Exploring Protocol Diversity in In-Vehicle Networks: Simulated Data Revelation

J. Vanajakshi*, A. Renuka, N. D. Adesh

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Modern vehicles heavily rely on various Electronic Control Units (ECUs) to ensure proper operation, safety and efficiency. In-Vehicle Network (IVN) facilitates communication and the flow of information between ECUs. Commonly used IVN protocols include Controller Area Network (CAN), Local Interconnect Network (LIN), FlexRay, Ethernet, Media Oriented System Transport (MOST), and CAN with flexible data transfer (CAN-FD). Understanding the effect of these protocols on data generation, transfer, and ECU behaviour is critical to improving communication and enhancing the safety and security features of automotive communication systems. This work focuses on using the Vector CANoe tool to simulate real-world scenarios and analyse the complexities of IVN protocols. The research aims to improve automotive communication systems by examining the performance of these protocols in virtual environments. The findings from this work offer valuable insights for enhancing in-vehicle communications through simulation and testing.

Original languageEnglish
Title of host publicationProceedings of IEEE International Conference on Vehicular Technology and Transportation Systems, ICVTTS 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350355512
DOIs
Publication statusPublished - 2024
Event2024 IEEE International Conference on Vehicular Technology and Transportation Systems, ICVTTS 2024 - Bangalore, India
Duration: 27-09-202428-09-2024

Publication series

NameProceedings of IEEE International Conference on Vehicular Technology and Transportation Systems, ICVTTS 2024

Conference

Conference2024 IEEE International Conference on Vehicular Technology and Transportation Systems, ICVTTS 2024
Country/TerritoryIndia
CityBangalore
Period27-09-2428-09-24

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology
  • Automotive Engineering
  • Safety, Risk, Reliability and Quality
  • Control and Optimization
  • Transportation

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