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Journal articles on the topic 'Active queue management (AQM)'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Chydziñski, Andrzej, and Łukasz Chróst. "Analysis of AQM queues with queue size based packet dropping." International Journal of Applied Mathematics and Computer Science 21, no. 3 (2011): 567–77. http://dx.doi.org/10.2478/v10006-011-0045-7.

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Analysis of AQM queues with queue size based packet dropping Queueing systems in which an arriving job is blocked and lost with a probability that depends on the queue size are studied. The study is motivated by the popularity of Active Queue Management (AQM) algorithms proposed for packet queueing in Internet routers. AQM algorithms often exploit the idea of queue-size based packet dropping. The main results include analytical solutions for queue size distribution, loss ratio and throughput. The analytical results are illustrated via numerical examples that include some commonly used blocking

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Marek, Dariusz, Jakub Szyguła, Adam Domański, Joanna Domańska, Katarzyna Filus, and Marta Szczygieł. "Adaptive Hurst-Sensitive Active Queue Management." Entropy 24, no. 3 (2022): 418. http://dx.doi.org/10.3390/e24030418.

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An Active Queue Management (AQM) mechanism, recommended by the Internet Engineering Task Force (IETF), increases the efficiency of network transmission. An example of this type of algorithm can be the Random Early Detection (RED) algorithm. The behavior of the RED algorithm strictly depends on the correct selection of its parameters. This selection may be performed automatically depending on the network conditions. The mechanisms that adjust their parameters to the network conditions are called the adaptive ones. The example can be the Adaptive RED (ARED) mechanism, which adjusts its parameter

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Szyguła, Jakub, Adam Domański, Joanna Domańska, Dariusz Marek, Katarzyna Filus, and Szymon Mendla. "Supervised Learning of Neural Networks for Active Queue Management in the Internet." Sensors 21, no. 15 (2021): 4979. http://dx.doi.org/10.3390/s21154979.

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The paper examines the AQM mechanism based on neural networks. The active queue management allows packets to be dropped from the router’s queue before the buffer is full. The aim of the work is to use machine learning to create a model that copies the behavior of the AQM PIα mechanism. We create training samples taking into account the self-similarity of network traffic. The model uses fractional Gaussian noise as a source. The quantitative analysis is based on simulation. During the tests, we analyzed the length of the queue, the number of rejected packets and waiting times in the queues. The

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4

Fajri, Misbahul, Anita Ratnasari, and Yani Prabowo. "Implementasi Active Queue Management pada Jaringan Bottleneck." InComTech : Jurnal Telekomunikasi dan Komputer 13, no. 1 (2023): 80. http://dx.doi.org/10.22441/incomtech.v13i1.16086.

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Teknologi TCP end-to-end congestion control hanya menangani kemacetan jaringan dari suatu host tetapi tidak pada jaringan atau intermediate network, oleh karena itu teknologi Active Queue Management (AQM) dikembangkan untuk mengantisipasi kemacetan didalam jaringan yaitu pada router. AQM dapat mengatasi buffer overflow pada router dan mencegah terjadinya masalah sinkronisasi pada jaringan yang padat, yaitu dengan mendeteksi sebelum terjadi kemacetan jaringan. AQM RED (random early detection) dikembangkan dengan pendekatan heuristik untuk mengantikan kekurangan mekanisme Droptail pada buffer ro

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Ryu, Seungwan, Christopher Rump, and Chunming Qiao. "Advances in Active Queue Management (AQM) Based TCP Congestion Control." Telecommunication Systems 25, no. 3/4 (2004): 317–51. http://dx.doi.org/10.1023/b:tels.0000014788.49773.70.

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6

Abualhaj, Mosleh M., Mayy M. Al-Tahrawi, Abdelrahman H. Hussein, and Sumaya N. Al-Khatib. "Fuzzy-Logic Based Active Queue Management Using Performance Metrics Mapping into Multi-Congestion Indicators." Cybernetics and Information Technologies 21, no. 2 (2021): 29–44. http://dx.doi.org/10.2478/cait-2021-0017.

