Research on Enhancing C-V2X Communication via Danger-Aware Vehicular Networking
Lanre Sadeeq, Qasim Ajao
TL;DR
This work tackles congestion and latency in C-V2X by introducing a danger-aware MAC strategy that prioritizes transmissions from vehicles at higher collision risk, using inter-vehicle distance as the risk indicator. The method integrates a two-dimensional Markov-chain model of IEEE 802.11p DCF with a distance-based transmission duty, and evaluates it in a two-lane, 50-vehicle scenario with CAM forwarding. The results indicate significant improvements in packet delivery ratio, throughput, and latency, as well as reductions in channel occupancy and collisions, demonstrating potential for safer and more scalable ITS deployments. The approach offers practical value by reducing network contention in dense traffic and adapting to varying proximity-based hazard levels, with implications for real-world V2X safety enhancements.
Abstract
This paper presents a protocol that optimizes message dissemination in C-V2X technology, crucial for advancing intelligent transportation systems (ITS) aimed at enhancing road safety. As vehicle density and velocity rise, the volume of data requiring communication significantly increases. By considering the risk levels that vehicles encounter and using inter-vehicle proximity as a key indicator of potential hazards, the proposed protocol prioritizes communication, allowing vehicles facing higher risks to transmit their messages first. Our results show that this prioritization effectively reduces the number of concurrent transmissions, leading to improved performance metrics such as packet delivery ratio, throughput, latency, and lower probabilities of channel congestion and collision.