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Development of an Enhanced Congestion Control Protocol in Transmission Control Protocol
Author(s) -
Olumide Sunday,
Mutiu Ganiyu,
Olugbemiga Solomon Popoọla,
Ibraheem Temitope Jimoh
Publication year - 2020
Publication title -
international journal of computer applications
Language(s) - English
Resource type - Journals
ISSN - 0975-8887
DOI - 10.5120/ijca2020920048
Subject(s) - computer science , protocol (science) , transmission (telecommunications) , computer network , network congestion , control (management) , internet protocol control protocol , user datagram protocol , telecommunications , internet protocol suite , world wide web , artificial intelligence , the internet , medicine , alternative medicine , pathology , network packet
The common problems that motivate most of the researchers in the field of congestion control revolves around how to have a congestion free network while maintaining efficient links utilization, fairness, elimination of packet loss/drop as well as achieving throughput in an heterogeneous network environments. This work adopted internet prey-predator model protocol and enhanced it. The network topology consist of a router, an access point (AP), four wired and wireless nodes were used as test bed. Network Simulator 3 (ns-3) and C++ was used to simulate the work. The work examined the basis of congestion variant and develop a new enhanced congestion control protocol. The numerical results obtained under different simulation scenarios show that the new protocol manifest high bandwidth utilization, reduced loss rate, fairness among the flows and improved throughput. The new protocol is recommended to be deployed on the public transmission control protocol stack, this will not only improve the network performance but also better subscribers experience and give them value for their money. It will also afford the Internet Service Providers the opportunity to provide uninterruptible internet access. Future work can focus on improving the performance of TCP with chaotic control theory using machine learning to better explore the model. General Terms Computer Network, Congestion Control, Predator-Prey Model, Lotka-Volterra, Algorithms.

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