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Abstract The congestion problem at the router buffer leads to serious consequences on network performance. Active Queue Management (AQM) has been developed to react to any possible congestion at the router buffer at an early stage. The limitation of the existing fuzzy-based AQM is the utilization of indicators that do not address all the performance criteria and quality of services required. In this paper, a new method for active queue management is proposed based on using the fuzzy logic and multiple performance indicators that are extracted from the network performance metrics. These indicat

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7

Baklizi, Mahmoud. "Weight Queue Dynamic Active Queue Management Algorithm." Symmetry 12, no. 12 (2020): 2077. http://dx.doi.org/10.3390/sym12122077.

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The current problem of packets generation and transformation around the world is router congestion, which then leads to a decline in the network performance in term of queuing delay (D) and packet loss (PL). The existing active queue management (AQM) algorithms do not optimize the network performance because these algorithms use static techniques for detecting and reacting to congestion at the router buffer. In this paper, a weight queue active queue management (WQDAQM) based on dynamic monitoring and reacting is proposed. Queue weight and the thresholds are dynamically adjusted based on the t

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Sana, Sabah Sabry, and Mahdi Kaittan Nada. "Grey wolf optimizer based fuzzy-PI active queue management design for network congestion avoidance." Indonesian Journal of Electrical Engineering and Computer Science (IJEECS) 18, no. 1 (2020): 199–208. https://doi.org/10.11591/ijeecs.v18.i1.pp199-208.

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Congestion is one of the most important issues in communication networks which has attracted much research attention. To ensure a stable TCP network, we can use active queue management (AQM for early congestion detection and router queue length regulation. In this study, it was proposed to use the Grey Wolf Optimizer (GWO) algorithm in designing a fuzzy proportional integral (fuzzy-PI) controller as a novel AQM for internet routers congestion control and for achieving a low steady-state error and fast response. The suggested Fuzzy logic-based network traffic control strategy permit us to deplo

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Bisoy, Sukant Kishoro, and Prasant Kumar Pattnaik. "RQ-AQM: a rate and queue-based active queue management using feedback control theory." International Journal of Communication Networks and Distributed Systems 21, no. 2 (2018): 266. http://dx.doi.org/10.1504/ijcnds.2018.094204.

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Bisoy, Sukant Kishoro, and Prasant Kumar Pattnaik. "RQ-AQM: a rate and queue-based active queue management using feedback control theory." International Journal of Communication Networks and Distributed Systems 21, no. 2 (2018): 266. http://dx.doi.org/10.1504/ijcnds.2018.10014494.

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Domański, Adam, Joanna Domańska, Tadeusz Czachórski, and Jerzy Klamka. "The use of a non-integer order PI controller with an active queue management mechanism." International Journal of Applied Mathematics and Computer Science 26, no. 4 (2016): 777–89. http://dx.doi.org/10.1515/amcs-2016-0055.

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AbstractIn this paper the performance of a fractional order PI controller is compared with that of RED, a well-known active queue management (AQM) mechanism. The article uses fluid flow approximation and discrete-event simulation to investigate the influence of the AQM policy on the packet loss probability, the queue length and its variability. The impact of self-similar traffic is also considered.

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Amigó, José M., Guillem Duran, Ángel Giménez, José Valero, and Oscar Martinez Bonastre. "Modeling a New AQM Model for Internet Chaotic Behavior Using Petri Nets." Applied Sciences 11, no. 13 (2021): 5877. http://dx.doi.org/10.3390/app11135877.

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Formal modeling is considered one of the fundamental phases in the design of network algorithms, including Active Queue Management (AQM) schemes. This article focuses on modeling with Petri nets (PNs) a new scheme of AQM. This innovative AQM is based on a discrete dynamical model of random early detection (RED) for controlling bifurcations and chaos in Internet congestion control. It incorporates new parameters (α,β) that make possible better stability control over oscillations of an average queue length (AQL) at the router. The PN is validated through the matrix equation approach, reachabilit

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Tabash, I. K., M. A. Mamun, and A. Negi. "A Fuzzy Logic Based Network Congestion Control Using Active Queue Management Techniques." Journal of Scientific Research 2, no. 2 (2010): 273–84. http://dx.doi.org/10.3329/jsr.v2i2.2786.

