内容中心网络是一种全新的网络体系结构,通过内容名字进行寻址和路由.然而,现有经典蚁群优化算法收敛速度慢、不能充分利用节点缓存,提出一种新的基于邻居协作的多态蚁群路由算法.在CCN上添加一个含有三种状态蚂蚁的覆盖层,通过节点信息素的动态变化来实时控制各种状态蚂蚁的转发概率;用户请求路由过程中,针对"高流行度"和"低流行度"的内容执行差异化邻居缓存探索策略,在引入少量网络开销的前提下实现兴趣包的快速应答.仿真结果表明,所提出的算法在加快收敛速度、降低内容请求时延和减小阻塞率等方面有较好的表现.%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 algo-rithmin 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 strat-egy is performed depending on the content popularity. The simulation results show that the scheme can expedite conver-gence rate, decrease the request latency and reduce request failure rate.
展开▼
