Caching Design in Green Content Centric Networking Based on Chemical Reaction Optimization

Content centric networking (CCN) is a new promising network architecture, which can save energy consumption and achieve the green communication due to less transport energy by effectively reducing the distances to content and eliminating duplicated transmissions. In CCN, one of the most important issues is how to cache the content chunks in different network nodes to optimize the network performance. Therefore, the problem of content caching in green CCN is studied in this paper to minimize the total network traffic. We first model the content caching problem as an integer linear programming problem. Then, using the recent advances in Chemical Reaction Optimization (CRO), we propose a CRO-based caching algorithm that can significantly decrease the total network traffic. CRO algorithm is a population-based metaheuristic algorithm, mimicking the process of chemical reactions, which has low computation complexity and is easy to be implemented in practical networks. Finally, extensive simulation results are presented to illustrate the effectiveness of the proposed scheme.