Publication Date: 2023/06/09
Abstract: An important feature of a bandwidth optimization system is the adequate provision of internet services with high data rates and wide coverage. Low bandwidth causes poor internet speed, network downtime, constant network traffic congestion and network unavailability during peak and off-peak periods, to mention a few. Existing research on bandwidth optimization focused on bandwidth allocation in creating different channels and traffic isolation to Guarantee good Quality of Service (QoS). Despite several optimization techniques and bandwidth allocation algorithms of existing researchers, there is still reduced connectivity by which internet users are grossly affected in spite of increased energy cost of network devices and other infrastructure. One of the serious issues of optimization techniques is that of the problem of mixed-integer linear programming. Therefore, this article gives a brief overview of a list of bandwidth optimization models deployed through previous researchers, stating the optimal algorithms that work with each of the models while formulating a new bandwidth optimization model that solves the problem of mixed-integer linear programming technique that was the approach adopted from existing works necessary for wireless networks.
Keywords: Bandwidth, Traffic Congestion, Bandwidth Optimization, Bandwidth Allocation.
DOI: https://doi.org/10.5281/zenodo.8021560
PDF: https://ijirst.demo4.arinfotech.co/assets/upload/files/IJISRT23MAY1631.pdf
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