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。
A cognitive network routing（CNR） algorithm based on service awareness and policy choice oriented to cogni-tive 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 ef-fectiveness 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 conges-tion coursed by resources allocation and optimize network performance at different levels.
出处
《通信学报》
EI
CSCD
北大核心
2011年第11期168-175,共8页
Journal on Communications
基金
国家高技术研究发展计划("863"计划)基金资助项目(2009AA01Z202
2009AA01Z212)
国家自然科学基金资助项目(61003237)
江苏省重大科技支撑计划基金资助项目(BE2008134)
江苏省高技术研究计划基金资助项目(BG2007045)~~
关键词
认知网络
路由算法
业务感知
策略选择
cognitive network
routing algorithm
service awareness
policy choice
