摘要
本文提出一种基于群体智能的自组织网络SON(Self-Organizing Network)中的服务质量QoS(Quality ofService)单播路由机制,通过引入模糊数学相关知识描述不精确路由信息,通过引入微观经济学相关知识兼顾网络提供方和用户利益,基于蚂蚁网络寻找使各方效用达到或接近Nash均衡下Pareto最优的QoS单播路径.基于网络仿真器NS2(Network Simulator 2)对该机制进行了仿真实现和性能评价,结果表明,该机制在用户效用、网络提供方效用、路径综合评价值、Nash均衡下Pareto最优比和路由成功率等方面具有良好性能.
In this paper,a swarm intelligence based QoS（Quality of Service） unicast routing scheme in SON（Self-Organizing Network） is proposed.Inexact routing information is described with fuzzy mathematics at the same time profits of both user and network provider are taken into account with microeconomics.Based on AntNet algorithm,a QoS unicast path is found with Pareto optimum under Nash equilibrium of both user and network provider utilities achieved or approached.The proposed scheme is implemented by simulation over NS2（Network Simulator 2） and its performance is evaluated.It was shown that the proposed scheme had good performance on user utility,network provider utility,path comprehensive evaluation value,Pareto optimum ratio under Nash equilibrium and routing success ratio.
出处
《电子学报》
EI
CAS
CSCD
北大核心
2010年第10期2329-2335,共7页
Acta Electronica Sinica
基金
国家自然科学基金(No.61070162
No.71071028
No.60802023
No.70931001
No.61071124)
高等学校博士学科点专项科研基金(No.20070145017)
中央高校基本科研业务费专项资金(No.N090504003
No.N090504006)
关键词
自组织网络
蚂蚁网络
QOS
单播
路由
SON（Self-Organizing Network）
AntNet
QoS（Quality of Service）
unicast
routing
