Proactive Caching of Mobility Prediction Prefetch and Non-Prefetch in ICN

Abstract

Efficiently storing content on the network is a very important thing to do at this time so that consumers can access easily the content on the network. One way to do this is to store content on the available routers, which is storing content on the router that has a high probability, it's called proactive caching. This can reduce latency because it has stored content on the selected router. Proactive caching cellular networks depend on predicting user mobility to the next location and router retrieving content files. We present a proactive caching strategy that utilizes the flexibility of data caching Information-Centric Networking (ICN) anywhere in the network. The main contribution of this paper is to make a model using the Markov model to determine the best router to be prefetched. The results of this research showed that from several times the average experiment that had been prefetched, the total cache hits generated had a percentage of 76.4% compared to those not prefetched by 34%. This shows a 42.4% increase in selected router prefetched, a very significant amount for the effectiveness of accessing content on the network.