Problem
Research questions and friction points this paper is trying to address.
VEINS
VANET
C-ITS
signal propagation
simulation validation
Demystifying VEINS: A Reality Check Against Living Lab Experiments
🤖 AI Summary
This study addresses the lack of empirical validation of signal propagation models in the VEINS simulation framework for safety-critical cooperative intelligent transportation systems, which may lead to design biases. For the first time, the authors establish a quantitative benchmark comparing received signal strength indicator (RSSI), message reception counts, and signal attenuation between real-world road experiments conducted under the MASA project and VEINS simulations using default configurations. Systematic evaluation of simulation fidelity reveals that VEINS significantly overestimates RSSI values and fails to capture approximately 18% of messages actually received in field tests. These findings expose a systematic bias in VEINS’ default propagation model and provide critical empirical grounding for future parameter calibration and model refinement.
📝 Abstract
Safety applications in vehicle-to-everything communications and Cooperative Intelligent Transport Systems rely on reliable and timely message exchange, which in turn depends on accurate modeling of wireless signal propagation. Simulation frameworks such as VEINS are widely adopted to design and evaluate such systems before deployment; however, their realism strongly depends on the validity of the underlying channel and antenna models. This work presents an empirical validation of the VEINS simulator against real-world data collected from the MASA living laboratory. Using the default configuration, we compare Received Signal Strength Indicator (RSSI), number of messages, and attenuation of the signal. The results show that VEINS systematically overestimates the RSSI value, while losing approximately 18% of the total number of messages received compared to the MASA, revealing inconsistencies between simulation and reality. The contribution of this study is a direct comparison between simulated and real world data, establishing a quantitative basis for future calibration of VEINS parameters to improve the fidelity of VANET simulations in C-ITS safety research.
Innovation
Methods, ideas, or system contributions that make the work stand out.
VEINS validation
VANET simulation
real-world benchmarking
C-ITS safety
RSSI accuracy
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