Content Storage Management and Precaching Scheme in Content-Centric-Network-Based Internet of Vehicles

The emergence of smart cars has led to a significant increase in mobile data traffic on the backhaul links as a vast amount of contents is generated and consumed in the Internet of Vehicles (IoV). To cope with this situation, the precaching research of content-centric networks (CCNs) has been applied as a promising solution for reducing traffic consumption. However, most precaching schemes in CCN-IoV only focus on delay-sensitive content (DSC) and do not have proper content storage management (CSM), limiting their ability to minimize delays. To address these issues, we thus propose a novel CSM and precaching (CSMP) scheme consisting of three methods. To prevent the erases of precached or popular content, we have designed a CSM method based on our caching priority algorithm. Additionally, we have designed a DSC precaching method to improve mobility prediction and reduce delays using the recalculation time based on the Gaussian distribution with skewness. Finally, we have designed a delay-tolerant content (DTC) precaching method to minimize backhaul link traffic consumption by using an integer linear programming approach. The proposed CSMP scheme improved the evaluation value considering the success ratio and the backhaul link traffic by 23.21% compared with the existing schemes in our NS3-based simulations.