Modular and Open Platform for Future Automotive Computing Environment

David, Raphaël; Hamelin, Etienne; Dubrulle, Paul; Li, Shuai; Dore, Philippe; Olivereau, Alexis; Ojail, Maroun; Carbon, Alexandre; Garff, Laurent Le

doi:10.1002/9781119818410.ch5

Cited by 2 publications

(1 citation statement)

References 14 publications

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“…The transmission, exchange and sharing of data make the in-vehicle network (IVN) system face serious challenges and bottlenecks in its development. The Renault-Nissan-Mitsubishi alliance developed a modular and real-time computing platform to cope with the technical challenges brought by future interconnected vehicles [7]. Kim et al [19] designed an access gateway to realize data flow transmission between in-vehicle and out-vehicle networks.…”

Section: Introductionmentioning

confidence: 99%

Optimized QoS Routing in Software-Defined In-Vehicle Networks

Zhai,

Lv,

2024

INT J COMPUT COMMUN, Int. J. Comput. Commun. Control

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To address the problems of low network centralized management, weak interaction, limited hardware scalability, compatibility issues and challenges in expansion in the static deployment of traditional in-vehicle networks (IVNs), a new IVN architecture is designed. At the same time, to better meet the IVN Quality of Service (QoS) requirements and improve the real-time guarantee of data transmission, the QoS routing optimization mechanism under the new architecture is established. First, a new IVN architecture including a forwarding plane, control plane and application plane is designed by introducing software defined network (SDN) technology and combining it with the IVN itself. Second, the end-to-end delay optimization model of IVN is established by introducing network calculus theory, defining system parameters, creating a network model, calculating latency, considering queuing and congestion. the traditional routing algorithm is improved, and the DBROA algorithm has been proposed, which enhances the performance of QoS routing by introducing features such as distributed routing decisions, beacon mechanisms, optimization algorithms, and adaptability. This improvement allows it to better meet the QoS requirements of various applications and services, thereby enhancing existing QoS routing algorithms. Finally, an IVN routing optimization system is built and implemented, and the performance of different algorithms is compared and analyzed. The experimental results show that compared with the traditional Dijkstra and ECMP algorithms, the DBROA algorithm can effectively reduce the data forwarding delay and packet loss rate, improve the overall performance of IVN, and provide better QoS guarantees for IVN real-time data transmission.

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Section: Introductionmentioning

confidence: 99%