A Simulation Study of Connected Vehicle Systems Using Named Data Networking

Abstract

A Connected vehicle (CV) system is a crossing field of intelligent transportation systems (ITS) and the internet of things (IoT). The IP-based network protocol has been employed in CV systems. Recently, studies have been conducted to explore the adaptation of Named Data Networking (NDN) in certain CV applications, particularly in cloud computing-based applications and services, to enhance the QoS and lower the cost of network infrastructure. In this paper, we propose SimIVC-NDN, an federated simulation platform with the capability of performing a microscopic traffic simulation with both NDN and IP-based networking. Using SimIVC-NDN, we have conducted a quantitative simulation comparison for two CV systems powered by NDN and IP solutions, respectively, for image dissemination, a common cloud computing service. In the experiments we construct a CV system based on a calibrated traffic model of Whitemud Drive at Edmonton, Canada. The simulation results show that the NDN-based CV system lowers the packet delay by two orders of magnitude compared with the IP-based one, indicating that an NDN-based networking is a promising alternative to the conventional IP-based one for cloud computing applications of CV systems.