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Conventional IP routers are passive devices that accept packets and perform the routing function on any input. Usually the tail-drop (TD) strategy is used where the input which exceeds the buffer capacity are simply dropped. In active queue management (AQM) methods routers manage their buffers by dropping packets selectively. We study one of the AQM methods called as random exponential marking (REM). We propose an intelligent approach to AQM based on fuzzy logic controller (FLC) to drop packets dynamically, keep the buffer size around desired level and also prevent buffer overflow. Our propose

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Hassan, Samuuel Oluwatosin, Vivian Ogochukwu Nwaocha, Adewole Usman Rufai, et al. "Random early detection-quadratic linear: an enhanced active queue management algorithm." Bulletin of Electrical Engineering and Informatics 11, no. 4 (2022): 2262–72. http://dx.doi.org/10.11591/eei.v11i4.3875.

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This paper identifies the lone linear drop function for computing the dropping probability between certain queue threshold values as a major weakness for the random early detection (RED) algorithm as it leads to large delay and queue instability. To address this concern, we propose an enhanced RED-based algorithm called random early detection-quadratic linear (referred to as “RED-QL”) active queue management (AQM) which leveraged the benefit of a quadratic packet drop function for a light-to moderate traffic load conditions together with a linear packet drop function for a heavy traffic load c

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Samuel, Oluwatosin Hassan, Ogochukwu Nwaocha Vivian, Usman Rufai Adewole, et al. "Random early detection-quadratic linear: an enhanced active queue management algorithm." Bulletin of Electrical Engineering and Informatics 11, no. 4 (2022): 2262~2272. https://doi.org/10.11591/eei.v11i4.3875.

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This paper identifies the lone linear drop function for computing the dropping probability between certain queue threshold values as a major weakness for the random early detection (RED) algorithm as it leads to large delay and queue instability. To address this concern, we propose an enhanced RED-based algorithm called random early detection-quadratic linear (referred to as “RED-QL”) active queue management (AQM) which leveraged the benefit of a quadratic packet drop function for a light-to moderate traffic load conditions together with a linear packet drop function for a heavy tr

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Van Dien, VU. "ENHANCING NETWORK PERFORMANCE WITH IMPROVED RANDOM EARLY DETECTION." Vinh University Journal of Science 54, no. 1A (2025): 5–13. https://doi.org/10.56824/vujs.2024a083a.

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Congestion has become an important issue affecting the performance of network systems. Active Queue Management (AQM) algorithms are crucial in ensuring network stability. The first active queue management technique deployed to control congestion was Random Early Detection (RED). RED compares the average queue length with predefined thresholds to mark or discard packets. DyRED [1] has improved RED based on changing the upper threshold. The author proposes an enhanced DyRED algorithm called ImRED (Improved DyRED) to enhance network performance further. Through simulation evaluation on the NS2, t

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Chydzinski, Andrzej, and Blazej Adamczyk. "On the Influence of AQM on Serialization of Packet Losses." Sensors 23, no. 4 (2023): 2197. http://dx.doi.org/10.3390/s23042197.

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We study the influence of the active queue management mechanism based on the queue size on the serialization of packet losses, i.e., the occurrences of losses in long, consecutive series. We use a traffic model able to mimic precisely the autocorrelation function of traffic, which is known to be far from zero in packet networks. The main contribution is a theorem on the burst ratio parameter, describing the serialization of losses, proven for an arbitrary function assigning drop probabilities to queue sizes. In numerical examples, we show the impact of the autocorrelation strength, drop probab

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Barczyk, Marek, and Andrzej Chydzinski. "AQM based on the queue length: A real-network study." PLOS ONE 17, no. 2 (2022): e0263407. http://dx.doi.org/10.1371/journal.pone.0263407.

