Congestion Control Using Predictive Approach in Mobile Ad Hoc Network
Hariom Soni1, Pradeep Kumar Mishra2

1Hariom Soni, M.Tech. scholar, Department of computer science and engineering, Oriental institute of science and technology, Bhopal. M.P., India.
2Pradeep Kumar Mishra, Asst. professor, Department of computer science and engineering, Oriental institute of science and technology, Bhopal, M.P., India.
Manuscript received on August 02, 2013. | Revised Manuscript received on August 28, 2013. | Manuscript published on September 05, 2013. | PP: 76-78 | Volume-3, Issue-4, September 2013. | Retrieval Number: D1736093413
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: The Active Queue Management algorithms stabilize the instantaneous queue length through mapping the congestion measurement into packet drop probability to achieve high throughput and low average delay. Random Early Detection [RED] is widely used AQM mechanism detecting and avoiding the incipient congestion. The detection of congestion is based on priori estimation of congestion and calculation of average queue length and RED queue parameter settings. This paper describes the research work done in recent and new mechanism to estimates the network congestion and avoiding them, so that network performance will improve. Our goal in this paper is to achieve high throughput and low end to end delay in congested network.
Keywords: [RED] AQM RED,