Vehicle-Named Data Network Case Study in Traffic Management System

Rapid technological advancements, especially in telecommunications, have increased network demands. According to Cisco's annual report, the global internet user population is expected to grow by 66% by 2023, reflecting the surge of technology in-vehicle networks. In this context, Named Data Networking (NDN) is emerging as a potential solution to enhance the efficiency of data movement in vehicle environments through the Vehicular-NDN (V-NDN) concept. NDN is a content-focused network architecture and is considered the architecture of the future owing to its routing scalability, forwarding speed, network security, and content protection and privacy. Within this paradigm, data requests are content based, supporting data acquisition efficiency in vehicle environments. The V-NDN network is anticipated to realize the future transportation system, enabling vehicles to communicate with each other (V2V) and with infrastructure (V2I). NDNs can potentially reduce delays in data retrieval by allowing consumers to access or share data through communication processes. In this paper, a simulation of data movement was conducted using moving nodes and three forwarding strategies. The simulation involved two schemes: changes in test time and variations in the amount of interest. Overall, multicast VANET exhibited the best performance compared to the other two forwarding strategies. ‘Best Route’ demonstrated superior performance, outperforming ‘Localhop’.