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Active Queue Management (AQM) is recommended by Internet Engineering Task Force to mitigate the bufferbloat phenomenon in the Internet. In this paper, we show the results of comprehensive measurements carried out in our university network, in which a device with an AQM algorithm, designed and programmed for this purpose, was running. The implemented AQM algorithm was based on the dropping function, i.e. arriving packets were dropped randomly, with the probability being a function of the queue length. Several different dropping function forms, proposed in the networking literature, were used, i

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Zheng, Weimin, Yanxin Li, Xiaowen Jing, and Shangkun Liu. "Adaptive Finite-Time Congestion Control for Uncertain TCP/AQM Network with Unknown Hysteresis." Complexity 2020 (July 27, 2020): 1–9. http://dx.doi.org/10.1155/2020/4138390.

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The issue of adaptive practical finite-time (FT) congestion control for the transmission control protocol/active queue management (TCP/AQM) network with unknown hysteresis and external disturbance is considered in this paper. A finite-time congestion controller is designed by the backstepping technique and the adaptive neural control method. This controller guarantees that the queue length tracks the desired queue in finite-time, and it is semiglobally practical finite-time stable (SGPFS) for all the signals of the closed-loop system. At last, the simulation results show that the control strat

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Wang, Dazhong, and Shujing Wu. "Design of the Congestion Control for TCP/AQM Network with Time-Delay." Mathematical Problems in Engineering 2014 (2014): 1–7. http://dx.doi.org/10.1155/2014/834698.

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The purpose of this paper is to design congestion controller for TCP/AQM (transmission control protocol/active queue management) networks using model following control; the equilibrium of a class of TCP/AQM networks with time-delay is investigated, and the effect of communication time-delay on the stability is addressed. The features of this design method are bounded property of the internal states of the control system being given and the utility of this control. Such design exhibits important attributes including fast convergence with high accuracy to a desired queue length. Simulation resul

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Hamadneh, Nabhan, Mamoon Obiedat, Ahmad Qawasmeh, and Mohammad Bsoul. "HRED, An Active Queue Management Algorithm for TCP Congestion Control." Recent Patents on Computer Science 12, no. 3 (2019): 212–17. http://dx.doi.org/10.2174/2213275912666181205155828.

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Background: Active Queue Management (AQM) is a TCP congestion avoidance approach that predicts congestion before sources overwhelm the buffers of routers. Random Early Detection (RED) is an AQM strategy that keeps history of queue dynamics by estimating an average queue size parameter avg and drops packets when this average exceeds preset thresholds. The parameter configuration in RED is problematic and the performance of the whole network could be reduced due to wrong setup of these parameters. Drop probability is another parameter calculated by RED to tune the drop rate with the aggressivene

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Wei, Hai Mei. "A Research of Network Congestion Control Based on Fuzzy PID Arithmetic." Advanced Materials Research 403-408 (November 2011): 266–69. http://dx.doi.org/10.4028/www.scientific.net/amr.403-408.266.

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This paper first introduces definition and cause for congestion control as well as TCP/IP congestion control mechanism, focusing on introducing active queue management arithmetic in IP congestion control mechanism, and points out its important function in congestion control. The method of active queue management arithmetic which solves full queue of routers is dropping arrived data packets before the queue is full so that end-note is able to respond before the queue overflows, avoiding the actual occurrence of congestion. RED arithmetic is a famous AQM arithmetic and congestion control based o

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Jing, Qi, and Ming Ming Gu. "Active Queue Management Based on State Variable Feedback Control." Applied Mechanics and Materials 397-400 (September 2013): 2077–80. http://dx.doi.org/10.4028/www.scientific.net/amm.397-400.2077.

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A new AQM algorithm based on state variable feedback control (SPC) is proposed. The future dynamic queue length in data buffer predicted by state space model is successfully introduced into feedback data's advanced prediction to compensate feedback delay. Finally, the control requirement of congestion is converted to optimal control objective function, and drop probability is obtained by solving the optimal problem. The simulation results show that the queue length with SPAQM algorithm reaches the desired value with minimal tracking error and lower drop probability. SPAQM algorithm has better

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Berbek, Mohammed I., and Ahmed A. Oglah. "Adaptive neuro-fuzzy controller trained by genetic-particle swarm for active queue management in internet congestion." Indonesian Journal of Electrical Engineering and Computer Science 26, no. 1 (2022): 229–42. https://doi.org/10.11591/ijeecs.v26.i1.pp229-242.

