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计算机工程 ›› 2019, Vol. 45 ›› Issue (5): 105-109,115. doi: 10.19678/j.issn.1000-3428.0050459

• 移动互联与通信技术 • 上一篇    下一篇

基于Markov模型的接入网络选择算法

马礼,张涛,马东超,傅颖勋   

  1. 北方工业大学 计算机学院,北京 100144
  • 收稿日期:2018-02-08 出版日期:2019-05-15 发布日期:2019-05-15
  • 作者简介:马礼(1968—),男,教授,主研方向为分布式系统、物联网;张涛,硕士研究生;马东超,副教授、博士;傅颖勋,讲师、博士。
  • 基金资助:

    国家自然科学基金(6172023,61371143);北京市自然科学基金(4172019)。

Access Network Selection Algorithm Based on Markov Model

MA Li,ZHANG Tao,MA Dongchao,FU Yingxun   

  1. School of Computer Science and Technology,North China University of Technology,Beijing 100144,China
  • Received:2018-02-08 Online:2019-05-15 Published:2019-05-15

摘要:

针对异构环境下不同业务类型的终端对于接入网络的不同质量需求,提出一种基于改进Markov模型的网络选择算法。利用Markov模型的预测能力对即时类业务与非即时类业务终端构建相应的收益函数,应用数学迭代求解法得到长期期望收益最高的网络选择策略。仿真结果表明,该算法能有效提高网络资源利用率,降低网络阻塞率及终端网络切换次数。

关键词: 物联网, 网络选择, 异构网络, Markov模型, 阻塞率

Abstract:

Aiming at the different quality requirements of different business type terminals for access network in heterogeneous environment,a network selection algorithm based on improved Markov model is proposed.The prediction ability of Markov model is used to construct the corresponding income function for instant class service and non-instant class service terminals,and the network selection strategy with the highest long-term expected income is obtained by using mathematical iterative solution method.Simulation results show that the algorithm can effectively improve the network resources utilization,reducing the network blocking rate and the number of terminal network switching.

Key words: Internet of Things(IoT), network selection, heterogeneous network, Markov model, blocking rate

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