Bio
Oyebode Aduragbemi is a researcher in computer science, affiliated with Babcock University, Nigeria. His work focuses on network congestion, traffic shaping, and the impact of OTT services. He has published several papers on Long-Term Evolution (LTE) networks and TCP congestion control. With a background as a reviewer for the Global Journal of Computer Science and Technology (GJCST), he contributes to the academic community. His research has garnered citations, reflecting his contributions to the field. He holds an M.Sc in Computer Science and a B.Tech in Information Technology.
Educational Journey
M.Sc in Computer Science , B.Tech in Information Technology
Experience
Editors Role
Reviewer
GJCST
2018 -Research
TCP Congestion Control: A Contributing Factor to Congestion in Long-Term Evolution Networks
Long-Term Evolution (LTE) has evolved the field of data transmission, bringing about the era of 4th Generation Networks capable of providing broadband speeds to mobile users based on the development experienced in the field of data transmission. There has been a sporadic increase in the utilization of Long-Term Evolution (LTE) networks, due to the ever-growing utilization of network links and network services, certain issues begin to rise, one of such issues is the problem of congestion. The more utilized a network becomes, the more vulnerable it is to congestion. Data networks become congested when network cannot keep up with the growing demand for the networks resources. Transmission Control Protocol (TCP) is the most used protocol today, and its application in Long-Term Evolution networks is analysed. This work show that TCP contributed to congestion in Long-Term Evolution networks.
The Impact of OTT Services in Nigeria: Regulators, Operators and Customers Perspective
Advancement in the field of Information Communication Technology (ICT) has led to creation of new technologies, one of such is Over-The-Top technology. This new technology offers low-cost delivery of digital information content and services which includes VoIP services, instant messaging services and so on to consumers. The Over-TheTop services do not have a network system of their own but instead rely on of telecommunication operator networks and other Internet Service providers for the delivery of their services, without any policy or lease agreement with these operators. This work focuses on considering the perspectives of the regulatory board, the telecommunication operators and the consumer has it relates to this technology. We also analyse the impact of the Over the Top technology has on the Nigerian economy also.
A Model for Congestion Mitigation in Long-Term Evolution Networks Using Traffic Shaping
Long-Term Evolution (LTE) has evolved the field of data transmission, bringing about the era of 4th Generation Networks capable of providing broadband speeds to mobile users based on the development experienced in the field of data transmission. There has been a sporadic increase in the utilization of Long-Term Evolution (LTE) networks, due to the ever-growing utilization of network links and network services, certain issues begin to rise, one of such issues is the problem of congestion. The more utilized a network becomes, the more vulnerable it is to congestion. Data networks become congested when network cannot keep up with the growing demand for the networks resources. The focus of this work is on proposing a model to mitigate the effects of congestion on Long-Term Evolution (LTE) networks. The model was evaluated using the NS-2 network simulator and Network Utilization, Network Delay, Throughput metrics would be used to evaluate the efficiency of the model. The enhanced model performed better and more efficiently than previous solutions, offering a better way to mitigate the effects of congestion in Long-Term Evolution networks. The results obtained from the simulations showed that the enhanced model if implemented in Long-Term Evolution network will reduce the effects of congestion, improving network throughput and overall performance.
