Congestion Avoidance Using Enhanced Blue Algorithm

This paper addresses congestion avoidance using enhanced blue algorithm (EBA) for data transferring in a network. The congestion of data always afects the data transmission on
the internet for various applications. For developing data transmission performance, the congestion of data is a challenging task. Although, diferent approaches have been used
to avoid data congestion, yet we have considered a data transmission framework for better performance compare to existing approaches. Thus, we considered the advanced Blue
Algorithm which is used to determine the node’s capacity with middle path and it prevents
congestion by monitoring of data during data transmission. The role of gateway is considered to supervise status of congestion for both data sending and receiving based on positive
or negative acknowledgment as well as data size. The gateway is also used for a congestion notifcation system to alleviate congestion and enhance throughput. During experimental analysis, we have taken comparative performance between existing and our proposed model. For example, in Enhanced Ad hoc On-demand Distance Vector (EAODV), during the packet size of 10, the average end-to-end delay is 32.63 ms whereas in proposed advanced Blue algorithm, the average delay is only 19.11 ms. Thus, the proposed model using Blue algorithm is performed better than existing method