دانلود رایگان مقاله روش رتبه بندی متناوب برای تصمیم انتقال عمودی در شبکه بی سیم ناهمگن

Abstract

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.

5. Conclusions and future work

In comparison with the classical MADM methods: TOPSIS, SAW, MEW and GRA, the proposed Simplified and Improved Multiple Attributes Alternate Ranking (SI-MAAR) method eliminated the attribute normalization and weight calculation method’s dependency, resulting in reliable network rank for the seamless handover without the rank reversal problem. The MATLAB simulation carried out in 1000 and 10,000 different combinations of network attributes, and 1000 different combinations of the expected attributes, justified network attribute sensitivity, 100% network rank reliability with 0% rank reversal problem of the SI-MAAR method when compared to the classical MADM methods.