An improved TOPSIS vertical handoff algorithm for heterogeneous wireless networks

Liu Sheng-mei, Pan Su, Xu Ming-hai
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引用次数: 47

Abstract

In this paper, we propose a SINR(Signal to Interference plus Noise Ratio), AHP(Analytic Hierarchy Process) and information Entropy weight method based TOPSIS (SAE-TOPSIS) vertical handoff algorithm which uses the combined effects of SINR with SINR value from one network being converted to equivalent SINR value to the target network for getting the same data rate, user required bandwidth, user traffic cost and available bandwidth of the participating access networks to construct the attribute matrix and make handoff decisions for multi-attribute QoS consideration according to the features of the traffic. For performance evaluation, four traffic classed defined by 3GPP are considered. The subjective weight relations of decision elements are determined by eigenvalue method of AHP. Next, the information entropy method is employed to derive the objective weights of the evaluation criteria and on the basis, the comprehensive weight is obtained. Finally we use TOPSIS algorithm to make decision according to the attribute matrix and weight vector. The results show that our proposed scheme can achieve excellent performance according to the characteristics of the traffic by considering the relations of multiple attributions synthetically.
一种改进的异构无线网络TOPSIS垂直切换算法
在本文中,我们提出了一种基于信噪比(SINR)、层次分析法(AHP)和信息熵权法的TOPSIS (SAE-TOPSIS)垂直切换算法,该算法利用一个网络的SINR和SINR值的综合作用,将一个网络的SINR值转换为目标网络的等效SINR值,以获得相同的数据速率、用户所需带宽、根据参与接入网的用户流量成本和可用带宽,根据流量的特点构造属性矩阵并进行多属性QoS考虑的切换决策。为了进行性能评估,我们考虑了3GPP定义的四种流量分类。采用层次分析法的特征值法确定决策要素的主观权重关系。其次,利用信息熵法推导评价指标的客观权重,在此基础上得到综合权重;最后利用TOPSIS算法根据属性矩阵和权重向量进行决策。结果表明,通过综合考虑多个属性之间的关系,所提出的方案能够根据流量的特点获得较好的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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