Open access
2026
Deployment-Aware Multi-Objective Optimization of Machine Learning Models for Predictive Congestion Control in Multi-Hop Vehicular Networks
Results across heterogeneous urban scenarios show that the proposed framework improves vehicular communication performance in terms of packet delivery reliability and communication delay, while preserving competitive machine learning performance under deployment-oriented constraints.
Juan Pablo Astudillo León, Leticia Lemus Cárdenas, Luis J. de la Cruz Llopis et al.
· IEEE Access · 0 citations