A Pre-caching Mechanism of Video Stream Based on Hidden Markov Model in Vehicular Content Centric Network

Abstract

Vehicular Content Centric Network (VCCN) enjoys advantages in effectiveness and convenience for content distribu- tion among vehicles, by adopting features of Content Centric Net- works into Vehicular Ad-Hoc Networks. However, the dynamic topology makes it difficult to establish stable connections. To get a better network performance and user experience, we exploit the user mobility to achieve efficient content distribution in VCCN. In this paper, we propose a mechanism for pre-caching chunks of large content objects such as videos among RSUs. First, we adopt Hidden Markov Model (HMM) to predict a user’ s moving trajectory. Based on the time gap from the current location to the predicted location of the mobile user, the corresponding RSU can pre-cache the required video chunks and provide them to the user as soon as he arrives at the predicted location. Simulation results show that our scheme is effective with higher cache hit, lower deliver latency, lower deliver overhead and lower average hops compared to other pre-caching schemes.