Intelligent Congestion Control Algorithm in a Network: Possible Alternatives

Performance of a network plays an important role for inter-business communication as well for ecommerce. As the number of machines hooked up on internet increases exponentially resulting in huge amount of data transfer thus requiring a network that is reliable and efficient. With ever-increasing traffic leading to several problems, congestion being one of them. Whenever problem occurs in a network the services to the users are often denied based on the priority of the user. In this paper we are going to throw light on several traditional ways for congestion control like warning bit, choke packets, load shedding and random early detection. These traditional methods for controlling congestion suffered from certain limitations like tuning of network parameters are difficult, wastage of resources etc. .In this paper two theoretical intelligent possible alternatives are given first one using the combination of enhanced shortest path and macro flow by combining the streams to control the congestion. Second one uses the abilities of neural networks for finding the best route. The neural network are include at each node to take local decisions as well at central level for taking global decision. Keywords— Neural networks, data mining, warning bits, choke packets, load shedding, Random early detection, Macro flow .