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Network selection has a crucial importance for scenarios with high-dense deployed mobile nodes. Multiple criteria during handover should be considered and this requires a sophisticated solution. Multi-Criteria Decision Analysis (MCDA) is one of various techniques proposed to address this issue. There are three stages for resolving every MCDA problem - normalization, weighting and using of the decision algorithm. Algorithms for each of these stages are analyzed in this article in order to find the optimal combination. Different normalization techniques are reviewed and Enhanced Max-Min method is selected as most appropriate. Weighted Least Squares (WLS) algorithm as weighting technique is applied in handover-decision field for the first time. Also, a hybrid weighting approach is proposed. WLS and hybrid weighting methods are compared with the Eigenvector method, which is most widely used in literature. Additionally, SAW, GRA, TOPSIS and VIKOR algorithms are simulated in MATLAB and their performance is analyzed.
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Bikmukhamedov et al. (2016) studied this question.