Novel Network Selection Algorithm Based on Fuzzy Inference

被引：0

作者：

Todinca, Doru ^{[1
]}

Cernazanu-Glavan, Cosmin ^{[1
]}

机构：

[1] Univ Politehn Timisoara, Dept Comp, Timisoara, Romania

来源：

2013 IEEE 8TH INTERNATIONAL SYMPOSIUM ON APPLIED COMPUTATIONAL INTELLIGENCE AND INFORMATICS (SACI 2013) | 2013年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：467 / 472

页数：6

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