Improved CCN routing based on the combination of genetic algorithm and ant colony optimization

Content-Centric Networking (CCN) proposes a shift from the traditional host-centric communication to a content-centric paradigm, which focuses on the delivery of content to target users. Routing mechanism is a major issue of CCN and has a pivotal role on CCN system performance, where content is addressed by their names instead of their host locations. However, traditional CCN routing is based on broadcast/multicast, which lacks control of the forwarding interfaces and may bring redundant retrieval. In this paper, we present a combination of Genetic algorithm and Ant Colony Optimization (GAAC) for CCN routing optimization, based on the distributed caching mechanism of SoCCeR strategy. Our simulation results show that GAAC can accelerate convergence, reduce delay and achieve better performance.