东北大学学报(自然科学版) ›› 2010, Vol. 31 ›› Issue (5): 625-629.DOI: -

• 论著 • 上一篇    下一篇

一种多粒子群切换决策机制

王兴伟;赵焕彦;黄敏;   

  1. 东北大学信息科学与工程学院;
  • 收稿日期:2013-06-20 修回日期:2013-06-20 出版日期:2010-05-15 发布日期:2013-06-20
  • 通讯作者: -
  • 作者简介:-
  • 基金资助:
    国家自然科学基金资助项目(60673159,70671020,70931001,60802023);;

Handover decision scheme based on multi-PSO

Wang, Xing-Wei (1); Zhao, Huan-Yan (1); Huang, Min (1)   

  1. (1) School of Information Science and Engineering, Northeastern University, Shenyang 110004, China
  • Received:2013-06-20 Revised:2013-06-20 Online:2010-05-15 Published:2013-06-20
  • Contact: Wang, X.-W.
  • About author:-
  • Supported by:
    -

摘要: 提出了一种切换决策机制,支持总最佳连接ABC(always best connected).该机制综合考虑接入网络状况、应用需求、用户对接入网络编码制式偏好、用户对接入网络供应商偏好、终端当前运动速率和终端当前剩余电量等因素,通过博弈分析,基于含最优变异的多粒子群优化算法,寻找把N个终端分配到M个接入网络的最佳切换决策方案,使用户和网络提供方效用达到或接近Nash均衡下的Pareto最优.仿真结果表明,该机制是可行和有效的.

关键词: 切换决策, 总最佳连接, 多粒子群, Nash均衡, Pareto最优

Abstract: A handover decision scheme was proposed to support ABC. It considered the following factors comprehensively: access network conditions, application requirements, users' preference for access network coding schemes and access network providers, terminals' current moving speed and residual battery capacities. Then, an optimal handover solution was found out to assign N terminals to M access networks, based on the multi-PSO (particle swarm optimization) with optimum mutation. By virtue of gaming analysis, the utility of both users and network providers achieved or approached the Pareto optimum under Nash equilibrium in the found solution. Simulation results showed that the handover decision scheme is feasible and effective.

中图分类号: