改进Markov过程的异构无线网络垂直切换算法

针对当前异构无线网络垂直切换算法存在切换次数多, 服务质量难以满足实际应用需要的问题, 以获得更优的异构无线网络服务质量为目标, 提出一种基于改进Markov过程的异构无线网络垂直切换算法. 首先, 建立异构无线网络整体性能评价指标体系, 然后采用灰色关联分析法确定网络整体性能评价指标的权重值, 最后利用Markov决策过程对异构无线网络的状态进行预测, 选择最优的接入网络, 并通过异构无线网络垂直切换的仿真对比实验测试和分析其性能. 实验结果表明, 相对其他异构无线网络垂直切换算法, 该算法可降低平均切换次数, 避免了频繁切换现象的发生, 大幅度减少了网络数据传输的丢包率, 改善了用户满意度, 获得了更高的服务质量.

Vertical Handoff Algorithm of Heterogeneous WirelessNetworksBased on Improved Markov Process#br#

Aiming at the problem that the current vertical handoff algorithm of heterogeneous wireless networks had many handover times and the quality of service was difficult to meet the practical application needs, in order to achieve better quality of service for heterogeneous wireless networks, we proposed avertical handoff algorithm of heterogeneous wireless networks based on improvedMarkov process. Firstly, the overall performance evaluation index system of heterogeneous wireless networks was established. Secondly, the weight of the overallperformance evaluation index of the network was determined by grey relational analysis method. Finally, the state of heterogeneous wireless networks was predicted by Markov decision process, and the optimal access network was selected,and its performance was tested and analyzed by the simulation and comparative experiment of vertical handoff of heterogeneous wireless networks. The experimental results show that compared with other vertical handoff algorithms of heterogeneous wireless networks, the proposed algorithm can reduce the average handoff times, avoid frequent handoff, greatly reduce the packet loss rate of network data transmission, improve user satisfaction and achieve higher quality of service.