Ant Colony Based Forwarding Method for Content-Centric Networking

Abstract

Content-Centric Networking has recently emerged as a clean slate approach to rethink Internet foundations, which changes from host-centric communication model to content-centric model. However, one of the major challenges is supporting intelligent forwarding of Interests over multiple paths while keeping scalability and mobility. To address this challenge, this paper proposed an domain-based intelligent forwarding method based on our previous work. We divided the network into multiple domains. We adopted the ISP-based aggregation to reduce the content naming space and used a domain-based Greedy Ant Colony Forwarding (GACF) algorithm to support intelligent forwarding of packets. There are two kinds of ants in GACF which take different policies in the Inter-domain Forwarding and the Intra-domain Forwarding. The GACF algorithm is a Quality of Service aware forwarding algorithm in the dynamic complex network. The results of the evaluation prove that our proposals improve the cost-efficiency and scalability for content-centric networking.