Abstract

In a complex world, where networking expands very rapidly, the network stability of flow of bandwidth played a vital role in transmitting packets. Hence, it was imperative to find solution to the problem of congestion especially in the follow of bandwidth stability. Congestion in computer networking is caused by so many factors. Some of the signs are packet loss, queuing delay resulting from overloading the buffer, faulty hardware devices, intermixing of old and new technologies and unstable flow of bandwidth resulting from positive feedback A negative feedback mechanism was added to the network. Feedback was developed using both control and queuing theory. The congested signalling was tested for stability using control theory. Kendall notation was used to determine both arrival and service rates with all the queue disciplines. Matlab was used to simulate the model. Bode plots and impulse responses were used to analyse the performance of the improved model. The results showed that flow of bandwidth was stable with increase in service rate of packets and decrease in the probability of routers not accepting packets. This shows that adopting dynamic explicit feedback model reduced congestion by minimal packet drops, balanced flow of bandwidth, converges to fairness and minimized amplitude of oscillation.

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