The traditional transmission control protocols are not so efficient for high speed computer networks and it has been a challenge to design a model that can be able to reduce congestion problem. In now days our life is very much affect by the internet. In any network, network congestion is the one of the most complex, critical, high priority and fundamental problem. So internet is affected by it. Congestion cause packet loss in data and long delay time to reach the packet. It requires intelligent, robust, control approach to obtain satisfactory performance. In this paper it is try to solve network congestion problem with the help of Fuzzy theory with various membership functions and using Mamdani rule. There are various network parameters in which computer network congestion depends such as packet size, bandwidth, buffer size, transmission rate, packet drop probability. This paper used some of the major factors in which congestion depends. Fuzzy means vague, that cannot be determine as yes or no. it gives the degree of truthfulness. With the help of this paper one can judge the degree of congestion. How much congestion is right now, within various circumstances? This help may help to reduce, handle, and manage network congestion. Matlab software used to calculate the degree of congestion over various network parameters. This is one of the most economic fuzzy rule based model by which it is easy to detect congestion before congestion collapse so that effective steps is taken to prevent the risk of congestion collapse. The quality of service is secured by the better performance of this model. It is a decision making model. In this paper intelligent solution of congestion in computer network is given on the basis of fuzzy logic.

Fuzzy theory Congestion detection Computer Network Matlab congestion control