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Simplified and improved multiple attributes alternate ranking method for vertical handover decision in heterogeneous wireless networks

机译:异构无线网络中用于垂直切换决策的简化和改进的多属性交替排序方法

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Multiple Attribute Decision Making (MADM) is one of the best candidate network selection methods used for Vertical Handover Decision (VHD) in heterogeneous wireless networks (4G). Selection of the network in MADM is predominantly decided by two steps, i.e., attribute normalization and weight calculation. This dependency in MADM results in an unreliable network selection for handover, and in a rank reversal (abnormality) problem during the removal and insertion of the network in the network selection list. Hence, this paper proposes a Simplified and Improved Multiple Attributes Alternate Ranking method referred to as SI-MAAR to eliminate the attribute normalization and weight calculation methods, thereby solving the rank reversal problem. Further, the MATLAB simulation results demonstrate that the proposed SI-MAAR method outperforms MADM methods such as TOPSIS, SAW, MEW and GRA with respect to the network selection reliability and rank reversal problems. (C) 2015 Elsevier B.V. All rights reserved.
机译:多属性决策(MADM)是异构无线网络(4G)中用于垂直切换决策(VHD)的最佳候选网络选择方法之一。 MADM中网络的选择主要由两个步骤决定,即属性归一化和权重计算。 MADM中的这种依赖性导致不可靠的网络选择进行切换,并在网络选择列表中删除和插入网络期间导致等级反转(异常)问题。因此,本文提出了一种简化和改进的多属性交替排序方法,称为SI-MAAR,以消除属性归一化和权重计算方法,从而解决了排序逆转问题。此外,MATLAB仿真结果表明,在网络选择可靠性和等级逆转问题上,所提出的SI-MAAR方法优于TOPSIS,SAW,MEW和GRA等MADM方法。 (C)2015 Elsevier B.V.保留所有权利。

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