An optimized design of CAN FD for automotive cyber-physical systems

被引:12
|
作者
Xie Yong [1 ,2 ]
Zeng Gang [3 ]
Kurachi, Ryo [4 ]
Xie Guoqi [5 ]
Dou Yong [2 ]
Zhou Zhili [6 ]
机构
[1] Xiamen Univ Technol, Coll Comp & Informat Engn, Xiamen, Peoples R China
[2] Natl Univ Defens Technol, Natl Lab Parallel & Distributed Proc, Changsha, Hunan, Peoples R China
[3] Nagoya Univ, Grad Sch Informat Sci, Nagoya, Aichi, Japan
[4] Nagoya Univ, Grad Sch Informat Sci, Nagoya, Aichi, Japan
[5] Hunan Univ, Coll Comp Sci & Elect Engn, Changsha, Hunan, Peoples R China
[6] Nanjing Univ Informat Sci & Technol, Sch Comp & Software, Nanjing, Jiangsu, Peoples R China
基金
中国国家自然科学基金;
关键词
Automotive cyber-physical systems; Bandwidth utilization; CAN FD; Design method; Signal clustering; Schedulability; CONTROLLER-AREA-NETWORK; PRIORITY ASSIGNMENT;
D O I
10.1016/j.sysarc.2017.10.008
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
CAN with flexible data rate (CAN FD) is considered the next generation in-vehicle network standard for automotive cyber-physical systems. CAN FD supports a data phase bit-rate of up to 10 Mbps and message payload of up to 64 bytes. However, the substantial differences regarding the allowed message payloads and the heterogeneity of the signal periods indicate the need for a systematic design method to fully utilize its large transmission bandwidth. We propose an optimized design method for CAN FD to minimize bandwidth utilization while meeting the signal timing constraint. First, two slack evaluation metrics are defined for the quantitative analysis of the potential packing choices. Based on these metrics, we propose a clustering-based signal packing algorithm, and the schedulability of the signals and the packed messages are both verified. The proposed method is compared with other design methods proposed for both CAN and CAN FD. The experimental results demonstrated that our method is the most bandwidth efficient and can meet the timing constraint simultaneously.
引用
收藏
页码:101 / 111
页数:11
相关论文
共 50 条
  • [1] Optimizing Extensibility of CAN FD for Automotive Cyber-Physical Systems
    Xie, Yong
    Zeng, Gang
    Kurachi, Ryo
    Xiao, Fu
    Takada, Hiroaki
    [J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 22 (12) : 7875 - 7886
  • [2] Security/Timing-Aware Design Space Exploration of CAN FD for Automotive Cyber-Physical Systems
    Xie, Yong
    Zeng, Gang
    Kurachi, Ryo
    Takada, Hiroaki
    Xie, Guoqi
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2019, 15 (02) : 1094 - 1104
  • [3] Timing Analysis of CAN FD for Security-Aware Automotive Cyber-Physical Systems
    Xie, Yong
    Zeng, Gang
    Kurachi, Ryo
    Xiao, Fu
    Takada, Hiroaki
    Hu, Shiyan
    [J]. IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING, 2023, 20 (04) : 3064 - 3078
  • [4] Challenges in Automotive Cyber-physical Systems Design
    Goswami, Dip
    Schneider, Reinhard
    Masrur, Alejandro
    Lukasiewycz, Martin
    Chakraborty, Samarjit
    Voit, Harald
    Annaswamy, Anuradha
    [J]. 2012 INTERNATIONAL CONFERENCE ON EMBEDDED COMPUTER SYSTEMS (SAMOS): ARCHITECTURES, MODELING AND SIMULATION, 2012, : 346 - 354
  • [5] Security-Aware CAN-FD Message Packing in Intelligent Automotive Cyber-Physical Systems
    Ma, Wenhong
    Liu, Yan
    Xie, Guoqi
    Li, Renfa
    Yang, Laurence T.
    [J]. IEEE INTERNET OF THINGS JOURNAL, 2022, 9 (22) : 22343 - 22356
  • [6] Security-Related Hardware Cost Optimization for CAN FD-Based Automotive Cyber-Physical Systems
    Xie, Yong
    Guo, Yili
    Yang, Sheng
    Zhou, Jian
    Chen, Xiaobai
    [J]. SENSORS, 2021, 21 (20)
  • [7] Robust Perception Architecture Design for Automotive Cyber-Physical Systems
    Dey, Joydeep
    Pasricha, Sudeep
    [J]. 2022 IEEE COMPUTER SOCIETY ANNUAL SYMPOSIUM ON VLSI (ISVLSI 2022), 2022, : 241 - 246
  • [8] A CAN Bus Security Testbed Framework for Automotive Cyber-Physical Systems
    Shi, Dongxian
    Kou, Liang
    Huo, Chaobin
    Wu, Ting
    [J]. WIRELESS COMMUNICATIONS & MOBILE COMPUTING, 2022, 2022
  • [9] Automotive Cyber-Physical Systems: A Tutorial Introduction
    Chakraborty, Samarjit
    Al Faruque, Mohammad Abdullah
    Chang, Wanli
    Goswami, Dip
    Wolf, Marilyn
    Zhu, Qi
    [J]. IEEE DESIGN & TEST, 2016, 33 (04) : 92 - 108
  • [10] Cyber-Attack Detection for Automotive Cyber-Physical Systems
    Lee, Suyun
    Jung, Sunjae
    Baek, Youngmi
    [J]. BUILDSYS'21: PROCEEDINGS OF THE 2021 ACM INTERNATIONAL CONFERENCE ON SYSTEMS FOR ENERGY-EFFICIENT BUILT ENVIRONMENTS, 2021, : 214 - 215