基于VIKOR MADM的异构网络垂直切换优化方法

Silki Baghla, S. Bansal
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引用次数: 7

摘要

最优网络选择是异构网络中垂直切换的主要问题之一,以便为用户提供必要的服务质量(QoS)。在这种情况下,多属性决策算法提供了一种很有前途的解决方案。所使用的规范化过程可以在切换过程中选择最合适的网络方面发挥至关重要的作用。本文提出了基于向量归一化优选性能(V-VPP)的归一化技术,并将其应用于基于MADM的VIKOR算法。通过对异构网络中不同业务类别的不同QoS参数和加权方法,对所提出的技术的性能进行了广泛的分析,并将所得结果与可用的MAX、MAX-MIN和矢量归一化进行了比较。并与常用的MADM算法进行了比较。尽管与可用的归一化方法相比,切换延迟略有增加,但所提出的方法在切换次数较少、排序异常、选择适当网络方面的性能相当乐观。
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VIKOR MADM Based Optimization Method For Vertical Handover In Heterogeneous Networks
Optimum network selection is one of the major issues for vertical handover in heterogeneous networks so as to provide requisite quality of service (QoS) to the user. In this context, multiple attribute decision-making algorithms provide a promising solution. Normalization process used can play a vital role in selecting the most appropriate network during the handover process.In this work, vector normalized preferred performance based (V-VPP) normalization technique is proposed and applied to MADM based VIKOR algorithm. Performance of the proposed technique is analyzed extensively by varying QoS parameters and weighting methods for different traffic classes in a heterogeneous network The results obtained are compared with the available  MAX, MAX-MIN and Vector normalization.The proposed method is also compared with the popular MADM algorithms. Performance of proposed method is quite optimistic in terms of lesser number of handovers, ranking abnormality, selection of appropriate network though with slight increase in handover latency in comparison to the available normalization methods.
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来源期刊
Advances in Systems Science and Applications
Advances in Systems Science and Applications Engineering-Engineering (all)
CiteScore
1.20
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期刊介绍: Advances in Systems Science and Applications (ASSA) is an international peer-reviewed open-source online academic journal. Its scope covers all major aspects of systems (and processes) analysis, modeling, simulation, and control, ranging from theoretical and methodological developments to a large variety of application areas. Survey articles and innovative results are also welcome. ASSA is aimed at the audience of scientists, engineers and researchers working in the framework of these problems. ASSA should be a platform on which researchers will be able to communicate and discuss both their specialized issues and interdisciplinary problems of systems analysis and its applications in science and industry, including data science, artificial intelligence, material science, manufacturing, transportation, power and energy, ecology, corporate management, public governance, finance, and many others.
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