Assessments of Real-Time Communications over TSN Automotive Networks

Bello, Lucia Lo; Patti, Gaetano; Vasta, Giancarlo

doi:10.3390/electronics10050556

Cited by 20 publications

(11 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…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

View full text Add to dashboard Cite

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.

show abstract

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

View full text Add to dashboard Cite

show abstract

“…However, such a framework cannot cope with ED traffic, and it also entails complex and time-consuming schedule calculations. As far as providing support to real-time ED traffic is concerned, the work in [23] proposes a traffic management scheme, called EDSched, which introduces explicit support for ED real-time traffic. EDSched guarantees temporal isolation to time-driven flows using the transmission gates of the IEEE 802.1Q-2018 standard and introduces a novel traffic class, the ED class, to reduce the delay of ED flows.…”

Section: Related Workmentioning

confidence: 99%

Deadline-Aware Online Scheduling of TSN Flows for Automotive Applications

Patti

Bello

Leonardi

2023

IEEE Trans. Ind. Inf.

Self Cite

View full text Add to dashboard Cite

The Time-Sensitive Networking (TSN) set of standards allows to support on the same channel the different kinds of traffic flows that are typically found in automotive scenarios. This article proposes the introduction of online Earliest Deadline First-based scheduling in TSN to provide support for event-driven real-time traffic. The proposed approach, called Deadline-TSN, is an online approach, and therefore, unlike other approaches in the literature, it does not require complex offline schedule calculations. Moreover, Deadline-TSN is able to uniformly deal with real-time periodic and event-driven traffic flows. This article presents Deadline-TSN and provides both worstcase response time analysis and simulative assessments in realistic automotive scenarios.

show abstract

“…In [58], authors evaluate a specific traffic management scheme that enables the integration of event-driven traffic for IVNs. There are already several solutions available in the market incorporating some of the TSN standards, and with a roadmap to be able to provide most of them.…”

Section: • Fr0 Generic Network Processing Managementmentioning

confidence: 99%

The Future Roadmap of In-Vehicle Network Processing: A HW-Centric (R-)evolution

2022

View full text Add to dashboard Cite

The automotive industry is undergoing a deep revolution. With the race towards autonomous driving, the amount of technologies, sensors and actuators that need to be integrated in the vehicle increases exponentially. This imposes new great challenges in the vehicle electric/electronic (E/E) architecture and, especially, in the In-Vehicle Network (IVN). In this work, we analyze the evolution of IVNs, and focus on the main network processing platform integrated in them: the Gateway (GW). We derive the requirements of Network Processing Platforms that need to be fulfilled by future GW controllers focusing on two perspectives: functional requirements and structural requirements. Functional requirements refer to the functionalities that need to be delivered by these network processing platforms. Structural requirements refer to design aspects which ensure the feasibility, usability and future evolution of the design. By focusing on the Network Processing architecture, we review the available options in the state of the art, both in industry and academia. We evaluate the strengths and weaknesses of each architecture in terms of the coverage provided for the functional and structural requirements. In our analysis, we detect a gap in this area: there is currently no architecture fulfilling all the requirements of future automotive GW controllers. In light of the available network processing architectures and the current technology landscape, we identify Hardware (HW) accelerators and custom processor design as a key differentiation factor which boosts the devices performance. From our perspective, this points to a need -and a research opportunity -to explore network processing architectures with a strong HW focus, unleashing the potential of next-generation network processors and supporting the demanding requirements of future autonomous and connected vehicles.

show abstract

Assessments of Real-Time Communications over TSN Automotive Networks

Cited by 20 publications

References 15 publications

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

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

Deadline-Aware Online Scheduling of TSN Flows for Automotive Applications

The Future Roadmap of In-Vehicle Network Processing: A HW-Centric (R-)evolution

Contact Info

Product

Resources

About