An In-Network Caching Scheme Based on Energy Efficiency for Content-Centric Networks

Content-centric networking (CCN) has emerged as a promising architecture for future Internet due to its in-network caching capability and the receiver-driven content retrieval paradigm. Recently, the growing energy consumption driven by explosive increase of network traffic has become a key issue in CCN and caused widespread academic concern. In this paper, we construct a model to analyze the energy consumption of content distribution in CCN, and propose an energy efficiency based in-network caching scheme. In this scheme, a judging condition is designed to reduce the total energy consumption of content dissemination, and then in combination with content popularity and node importance, a cache placement strategy is proposed to optimize the selection of caching nodes. Furthermore, a neighbor cooperation-based cache replacement strategy is also proposed, which uses the cache resource of neighbor nodes to increase the chances of content being cached and improve the quality of caching service and resource utilization. Simulation results demonstrate that our scheme can outperform the existing schemes in terms of the high cache hit rate, the low average response hops, and the low whole energy consumption.