PTF: Popularity-Topology-Freshness-based caching strategy for ICN-IoT networks

Abstract

In recent years, Information-Centric Networking (ICN) has been widely considered as an ideal architecture for the Internet of Things (IoT) due to the fact that ICN’s in-network caching can enhance the efficiency of content delivery and friendly to resource-constrained IoT devices. Meanwhile, on the whole, the major factors considered by current ICN-IoT caching schemes involve content popularity, network topology and content freshness. However, current methods mainly focus on some of them, lack of overall consideration. To this end, we propose a comprehensive solution by considering all three factors. Specifically, we define cache benefit by considering content popularity, network topology and content freshness simultaneously, and let routers cache contents in order of their cache benefits. We also devise a prediction method to make routers obtain cache benefits of new contents early. Extensive evaluations reveal that PTF can effectively improve the response latency, average hop reduction and cache hit ratio, compared with other representative strategies.