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Routers are vital during network congestion. All routers have input and output packet buffers. Various congestion control strategies have been suggested. Some controller-based proportional-integral derivative (PIDs) have recently been offered as active queue management (AQM) solutions to alleviate the deterioration of transmission control protocol (TCP) congestion management system performance. However, the time delay is large, the data retention decreases, and oscillation occurs, suggesting that the present PIDcontroller is unable to fulfill quality of service (QoS) criteria. Some research is

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Bandhaso, Carla Prastika, and Yudi Sutanto. "Analisis Dan Implementasi Metode Random Early Detection (Red) Pada Jaringan TCP/IP." Respati 17, no. 2 (2022): 51. http://dx.doi.org/10.35842/jtir.v17i2.458.

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INTISARIPenggunaan internet terus mengalami perkembangan yang sangat pesat. Semakin bertambahnya pengguna internet mengakibatkan semakin meningkatnya beban pada jaringan, sehingga sering terjadi kongesti. Seperti pada percobaan sebelum diimplementasikannya metode RED, kinerja jaringan mengalami penurunan. Hal inilah yang merupakan salah satu permasalahan yang harus diselesaikan. TCP/IP merupakan standar komunikasi data yang digunakan dalam proses tukar-menukar data dari satu komputer ke komputer lain pada jaringan internet. Pada jaringan TCP/IP ini diperlukan suatu metode pengendali antrian (c

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Ignaciuk, P., and M. Karbowańczyk. "Active queue management with discrete sliding modes in TCP networks." Bulletin of the Polish Academy of Sciences Technical Sciences 62, no. 4 (2014): 701–11. http://dx.doi.org/10.2478/bpasts-2014-0076.

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Abstract In this paper, a new active queue management (AQM) algorithm for data traffic control in TCP/IP networks is developed. The algorithm design is based on the principles of discrete sliding-mode control. Unlike majority of earlier studies, the design procedure considers the effects of both non-negligible delay in transferring data and feedback information and unpredictable capacity variations. The switching function is selected to incorporate a delay compensation mechanism, which ensures efficient network operation even for large bandwidthdelay product connections. The proposed algorithm

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Jiang, Fuchun, Chenwei Feng, Chen Zhu, and Yu Sun. "Performance Analysis of Active Queue Management Algorithm Based on Reinforcement Learning." Journal Européen des Systèmes Automatisés 53, no. 5 (2020): 637–44. http://dx.doi.org/10.18280/jesa.530506.

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In the information society, data explosion has led to more congestion in the core network, dampening the network performance. Random early detection (RED) is currently the standard algorithm for active queue management (AQM) recommended by the Internet Engineering Task Force (IETF). However, RED is particularly sensitive to both service load and algorithm parameters. The algorithm cannot fully utilize the bandwidth at a low service load, and might suffer a long delay at a high service load. This paper designs the reinforcement learning AQM (RLAQM), a simple and practical variant of RED, which

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Saima Anwar, Sana Akhtar, and Gra Badshah. "Evaluation of Active Queue Management Methods based on Integrated AHP, TOPSIS and Fuzzy TOPSIS." Journal of Computing & Biomedical Informatics 3, no. 01 (2022): 267–81. http://dx.doi.org/10.56979/301/2022/39.

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The Evaluation and selection of Active Queue Management (AQM) methods are a complicated and challenging task. Improper AQM method can cause up-mark and network malfunctioning. To achieve satisfactory performance, various evaluation criteria need to be considered. In order to find the limitations of how the criteria are determined, there is a need to find out how their procedures change according to the evaluation and benchmarking process of AQM. This article focuses on the evaluation and benchmarking of Active Queue Management methods using Multi-Criteria Decision-Making (MCDM) techniques. MCD

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I. Berbek, Mohammed, and Ahmed A. Oglah. "Adaptive neuro-fuzzy controller trained by genetic-particle swarm for active queue management in internet congestion." Indonesian Journal of Electrical Engineering and Computer Science 26, no. 1 (2022): 229. http://dx.doi.org/10.11591/ijeecs.v26.i1.pp229-242.

