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  5. FlexRay Static Segment Message Scheduling Based on Heterogeneous Scheduling Algorithm

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Article
English
2025

FlexRay Static Segment Message Scheduling Based on Heterogeneous Scheduling Algorithm

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English
2025
Symmetry
Vol 17 (5)
DOI: 10.3390/sym17050696

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Yi-hu Xu
Yi-hu Xu

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Shuqing Li
Yujing Wu
Yi-hu Xu
+2 more

Abstract

With the development of intelligent connected vehicles, higher demands are being placed on the capabilities of in-vehicle bus networks. Compared to traditional in-vehicle bus networks like Local Interconnect Network (LIN) and Controller Area Network (CAN), the FlexRay bus offers advantages such as high real-time performance and high transmission rates, making it the core technology of the new generation of in-vehicle bus networks. This study focuses on the phenomenon of bandwidth resource waste in the FlexRay bus and innovatively proposes the FlexRay Static Segment Heterogeneous Scheduling Algorithm (SHSA). The SHSA algorithm optimizes the message transmission performance of the FlexRay bus through heterogeneous allocation of communication channels and message scheduling methods. This study established a simulation experimental platform using the CANoe.FlexRay bus network simulation tool and conducted simulation experiments on the proposed algorithm. Experimental results show that the average bandwidth utilization of the SHSA algorithm is 72.5%, which is 20.91%, 51.14%, and 54% higher than that of the existing Heterogeneous Makespan-minimizing DAG Scheduler (HMDS), Message Packing Scheme, and Jitter-aware Message Scheduling-Simulated Annealing and Greedy Randomized Adaptive Search Procedure (JAMS-SG), respectively. This study provides technical support for message transmission in intelligent connected vehicles and enhances the communication efficiency of the in-vehicle FlexRay bus network.

How to cite this publication

Shuqing Li, Yujing Wu, Yi-hu Xu, Kaihang Zhang, Yinan Xu (2025). FlexRay Static Segment Message Scheduling Based on Heterogeneous Scheduling Algorithm. Symmetry, 17(5), pp. 696-696, DOI: 10.3390/sym17050696.

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Publication Details

Type

Article

Year

2025

Authors

5

Datasets

0

Total Files

0

Language

English

Journal

Symmetry

DOI

10.3390/sym17050696

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