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认知网络路由技术
引用本文:李红艳,李建东,周丹.认知网络路由技术[J].中兴通讯技术,2010,16(1):50-52.
作者姓名:李红艳  李建东  周丹
作者单位:西安电子科技大学综合业务网理论及关键技术国家重点实验室,陕西,西安,710071
摘    要:认知网络具有自学习和推理能力,能够适应复杂和动态变化的网络环境,优化端到湍的性能,实现高效利用网络资源的目标。文章提出了一种认知网络的路由方案框架,包括环境感知模块、路由决策模块、路由重构模块和自学习模块。

关 键 词:认知网络  路由  自学习  基于策略的路由

Routing in Cognitive Network
LI Hongyan,LI Jiandong,ZHOU Dan.Routing in Cognitive Network[J].ZTE Communications,2010,16(1):50-52.
Authors:LI Hongyan  LI Jiandong  ZHOU Dan
Affiliation:(State Key Lab of Integrated Service Networks, Xidian University, Xi' an 710071, China)
Abstract:A cognitive network has capabilities of learning and reasoning. It can dynamically adapt to varying network conditions in order to optimize end-to-end performance and utilize network resources efficiently. However, there are challenges for routing algorithm in a cognitive network. In this paper, a routing scheme for cognitive networks is proposed which includes context information collection entity, routing decision making entity, routing reconfiguration entity, and reasoning and learning entity.
Keywords:cognitive network  routing  machine learning  policy based routing
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