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Routers are vital during network congestion. All routers have input and output packet buffers. V<span lang="EN-US">Various congestion control strategies have been suggested. Some controller-based proportional-integral derivative (PIDs) have recently been offered as active queue management (AQM) solutions to alleviate the deterioration of transmission control protocol (TCP) congestion management system performance. However, the time delay is large, the data retention decreases, and oscillation occurs, suggesting that the present PID-controller is unable to fulfill quality of service (QoS)

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30

ABDEL-JABER, HUSSEIN, ABDULAZIZ SHEHAB, MOHAMED BARAKAT, and MAGDI RASHAD. "IGRED: An Improved Gentle Random Early Detection Method for Management of Congested Networks." Journal of Interconnection Networks 19, no. 02 (2019): 1950004. http://dx.doi.org/10.1142/s021926591950004x.

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Controlling congested router buffers of a network has a crucial role in improving network’s performance. This paper proposes a novel Active Queue Management (AQM) method named Improved Gentle Random Early Detection (IGRED) that based on GRED algorithm, which counted as one of the popular AQM methods. The proposed is mainly developed to overcome the problems faced with classic GRED. The initial packet-dropping probability depends on several parameters such as the average queue length, maximum value of packet dropping probability, minimum and maximum thresholds, etc. IGRED reduces its reliance o

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Abdel-Jaber, Hussein. "An Exponential Active Queue Management Method Based on Random Early Detection." Journal of Computer Networks and Communications 2020 (May 22, 2020): 1–11. http://dx.doi.org/10.1155/2020/8090468.

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Congestion is a key topic in computer networks that has been studied extensively by scholars due to its direct impact on a network’s performance. One of the extensively investigated congestion control techniques is random early detection (RED). To sustain RED’s performance to obtain the desired results, scholars usually tune the input parameters, especially the maximum packet dropping probability, into specific value(s). Unfortunately, setting up this parameter into these values leads to good, yet biased, performance results. In this paper, the RED-Exponential Technique (RED_E) is proposed to

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Karande, Shirish S., Kiran Misra, and Hayder Radha. "Survival of the Fittest: An Active Queue Management Technique for Noisy Packet Flows." Advances in Multimedia 2007 (2007): 1–10. http://dx.doi.org/10.1155/2007/64695.

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We present a novel active queue management (AQM) technique to demonstrate the efficacy of practically harnessing the predictive utility of SSR indications for improved video communication. We consider a network within which corrupted packets are relayed over multiple hops, but a certain percentage of packets needs to be dropped at an intermediate node due to congestion. We propose an AQM technique,survival of the fittest(SOTF), to be employed at the relay node, within which we use packet state information, available from SSR indications and checksums, to drop packets with the highest corruptio

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El, Fezazi Nabil, Haoussii Fatima El, Houssaine Tissir El, Fernando Augusto Bender, and Teresa Alvarez. "Multiclass AQM on a TCP/IP router: A control theory approach." International Journal of Robust and Nonlinear Control 29, no. 6 (2019): 1719–33. https://doi.org/10.1002/rnc.4463.

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Active queue management (AQM) is a well-known technique to improve routing performance under congested traffic conditions. It is often deployed to regulate queue sizes, thus aiming for constant transmission delay. This work addresses AQM using an approach based on control theory ideas. Compared with previous results in the literature, the novelty is the consideration of heterogeneous traffic, ie, multiclass traffic. Thus, each traffic class may have different discarding policies, queue sizes, and bandwidth share. This feature brings the proposal nearer to real network management demands than p

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Kennedy, Okokpujie, Emmanuel Chukwu, Olamilekan Shobayo, Etinosa Noma-Osaghae, Imhade Okokpujie, and Modupe Odusami. "Comparative analysis of the performance of various active queue management techniques to varying wireless network conditions." International Journal of Electrical and Computer Engineering (IJECE) 9, no. 1 (2019): 359–68. https://doi.org/10.11591/ijece.v9i1.pp359-368.

