An In-depth Study On The Mechanism Of Controlling Congestion Problems During The Massive Traffic Of Data

Alaa K. Al-azzawi; Basil M. Al-mahdawi

doi:10.6180/jase.202307_26(7).0011

An In-depth Study On The Mechanism Of Controlling Congestion Problems During The Massive Traffic Of Data

Alaa K. Al-azzawiThis email address is being protected from spambots. You need JavaScript enabled to view it. and Basil M. Al-mahdawi

Ministry of Higher Education & Scientific Research, Middle Technical University, Technical Engineering College, Department of Mechatronics Eng. Techniques, Baghdad-Iraq

Received: June 28, 2022
Accepted: August 5, 2022
Publication Date: October 14, 2022

Copyright The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.

Download Citation: ||https://doi.org/10.6180/jase.202307_26(7).0011

ABSTRACT

Nowadays, the modern internet has adopted all the uses of the IoT in addition to 3D technologies. The exchange of information on the internet takes place in the form of packets that are almost supported by a finite throughput. A large number of transferred packets must flow smoothly and be controlled to avoid congestion. Therefore, the trend lies in adopting smart algorithms to control the flow of data, which will increase the efficiency of traffic management while preventing the occurrence of congestion. Congestion problems and transmission packet losses may greatly reduce communication activities. In this paper, a rate-based congestion control framework for managing TCP applications as well as monitoring data traffic in wireless network-based sensors was presented. Further, optimal management dedicated to internet bearers is also suggested. The contributions of this paper have included an analytical comparison with the following congestion control algorithms; HSTCP, STCP, and CUBIC-TCP. This is to optimize the use of the available bandwidth as well as to control the flow of data in a smoothly. In addition, an intentional sequential queuing delay was adopted as feedback control modeling to be a challenge in increasing the number of users in the network. Finally, simulation sketches between the blocking probability versus no. of channels with an increase in no. of users, users in a queue, channels, CRR, and HTG, were distinct and stable to a large extent. The sketches also showed a noticeable change in the characteristics of data traffic: more data traffic and less transmission time.

Keywords: Network traffic, Packet, Routers, Congestion control, wireless-link scheduling

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