Prediction-Based Link Adaptive Forwarding Method in Vehicular Named Data Networking

Vehicular Named Data Networking (VNDN) is a communication architecture that applies the concepts of Named Data Networking (NDN) to Vehicular Ad-hoc Networks (VANETs). In VNDN, reliable data transmission under vehicular mobility conditions is critical for Quality of Service (QoS) support. To address the challenges of broadcast storms and unstable communication links in VNDN, this paper proposes a Prediction-based Link Adaptive Forwarding Method (PLAFM), which effectively mitigates reverse path disruptions while reducing Interest packet flooding. Experimental results demonstrate that PLAFM significantly improves communication efficiency and data delivery reliability.