COMPARISON OF RED AND E-RED: A STABILIZING AQM SCHEME FOR CONGESTION CONTROL AND AVOIDANCE
Abstract
vioft2nntf2t|tblJournal|Abstract_paper|0xf4ff6035000000005a40000001000100
In today’s globally integrated Emerging technologies, the current Internet protocols uses packet-level mechanisms having end to end links to detect and react to congestion. But the regulation of best-effort traffic and congestion control is largely left to the Queue Management. Drop-tail, Random Early Detection (RED) and Random Exponential Marking are quite effective in reducing packet losses under certain level of congestion and are insufficient to ensure overall network stability. At times of high congestion, not only does the end user experience very poor performance, but also a lot of network resource is wasted due to retransmissions and aborted connections. Hence, it is required to propose a new efficient AQM (Active Queue Management) scheme known as Exponential Random Early Detection (E-RED) to reduce the packet loss even at more congestion time. The proposed probability calculation approach for congestion control in an ERED framework is implemented with probability marking capabilities. We had implemented ERED algorithm and compared with the RED algorithm during packet loss in congestion control at various time intervals. The experimental result shows that our proposed approach E-RED outperforms RED. The experimental result also shows the packet loss for the nodes at various time intervals, Queue sizes and bandwidth.

Authors
T. Revathi, M. Sushmera
Department of Information Technology, Mepco Schlenk Engineering College, Sivakasi, Tamil Nadu, India

Keywords
Congestion Control, RED, Early Congestion Notification, E-RED, AQM Schemes
Yearly Full Views
JanuaryFebruaryMarchAprilMayJuneJulyAugustSeptemberOctoberNovemberDecember
000000000000
Published By :
ICTACT
Published In :
ICTACT Journal on Communication Technology
( Volume: 1 , Issue: 2 , Pages: 128 - 133 )
Date of Publication :
June 2010
Page Views :
208
Full Text Views :

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.