基于模糊层次—熵权法的自适应垂直切换算法

Adaptive Vertical Handover Algorithm based on Fuzzy Hierarchy-entropy Weight Method

针对当前异构网络中,采用多决策属性的垂直切换算法难以动态调整网络属性的权重值,从而无法满足用户服务质量(QoS)的需求问题,文章以接入最优的异构无线网络和保障用户QoS为目标,提出基于模糊层次—熵权法的自适应垂直切换算法。首先,根据用户对网络属性的不同要求,采用主观模糊层次赋权与客观熵权法结合的方式构建网络属性优化模型,之后根据用户体验采用自适应机制来动态地调整各网络属性权重值,最后利用成本函数对异构网络的状态进行切换预测,从而选择接入最优的无线网络。仿真实验表明,所提算法能有效降低网络切换率,能更好地保证异构无线网络之间的负载均衡,增加了移动终端的续航时间。

In current heterogeneous network, the multi-decision attribute vertical handover algorithm is difficult to dynamically adjust the weight value of the network attributes, and thus cannot meet the user’s Quality of Service(QoS) requirements. To solve this issue, this paper aims at accessing the optimal heterogeneous wireless network and guaranteeing the user’s QoS, and proposes an adaptive vertical handover algorithm based on the fuzzy hierarchy-entropy weight method. First, according to user experience, a model of network attribute optimization is constructed by combining subjective fuzzy hierarchical weighting and objective entropy weights. Then, an adaptive mechanism is used to dynamically adjust the weight value of each network attribute according to user experience. Finally, the cost function is used to predict the state of the heterogeneous network to select the optimal wireless network. Simulation experiments verify that the proposed algorithm can effectively reduce the network switching rate, better ensuring the load balancing between heterogeneous wireless networks, and increase the endurance of mobile terminals.