Load balancing technique to handle the congestion in the communication networks

One of the important functions in the high speed networks is traffic management. Handling the congestion is part of it. Congestion occurs due to many reasons, deficiency of resources and irregularity in resource allocation. The stereophonic methods for congestion control such as rate control, window mechanism, queue control and others can be executed to solve the congestion problem, but for the congestion due to irregular allocation, the fundamental solution is to use network resources more effectively by adjusting the traffic routing depending on choice may be probabilistic, when congestion occurs. Congestion on network creates delay in transmission of data which also leads to loss of the data packets, wastage of time and decrease in lifetime of the network channel. Main goal of our proposed algorithm is to find out the areas with congestion between source and destination nodes which will be helpful in avoidance of the congestion on the network in intermediate links which also reduces the packet loss on the communication channel. Using new mechanism combined with Leaky bucket, Token bucket with Ant colony optimization named MDBR. It can be shown that a successfully designed ant-algorithm will use shortest path when the network is capable of handling the packets, but when network faces congestion the load will be distributed and utilize over several short routes.