A Data Driven Cognitive Routing Protocol for Information-Centric Networking
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摘要: 随着网络技术的迅速发展和新型应用的不断涌现，网络中的数据急剧增长给基于TCP/IP的Internet带来严峻挑战.为了支持用户对海量数据的访问，信息中心网络(information-centric networking, ICN)成为未来互联网的研究热点之一.提出一种数据驱动的ICN认知路由协议.每个路由节点都被赋予感知、询问、学习、推理和反馈等认知行为；通过感知行为，节点获取本地拓扑、路由请求处理信息和流行内容等；通过询问行为，节点构建邻居缓存表等；通过学习行为，节点得到经验路径信息等；通过推理行为，分析节点间关系，构建朋友缓存表等；通过反馈行为，基于指引信息，作出路由决策等.仿真结果表明，提出的协议是可行和有效的，具有较好的性能.Abstract: With the rapid development of network technology and the boosting of new types of network applications, the amount of data in network is growing dramatically, which brings significant challenges to the Internet based on TCP/IP. In order to support the user access to the massive data, the information-centric networking (ICN) has been proposed and has become a hot research topic of the future Internet. In this paper, a data driven cognitive routing protocol in ICN is proposed. Each routing node has been endowed the following cognitive behaviors: perception, inquiry, learning, reasoning and feedback. It gets the information about its local topology, the information about its processed routing requests and the popular contents by perception. It builds the neighbor caching table by inquiry. It remembers the information about the experienced path by learning. It analyzes the relationship among nodes with the friend caching table built by reasoning. It makes routing decisions based on guidance by feedback. Simulation results have shown that the proposed protocol is feasible and effective with good performance.
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Keywords:
- information-centric networking (ICN) /
- routing protocol /
- cognitive /
- data driven /
- caching
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