A Visual-Identification based Forwarding Strategy with Road Junction in Vehicular Named Data Networking

Named Data Networking (NDN) has emerged as a promising technique for addressing the current challenges associated with high dynamic mobility and intermittent connectivity prevalent in Vehicular Ad Hoc Networks (VANETs) [1]. However, the application of NDN in typical urban scenarios, where network segments are intricately interconnected, complexity to network communication and traffic congestion in junction areas. In our previous research, we proposed a concept of leveraging the cameras equipped on vehicles to devise a visual identification-based forwarding strategy that facilitates traffic information forecasting services in straight road scenarios [2]. Although visual information-based approaches offer advantages in terms of accuracy and performance, they require certain refinements. This study presents an enhanced method that involves the deployment of assistance nodes at junctions to support routing. Furthermore, this study introduces a novel naming scheme designed to efficiently obtain traffic information through prefixes in a lightweight manner. The experimental results demonstrate that the proposed strategy exhibits better performance, making it particularly well-suited for specific VANETs services when compared to prior approaches.