A New Congestion Control Algorithm Based on Novel AQM

-The Congestion Control and queue management are important to the robustness and fairness of the Internet and other network application. The Congestion Control is concerned with allocating the network resources such that the network can operate at an optimum fair performance level when the demand exceeds or it is near the capacity of the network resources. The Active Queue Management algorithms identified earlier show weaknesses to detect and control congestion under dynamically changing network topologies. This has been proposed in order to continuously reduce the packet dropping possibility, and improve the link utilization ratio. The Congestion Control algorithm has been designed AQM and TCP and tuned to work fine for wired networks where packet loss is mainly due to network congestion. In wireless networks, however, communication links suffer from transmission bit errors and handoff failures. As a result, the performance of TCP flows is significantly degraded. To mitigate this and many other drawbacks of the existing algorithms the new active queue management has been projected. In this paper a new AQM algorithm, is proposed to improve on both fairness and congestion control in heterogeneous networks. It can find the congestion at the earliest time and make the best of network resource. The simulation result shows the proposal can detect the congestion in time in the changing network condition, and make the output smooth. Finally, a simulation platform is being developed, tested and validated to demonstrate the merits and capabilities of the proposed AQM through a set of experiments and scenarios. The performance of modified AQM is compared to the existing BLUE AQM algorithm. The results of the simulations show that the proposed AQM is very promising with respect to responsiveness and robustness in time-varying networks.