Novel network selection algorithm based on fuzzy inference

Doru Todinca, C. Cernazanu-Glavan
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引用次数: 8

Abstract

In the heterogeneous mobile networks of the future, the mobile users, equipped with multi-mode terminals, will be able to select the radio network that suits best the needs of the mobile user and of the applications running on the mobile terminal. In this work we propose a novel network selection algorithm based on fuzzy inference. Our algorithm permits a prioritization of the users by using different fuzzy rules for each class of users. We investigate by simulation the efficiency of our algorithm and compare its results with an existing network selection algorithm, called consumer surplus.
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基于模糊推理的网络选择新算法
在未来的异构移动网络中,配备多模终端的移动用户将能够选择最适合移动用户需求和在移动终端上运行的应用程序需求的无线网络。本文提出了一种基于模糊推理的网络选择算法。我们的算法通过对每一类用户使用不同的模糊规则来允许用户的优先级。我们通过模拟研究了算法的效率,并将其结果与现有的网络选择算法(称为消费者剩余)进行了比较。
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