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基于蚁群优化的内容中心网络服务节点选取算法
引用本文:刘涛,程东年,田铭.基于蚁群优化的内容中心网络服务节点选取算法[J].信息工程大学学报,2013,14(6):755-762.
作者姓名:刘涛  程东年  田铭
作者单位:国家数字交换系统工程技术研究中心,河南 郑州 450002
基金项目:国家重点973计划资助项目(2012CB315901, 2013CB329104);国家863计划资助项目(2011AA01A101、2011AA01A103);国家科技支撑计划资助项目(2011BAH19B01,2012BAH02B03,2012BAH02B01)
摘    要: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,现有的CCN路由在多个服务节点存在时采用全转发策略,导致不必要的资源开销.如何选取最优的服务节点成为CCN路由的一个重要研究课题.蚁群优化是一种启发式算法,通过发送探测蚂蚁来寻找最优解.在对CCN服务节点选取问题分析的基础上,基于蚁群优化机制,提出了一种分布式的服务节点选取算法ADSS.仿真结果表明,ADSS能够显著地提高内容路由性能,减少CCN节点上缓存内容的动态性.

关 键 词:内容中心网络  服务节点选取  蚁群优化  内容路由  命名数据网络

Service Node Selecting Algorithm Based on Ant Colony Optimization in Content Centric Networking
LIU Tao,CHENG Dong nian,TIAN Ming.Service Node Selecting Algorithm Based on Ant Colony Optimization in Content Centric Networking[J].Journal of Information Engineering University,2013,14(6):755-762.
Authors:LIU Tao  CHENG Dong nian  TIAN Ming
Affiliation:National Digital Switching System Engineering Technological R&D Center, Zhengzhou 450002, China
Abstract:Content centric Networking (CCN) is a novel network architecture for content distribution with name based addressing and routing. However, existing CCN routing and forwarding schemes are not efficient in the presence of more than one service nodes. How to select the best service nodes has become an important research topic in CCN routing. Ant colony optimization is a heuristic algorithm to find the optimal solution by sending probing ants. By modeling the CCN service node selection problem, a distributed service node selection algorithm called ADSS is presented based on ant colony optimization. Simulation results show that ADSS significantly improves the performance of content routing and reduces cache evictions on CCN nodes.
Keywords:content centric networking  service node selection  ant colony optimization  content routing  named data networks
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