An efficient in-network caching decision algorithm for Internet of things

Recently, content-centric networking (CCN) has become one of the important technologies for enabling the future networks. Along with its recognized potentialities as a content retrieval and dissemination solution, CCN has been also recently considered as a promising architecture for the Internet of things (IoT), because of 2 main features such as named-based routing and in-network caching. However, IoT is characterized by challenging features: small storage capacity of resource-constrained devices due to cost and limitation of energy and especially transient data that impose stringent requirements on the information freshness. As a consequence, the intrinsic caching mechanisms existing in CCN approach do not well suit IoT domains; hence, providing a specific caching policy at intermediate nodes is a very challenging task. This paper proposes an effective multiattribute in-network caching decision algorithm that performs a caching strategy in CCN-IoT network by considering a set of crucial attributes including the content store size, hop count, particularly key temporal properties like data freshness, and the node energy level. Simulation results proved that our proposed approach outperforms 2 cache management schemes (probabilistic least recently used and AlwaysCache-first in first out in terms of improving total hit rate, reducing data retrieval delay, and enhancing content reusability in IoT environment).