@article{M0C251690,
title = "Proactive Caching Strategy Based on Optimal Content Distribution in Content Centric Vehicular Networks",
journal = "The Transactions of the Korea Information Processing Society",
year = "2020",
issn = "null",
doi = "10.3745/KTCCS.2020.9.6.131",
author = "Sungjin Park/Euisin Lee",
keywords = "VANETs, CCVN, RSU, Content Caching, Optimization",
abstract = "In vehicular communications environment, content pre-caching can reduce the delay time from the user to the content server. However, the problem of where and how much pre-caching is still not solved. In this paper, based on the movement probability of the vehicle, we propose a method for pre-caching by distributing the optimized amount of content to each base station candidate that the vehicle will move as follows. First, the movement probability of each vehicle was learned using Markov Model. And the amount of content to be distributed and pre-cached was optimized based on the wireless environment. In experiments based on NS-3, the proposed strategy maintained the least delay compared to the existing protocol, leading to the most traffic-saving results."
}