基于业务感知和策略选择的认知路由算法

顾成杰; 张顺颐; 孙雁飞

doi:1000-436X(2011)11-0168-08

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基于业务感知和策略选择的认知路由算法

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- 基于业务感知和策略选择的认知路由算法
- Cognitive network routing algorithm based on service awareness and policy choice
- 通信学报 2011年32卷第11期页码：168-175
- 作者机构：
- 作者简介：
  
  [ "顾成杰（1985-），男，安徽合肥人，南京邮电大学博士生，主要研究方向为通信网与IP技术、认知网络。" ]
  [ "张顺颐（1944-），男，江苏南京人，南京邮电大学教授、博士生导师，主要研究方向为计算机网络通信、通信网与IP技术。" ]
  [ "孙雁飞（1976-），男，山东莱芜人，博士，南京邮电大学副教授、硕士生导师，主要研究方向为网络性能监测与优化、QoS控制与管理、多媒体网络通信。" ]
- 基金信息：
  
  国家高技术研究发展计划(“863”计划)基金资助项目;The National High Technology Research and Development Program of China(863 Program)(2009AA01Z202);国家高技术研究发展计划(“863”计划)基金资助项目;The National High Technology Research and Development Program of China(863 Program)(2009AA01Z212);国家自然科学基金资助项目;The National Natural Science Foundation of China(61003237);江苏省重大科技支撑计划基金资助项目;The Important Science and Technology Support Project of Jiangsu Province(BE2008134);江苏省高技术研究计划基金资助项目;The High Technology Research Plan of Jiangsu Province(BG2007045)
- DOI：1000-436X(2011)11-0168-08
  中图分类号： TP393
- 网络出版日期：2011-11，
  
  纸质出版日期：2011-11-25
- 稿件说明：
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顾成杰, 张顺颐, 孙雁飞. 基于业务感知和策略选择的认知路由算法[J]. 通信学报, 2011,32(11):168-175.

Cheng-jie GU, Shun-yi ZHANG, Yan-fei SUN. Cognitive network routing algorithm based on service awareness and policy choice[J]. Journal on communications, 2011, 32(11): 168-175.
顾成杰, 张顺颐, 孙雁飞. 基于业务感知和策略选择的认知路由算法[J]. 通信学报, 2011,32(11):168-175. DOI： 1000-436X(2011)11-0168-08.

Cheng-jie GU, Shun-yi ZHANG, Yan-fei SUN. Cognitive network routing algorithm based on service awareness and policy choice[J]. Journal on communications, 2011, 32(11): 168-175. DOI： 1000-436X(2011)11-0168-08.

摘要

提出了一种基于业务感知和策略选择的认知路由(cognitive network routing) 算法。该算法面向认知网络环境综合考虑了网络资源、业务流、策略选择等要素，在获知网络中业务流的宏观特征和需求的前提下，首先通过离线资源分配将网络资源按照业务流的固有分配特征预先配置给不同类型的业务流，然后通过在线路径计算实时得出各个业务流的最优路径。仿真实验验证了认知路由算法的有效性，对比于MIRA、SWP路由算法，CNR算法可以提高网络资源利用率，避免因资源不均衡产生的网络拥塞，能够在业务流和资源2个层面优化网络性能。

Abstract

A cognitive network routing (CNR) algorithm based on service awareness and policy choice oriented to cognitive network was proposed.This algorithm takes network resource

flow

policy choice into account and obtains the flow characteristics and network resources condition in advance.CNR algorithm fulfills the distribution of resources through offline network allocation and gets the optimal path of each flow by online path computation.Simulation verified the effectiveness of cognitive network routing algorithm and showed that compared with the traditional routing algorithms

the cognitive network routing algorithm can improve the cognitive utilization of network resources

avoid network congestion coursed by resources allocation and optimize network performance at different levels.

关键词

Keywords

references

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