Abstract
A wireless environment is characterized by its dynamic nature, inherent uncertainty, and imprecise parameters and constraints. Network settings such as speed, RSS, network delays, etc. are inherently imprecise. Due to this vagueness, accurately measuring these network parameters in a wireless environment is a difficult task. As a result, a fuzzy logic approach appears to work best when used to design systems in such environments. Although conventional techniques based on precise values can be used to reduce transmission delay, they cannot produce intelligent and efficient transfer decisions that take into account all the constraints of the network. Thus, using one criterion only can lead to service disruption, unbalanced network load, and inefficient handoff. Therefore, to guide the Horizontal handover process in wireless networks towards making a better choice for VoIP in congested environments, we propose the integration of the Fuzzy-AHP and VIKOR method in SDN (Software Defined Networking) controller on several criteria (the signal-to-noise ratio plus interference (SNIR), packet loss, jitter, delay, throughput). However, the results of this work show that our contribution maintains a good quality of service for real-time applications.
Highlights
IntroductionEach decision-making problem has several alternatives that a decision-maker tries to filter or classify in a decisionmaking process, the attributes are essentially the criteria used to evaluate the alternatives
In an uncertain environment, multi-criteria decisionmaking methods (MADM) consist of constructing a Global Preference Relation for a set of alternatives evaluated by several criteria.Each decision-making problem has several alternatives that a decision-maker tries to filter or classify in a decisionmaking process, the attributes are essentially the criteria used to evaluate the alternatives
We tried to make a comparative study of two codecs G711 and G729, for a network architecture with SDN and other SDN based on FAHP and VIKOR methods
Summary
Each decision-making problem has several alternatives that a decision-maker tries to filter or classify in a decisionmaking process, the attributes are essentially the criteria used to evaluate the alternatives. These attributes are grouped into attributes of cost and other benefits or risk. To reflect the importance of the attributes, they are assigned a weighting factor either by the decision-maker or calculated with a mathematical method. Consists of weighting the different criteria of the multicriteria decision problem with real numbers called weights which represent the importance of each criterion in the decision process. Once the importance of the different criteria is quantified, the method chooses the action that minimizes or maximizes the weighted sum of the criteria.
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