Congestion control scheme performance analysis based on nonlinear red

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Congestion Control Scheme Performance Analysis Based on Nonlinear RED
Abstract:
Congestion control has become a research focus with the development of network
communication technology. Random early detection (RED) for queue management
techniques is the most effective method. However, RED is particularly sensitive to the traffic
load and the parameters of the scheme itself. When the traffic load is low, the bandwidth is
underutilized, whereas when the traffic load is high, the delay is large. This paper presents a
minimal adjustment to RED called three-section random early detection (TRED) based on
nonlinear RED, in which the packet dropping probability function is divided into three sections
to distinguish between light, moderate, and high loads to achieve a tradeoff in the delay and
the throughput between low and high traffic loads. The NS2 simulation results show that
TRED effectively improves the insufficiencies of RED to achieve better congestion control.
Additionally, very little work needs to be done to migrate from RED to TRED on Internet
routers because only the packet dropping probability profile is adjusted.