new electronic control units (ECUs) including various advanced sensors would be needed. Adding more ECUs would enhance safety and convenience for the driver. On the other hand, wiring between these ECUs would be more complex and heavier. The wiring harness is essential for communication and power supply. Currently, the in-vehicle network (IVN) uses the domain-based IVN architecture (DIA) that separates ECUs into domains based on their functions. Recently, in order to minimize the complexity of wiring harness and IVN, zone-based IVN architecture (ZIA) that groups ECUs according to their physical locations is attracting attention. In this paper, we propose a new DIA and ZIA for autonomous driving in the context of time-sensitive networking (TSN). These two new IVN architectures are simulated using the OMNeT++ network simulator. In the simulation process, a mid-size vehicle is assumed. It is shown in this paper that ZIA not only reduces wiring harnesses in both lengths and weights by approximately 24.6% compared to the DIAs, but also reduces data transmission delay.

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Simulating TSN traffic scheduling and shaping for future automotive Ethernet

Cited by 45 publications

References 22 publications

In-vehicle network latency analysis for a lane keeping assistance system

In-vehicle network latency analysis for a lane keeping assistance system

Study of Fixed Point Message Scheduling Algorithm for In-Vehicle Ethernet

Performance Evaluation of Zone-Based In-Vehicle Network Architecture for Autonomous Vehicles

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