Model Formulation and Adaptive Neuro Fuzzy Inference System (ANFIS) to Monitor the Network Performance of Call Quality

Kadiri Kamoru Oluwatoyin*, Enem Theophilus Aniemeka **
* Department of Electrical and Electronic Engineering, Federal Polytechnic, Offa, Kwara, Nigeria.
** Department of Computer Science, Air Force Institute of Technology, Nigerian Air Force Base, Kaduna, Nigeria.
Periodicity:August - October'2019
DOI : https://doi.org/10.26634/jcs.8.4.17321

Abstract

Poor voice quality in Voice over Internet Protocol (VoIP) models during communication is a common occurrence that VoIP users experience, and can be frustrating when users cannot communicate efficiently. Most people find it difficult when they make calls and there is an echo. In addition time, effort and energy are wasted without any compensation. Users are also frustrated by not receiving, not transmitting or misunderstanding voice messages correctly. This study aims to reduce the threat of bad calls and improve the quality of voice calls. The work is designed to solve the need of the community of users by helping them to reduce communication costs and at the same time enabling them to communicate with greater clarity of signal using a unified communication system such as phones, computers, and tablets with one another. However, when the service requirement is greater than or equal to the threshold, it is segmented into less than or equal to the threshold value in smaller packets with a maximum service requirement. Besides this, if this node is vacant or has a single packet in the service unit, a packet is not saved at an intermediate node. These findings show the validity of hybrid switching that includes three fundamental computer network switching methods: packet, signal, and circuit switching. The results show that the maximum value of the limit is always available, which minimizes the network delay for nearly all traffic concentrations.

Keywords

Adaptive, Call Quality, Fuzzy, Inference System, Neuro-Fuzzy.

How to Cite this Article?

Oluwatoyin, K. K. and Aniemeka, E. T. (2019). Model Formulation and Adaptive Neuro Fuzzy Inference System (ANFIS) to Monitor the Network Performance of Call Quality. i-manager's Journal on Communication Engineering and Systems, 8(4), 9-14. https://doi.org/10.26634/jcs.8.4.17321

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