关键词: 内容中心网络, 多态蚁群, 邻居协作, 流行度

Abstract: Content-Centric Networking（CCN） is a novel network architecture for content distribution with name-based addressing and routing. However, the existing classical ant colony optimization algorithms are not quickly in convergence speed and?cannot make full use of the node caches. So a new neighbor collaborative based polymorphic ant colony algorithmin CCN is proposed. In the scheme, a layer which contains three states of ants is added above the CCN, and controls the forwarding probability of various ants through the dynamic changes of pheromone. When a user’s retrieve is requested, in order to realize quick response and bring small amount of network overhead, different neighbor cache exploration strategy is performed depending on the content popularity. The simulation results show that the scheme can expedite convergence rate, decrease the request latency and reduce request failure rate.

Key words: Content-Centric Networking（CCN）, polymorphic ant colony, neighbor collaborative, popularity