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CONGESTION PREDICTION IN WIRELESS NETWORK USING GENE EXPRESSION PROGRAMMING TECHNIQUE

Congestion Control is very important in any network to provide a good quality of service. This paper implementing a Network based Congestion Control technique using Gene Expression Programming. Congestion is caused when the number of packets stored at the router buffer exceeds the total capacity of the buffer. Under this state the additional packets received at the router are lost. In any Network, the measured Buffer Utilization value can be used to identify congestion. Whenever congestion occurs there is a drastic loss of data packets. To overcome this problem this work tries to implement a method where the congestion is predicted before it occurs and to avoid it. To achieve this, here a summary of the past and present buffer utilization value and the corresponding parameters that determine the buffer utilization are collected and this information is used by the Gene Expression Program to predict the future buffer utilization value. This value is used to identify the occurrence of Congestion in the network in the near future. Once Congestion is predicted, less drastic measures can be taken to avoid it