Cross-Validating Open Source In-Vehicle TSN Simulation Models With a COTS Hardware Testbed

Abstract

We tackle the challenges of accurately replicating modern automotive network architectures, particularly those reliant on automotive Ethernet and Time-Sensitive Networking (TSN), in simulation environments. We describe an open-source TSN simulation model tailored to match a real-world TSN testbed built using off-the-shelf hardware. We address key challenges such as hardware and software imperfections as well as varying data traffic patterns from automotive sensors. By incorporating real data traces from LIDAR and camera sensors, we improve simulation accuracy. Our findings underscore the importance of accounting for hardware and software nuances to ensure faithful simulation results, thus advancing the reliability of automotive network simulations.

Publication
15th IEEE Vehicular Networking Conference (VNC 2024)
Ion Turcanu
Ion Turcanu
Research and Technology Associate

My research interests include communications protocols for multi-technology vehicular networks, time-sensitive networking for in-vehicle communications, and next-generation cellular networks.