Stability analysis of PD AQM control for delay models of TCP networks

Puerto-Pina, Adrian; Melchor-Aguilar, Daniel

doi:10.1080/00207179.2020.1849804

Cited by 4 publications

(1 citation statement)

References 15 publications

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“…The PD-AQM [33], [34] controller algorithm was used based on TCP window size and current queue length within time. The value of current queue length q(t) change based on the number of applications flow, window size w(t) and, RTT (4), where the RTT is measured by both propagation delay and queuing delay.…”

Section: Closed-loop Controllermentioning

confidence: 99%

Survey on: A variety of AQM algorithm schemas and intelligent techniques developed for congestion control

Mahawish

Hassan

2021

IJEECS

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The congestion on the internet is the main issue that affects the performance of transition data over the network. An algorithm for congestion control is required to keep any network efficient and reliable for transfer traffic data of the users. Many Algorithms had been suggested over the years to improve the control of congestion that occurs in the network such as drop tail packets. Recently there are many algorithms have been developed to overcome the drawback of the drop tail procedure. One of the important algorithms developed is active queue management (AQM) that provides efficient congestion control by reducing drop packets, this technique considered as a base for many other congestion control algorithms schema. It works at the network core (router) for controlling the drop and marking of packets in the router's buffer before the congestion inception. In this study, a comprehensive survey is done on the AQM Algorithm schemas that proposed and modification these algorithms to achieve the best performance, the classification of AQM algorithms based on queue length, queue delay, or both. The advantages and limitations of each algorithm have been discussed. Also, debate the intelligent techniques procedure with AQM algorithm to achieve optimization in performance of algorithm operation. Finally, the comparison has been discussed among algorithms to find the weakness and powerful of each one based on different metrics.

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Section: Closed-loop Controllermentioning

confidence: 99%