A Cognitive Approach for Congestion Control in High Traffic Networks

Abstract

Network congestion is one of challenging tasks in communication networks and leads to queuing delay, packet loss or the blocking of new connections. Here, a cognitive method is proposed to deal with network congestion. Unlike previous methods for congestion control, the proposed method is an intelligent approach for congestion control when the link capacity and information inquiries are unknown or variable. Based on simulation results, the cognitive method is capable of optimally adjusting the available bandwidth, to provide optimal communication services in network.