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This paper demonstrates the robustness of active queue management techniques to varying load, link capacity and propagation delay in a wireless environment. The performances of four standard controllers used in Transmission Control Protocol/Active Queue Management (TCP/AQM) systems were compared. The active queue management controllers were the Fixed-Parameter Proportional Integral (PI), Random Early Detection (RED), Self-Tuning Regulator (STR) and the Model Predictive Control (MPC). The robustness of the congestion control algorithm of each technique was documented by simulating the varying c

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Yousra, Abd Mohammed, H. Abood Layla, and Naji Kadhim Nahida. "Design and simulation an optimal enhanced PI controller for congestion avoidance in TCP/AQM system." TELKOMNIKA 21, no. 05 (2023): 997–1004. https://doi.org/10.12928/telkomnika.v21i5.24872.

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In this paper, snake optimization algorithm (SOA) is used to find the optimal gains of an enhanced controller for controlling congestion problem in computer networks. M-file and Simulink platform is adopted to evaluate the response of the active queue management (AQM) system, a comparison with two classical controllers is done, all tuned gains of controllers are obtained using SOA method and the fitness function chose to monitor the system performance is the integral time absolute error (ITAE). Transient analysis and robust analysis is used to show the proposed controller performance, two robu

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Uppe, Nanaji, M. Sagar, Prasad K. Vara, and Ganesh Boddeda. "Impact on QoS with active queue management techniques in AODV routing protocol in MANETs." i-manager's Journal on Mobile Applications and Technologies 11, no. 2 (2024): 26. https://doi.org/10.26634/jmt.11.2.21527.

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Active Queue Management (AQM) techniques are essential for addressing congestion in Mobile Ad Hoc Networks (MANETs), where the Ad hoc On-Demand Distance Vector (AODV) routing protocol is frequently used. AODV is a reactive routing protocol that establishes routes only when required, making it efficient in highly dynamic network environments. However, its performance can be adversely affected by congestion, resulting in packet loss, increased delays, and reduced throughput, especially in networks with limited resources and high traffic. This paper examines the integration of AQM techniques, spe

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Zulai, Khan, and Raj Rashmi. "Comparative Analysis of Green Algorithm within Active Queue Management for Mobile Ad Hoc Network." International Journal of Trend in Scientific Research and Development 3, no. 4 (2019): 935–38. https://doi.org/10.31142/ijtsrd23950.

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The Queue Management Techniques play an important role in improving the Quality of Service in Mobile Ad hoc Networks. The need of congestion control and Queue management is inevitable in Mobile Ad hoc Network. Understanding and analyzing the latest AQM Techniques give an insight to improving throughput, packet loss rate, average end to end delay and other parameters that severely affect the performance. The performance of mobile ad hoc networks is evaluated by varying the Channel Error Rate, Bandwidth and Delay at different fragment sizes of different traffic flows. The proposed method perform

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Domańska, J., A. Domański, T. Czachórski, and J. Klamka. "Fluid flow approximation of time-limited TCP/UDP/XCP streams." Bulletin of the Polish Academy of Sciences Technical Sciences 62, no. 2 (2014): 217–25. http://dx.doi.org/10.2478/bpasts-2014-0021.

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Abstract This article presents the use of fluid flow approximation to model interactions between a set of TCP, UDP and XCP flows in the environment of IP routers using AQM (Active Queue Management) algorithms to control traffic congestion. In contrast to other works, independent UDP and TCP streams are considered and the model allows to start and end data transmissions in TCP, UDP and XCP streams at any time moment. It incorporates several Active Queue Management mechanisms: RED, NLRED, CHOKe.

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Sabry, Sana Sabah, and Nada Mahdi Kaittan. "Grey wolf optimizer based fuzzy-PI active queue management design for network congestion avoidance." Indonesian Journal of Electrical Engineering and Computer Science 18, no. 1 (2020): 199. http://dx.doi.org/10.11591/ijeecs.v18.i1.pp199-208.

