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A utility-based fuzzy TOPSIS method for energy efficient network selection in heterogeneous wireless networks

机译:基于效用的模糊TOPSIS方法用于异构无线网络中的节能网络选择

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Mobile terminals in 4G heterogeneous wireless networks continuously undergo horizontal and vertical handovers. In order for a mobile terminal to be connected to a network in the best possible way in terms of QoS performance and energy consumption, access network selection as the main decision within the handover process is obviously crucial. This paper presents a novel method that takes into account user preferences, network conditions, QoS and energy consumption requirements in order to select the optimal network which achieves the best balance between performance and energy consumption. The proposed network selection method incorporates the use of parameterized utility functions in order to model diverse QoS elasticities of different applications, and adopts different energy consumption metrics for real-time and non-real-time applications. User preferences are easily configured for different application and situation contexts through the use of linguistic assessments and their representation as triangular fuzzy numbers. The aggregation of multiple criteria for the calculation of the overall rating of the networks is performed through the use of the Fuzzy Set Representation TOPSIS method that resolves the issue of inconsistency related to conflicting decision criteria and is modified through the use of the employed utility functions for the elimination of the ranking abnormality problem. Finally, simulations are conducted in order to demonstrate how the proposed method would work and confirm its suitability and effectiveness.
机译:4G异构无线网络中的移动终端不断进行水平和垂直切换。为了在QoS性能和能耗方面以最佳方式将移动终端连接到网络,接入网络的选择作为切换过程中的主要决定显然至关重要。本文提出了一种新颖的方法,该方法考虑了用户的喜好,网络条件,QoS和能耗要求,以选择能够在性能和能耗之间实现最佳平衡的最佳网络。所提出的网络选择方法结合了参数化效用函数的使用,以便对不同应用程序的不同QoS弹性进行建模,并针对实时和非实时应用程序采用不同的能耗指标。通过使用语言评估并将其表示为三角模糊数,可以轻松地针对不同的应用和情况上下文配置用户首选项。通过使用模糊集表示法TOPSIS方法执行用于计算网络总体评级的多个标准的汇总,该方法解决了与决策准则冲突有关的不一致问题,并通过使用以下工具将其修改:消除排名异常问题。最后,进行仿真以证明所提出的方法如何工作并确认其适用性和有效性。

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