STUDY, IMPROVE RED QUEUE STRATEGY  BASED ON FINE-TUNING THE LOWER THRESHOLD

Vũ Văn Diện; Lê Hoàng Hiệp

doi:10.34238/tnu-jst.5180

STUDY, IMPROVE RED QUEUE STRATEGY BASED ON FINE-TUNING THE LOWER THRESHOLD

About this article

Received: 19/10/21 Revised: 19/04/22 Published: 21/04/22

Authors

1. Vu Van Dien, TNU - University of Information and Communication Technology
2. Le Hoang Hiep , TNU - University of Information and Communication Technology

Abstract

Over the years, congestion has become a major problem affecting the Internet leading to increased packet loss rates and delay. Dynamic queue management (AQM) algorithms have been introduced to control congestion. RED (Random Early Detection) is the first dynamic queue management technique implemented for congestion avoidance control. RED is based on comparing the average queue length with upper and lower thresholds to mark or discard packets. Although, many researchers have come up with improved algorithms for RED, RED still continues to be researched to improve the performance of RED. In this paper, the authors propose an improved RED algorithm called ThRED (Theshold RED) based on lower threshold fine-tune. Through simulation evaluation on the NS2 simulator, the authors found that ThRED gave better results than RED in terms of packet loss and average queue delay.

Keywords

Active queue management; Congestion; Congestion avoid control; RED algorithm; Lower Theshold

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DOI: https://doi.org/10.34238/tnu-jst.5180

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