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小生境粒子群优化ABC支持型QoS组播路由机制

马连博 胡书培 王兴伟 黄敏

华中科技大学学报(自然科学版)2016,Vol.44Issue(11):97-102,6.
华中科技大学学报(自然科学版)2016,Vol.44Issue(11):97-102,6.DOI:10.13245/j.hust.161120

小生境粒子群优化ABC支持型QoS组播路由机制

ABC supporting QoS multicast routing mechanism using niche particle swarm optimization

马连博 1胡书培 2王兴伟 1黄敏3

作者信息

  • 1. 东北大学 软件学院,辽宁沈阳110819
  • 2. 东北大学 计算机科学与工程学院,辽宁沈阳110819
  • 3. 东北大学 信息科学与工程学院,辽宁沈阳110819
  • 折叠

摘要

Abstract

To solve these problems that the ABC (always best connected) supporting QoS (quality of service) multicast routing mechanisms usually suffer from the problems of inaccurate link parameters , indescribable QoS parameters of user and the conflicting interests between users and operators ,a multi‐objective model based on user and operator of the game was proposed .Specifically ,this model characterized those indescribable parameters by using the fuzzy math theory and ensured the fairness between users and operators by using the theory of Nash equilibrium .To solve this multi‐constrained QoS multicast routing model effectively ,a multi‐objective optimization algorithm ,namely niche parti‐cle swarm optimization based on dynamic Pareto cluster analysis ,was developed .This algorithm em‐ployed clustering niche to keep diversity of the population ,and received high‐quality solutions as soon as possible by introducing the dynamic Pareto analysis .Finally ,a comprehensive simulation experi‐ment was conducted on the NS2 (Network Simulator 2) platform .Experimental results show that the proposed mechanism obtains satisfactory performance regarding credibility of path ,the utilities of us‐ers and network providers ,which explicitly verifies its effectiveness and feasibility .

关键词

ABC支持型QoS/组播路由/小生境粒子群算法/Pareto最优/纳什均衡

Key words

ABC supporting QoS/multicast routing/niche particle swarm optimization/Pareto optimality/Nash equilibrium

分类

信息技术与安全科学

引用本文复制引用

马连博,胡书培,王兴伟,黄敏..小生境粒子群优化ABC支持型QoS组播路由机制[J].华中科技大学学报(自然科学版),2016,44(11):97-102,6.

基金项目

国家杰出青年科学基金资助项目(61225012,71325002);国家自然科学基金资助项目(61572123,61502092,61503373);辽宁省百千万人才工程资助项目(2013921068). ()

华中科技大学学报(自然科学版)

OA北大核心CSCDCSTPCD

1671-4512

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