Evaluation of Active Queue Management Methods based on Integrated AHP, TOPSIS and Fuzzy TOPSIS

Abstract

The Evaluation and selection of Active Queue Management (AQM) methods are a complicated and challenging task. Improper AQM method can cause up-mark and network malfunctioning. To achieve satisfactory performance, various evaluation criteria need to be considered. In order to find the limitations of how the criteria are determined, there is a need to find out how their procedures change according to the evaluation and benchmarking process of AQM. This article focuses on the evaluation and benchmarking of Active Queue Management methods using Multi-Criteria Decision-Making (MCDM) techniques. MCDM uses different techniques to figure out the best alternative from multi-criteria and multi alternative conditions. Analytic Hierarchy Process (AHP) is a multi-criteria decision-making technique that is used to assign weights to criteria. Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is used for ranking and selection of different alternatives by using distance measures. Whereas, FUZZY TOPSIS is used for criteria weightage and alternatives rating. MCDM calculation is performed on AQM methods and it is tried to discuss all these techniques. MCDM uses performance, overhead, and configuration criteria to evaluate and select the best AQM method that helps to determine solutions for future directions. The results show that Random Early Detection (RED) method got higher ranking score records as compared to other AQM methods.