Link congestion and lifetime based in-network caching scheme in Information Centric Networking

Ubiquitous in-network caching is one of the important aspects of the Information-Centric Networking (ICN), which has been a hot topic of ICN research. Many works have tried to propose better caching schemes to solve the drawbacks of the default en-route scheme, but most of them are insufficient to improve performance of entire network for just considering single layer optimization factor. Also considering that the network exists to serve its users, user-centric performance metrics, in particular the download delay, are equally important as the common metrics such as cache hit rate in performance evaluation. And approaches designed with congestion-sensitive download delay in mind can obtain better performance and user experience. In this paper, we propose and evaluate a novel Link Congestion and lifetime Based In-Networking Caching Schemes (LCLCS), which takes fully account of link congestion, Betweenness centrality and content popularity, aiming to observably optimize network delay and maintain acceptable cache rate. Through simulation, we can prove that network latency and hop reduction rate of our policy are significantly better than existing policies at least 51.5%, while the cache hit ratio is relatively improved by at least 19.1% under network congestion.