Family-Aware Pricing Strategy for Accelerating Video Dissemination over Information-Centric Vehicular Networks

Abstract

The recent fast development of wireless communications and smart devices has opened the avenue to supporting high quality video streaming services in vehicular networks. This growing trend towards enhanced video services and the inefficient content distribution of conventional IP networks have motivated the researchers to propose new Internet architectures that are more efficient for content distribution in general and in vehicular networks in particular. Information-centric networking (ICN) shifts the network paradigm from host centric to content centric, providing effective content distribution by named-based routing and in-network caching, which becomes a promising solution for sharing video streaming among vehicles. In this paper, we present a novel Family-Aware Pricing Strategy (FAPS) to accelerate video streaming dissemination over Information-Centric Vehicular Networks (ICVNs). We first classify the mobile users into multiple families by investigating user similar behaviors. Based on the family, an efficient video sharing scheme is proposed to support near end video fetching. In addition, a pricing-based video caching policy is also proposed to accurately optimize caching distributions. Simulation results show how our proposed strategy achieves better performance than other state-of-art solutions in terms of caching hit ratio, searching delay, freeze times and control overhead.