Authors :
Oluwatobi Akinmerese; Oludele Awodele; Kofi Makinwa; Shade Kuyoro; Folasade Adedeji
Volume/Issue :
Volume 8 - 2023, Issue 5 - May
Google Scholar :
https://bit.ly/3TmGbDi
Scribd :
https://shorturl.at/fglvI
DOI :
https://doi.org/10.5281/zenodo.8021560
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.
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.