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<p>Congestion is one of the most important issues in communication networks which has attracted much research attention. To ensure a stable TCP network, we can use active queue management (AQM for early congestion detection and router queue length regulation. In this study, it was proposed to use the Grey Wolf Optimizer (GWO) algorithm in designing a fuzzy proportional integral (fuzzy-PI) controller as a novel AQM for internet routers congestion control and for achieving a low steady-state error and fast response. The suggested Fuzzy logic-based network traffic control strategy permit us

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Grazia, Carlo Augusto, Natale Patriciello, Martin Klapez, and Maurizio Casoni. "Transmission Control Protocol and Active Queue Management together against congestion: cross-comparison through simulations." SIMULATION 95, no. 10 (2018): 979–93. http://dx.doi.org/10.1177/0037549718814626.

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Most Internet traffic is carried by the Transmission Control Protocol (TCP) nowadays, even in the case of real-time services. Detecting and mitigating the congestion is one of the primary tasks of this protocol, in fact, different TCP versions are defined by their congestion control algorithms. Furthermore, Active Queue Management (AQM) algorithms share the same goal of congestion mitigation with TCP; in particular, the most efficient congestion control occurs when AQM and TCP work together. This paper presents a brief survey and a cross-comparison of the latest and most important TCP and AQM

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Satish, Deol, Jonathan Kua, and Shiva Raj Pokhrel. "Active Queue Management in L4S with Asynchronous Advantage Actor-Critic: A FreeBSD Networking Stack Perspective." Future Internet 16, no. 8 (2024): 265. http://dx.doi.org/10.3390/fi16080265.

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Bufferbloat is one of the leading causes of high data transmission latency and jitter on the Internet, which severely impacts the performance of low-latency interactive applications such as online streaming, cloud-based gaming/applications, Internet of Things (IoT) applications, voice over IP (VoIP), real-time video conferencing, and so forth. There is currently a pressing need for developing Transmission Control Protocol (TCP) congestion control algorithms and bottleneck queue management schemes that can collaboratively control/reduce end-to-end latency, thus ensuring optimal quality of servi

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Khatari, Maimuna, A. A. Zaidan, B. B. Zaidan, O. S. Albahri, and M. A. Alsalem. "Multi-Criteria Evaluation and Benchmarking for Active Queue Management Methods: Open Issues, Challenges and Recommended Pathway Solutions." International Journal of Information Technology & Decision Making 18, no. 04 (2019): 1187–242. http://dx.doi.org/10.1142/s0219622019300039.

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The evaluation and benchmarking processes of active queue management (AQM) methods are complicated and challenging. Several evaluation criteria/metrics must be considered before an AQM method can yield satisfactory performance using specific metric(s). Further investigations are required to highlight the limitations of how criteria/metrics are determined and how their procedures accord with the evaluation and benchmarking processes of AQM. In this paper, we presented comprehensive insights into the multi-criteria evaluation and benchmarking of AQM methods based on two critical directions. Firs

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Santos, Carlos Eduardo Maffini, Carlos Alexandre Gouvea da Silva, and Carlos Marcelo Pedroso. "Improving Perceived Quality of Live Adaptative Video Streaming." Entropy 23, no. 8 (2021): 948. http://dx.doi.org/10.3390/e23080948.

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Quality of service (QoS) requirements for live streaming are most required for video-on-demand (VoD), where they are more sensitive to variations in delay, jitter, and packet loss. Dynamic Adaptive Streaming over HTTP (DASH) is the most popular technology for live streaming and VoD, where it has been massively deployed on the Internet. DASH is an over-the-top application using unmanaged networks to distribute content with the best possible quality. Widely, it uses large reception buffers in order to keep a seamless playback for VoD applications. However, the use of large buffers in live stream

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Mahawish, Amar A., and Hassan J. Hassan. "Survey on: A variety of AQM algorithm schemas and intelligent techniques developed for congestion control." Indonesian Journal of Electrical Engineering and Computer Science 23, no. 3 (2021): 1419. http://dx.doi.org/10.11591/ijeecs.v23.i3.pp1419-1431.

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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 conges

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Mohammed, Qasim Sulttan, Hadi Jaber Manal, and Waley Shneen Salam. "Proportional-integral genetic algorithm controller for stability of TCP network." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 6 (2020): 6225–32. https://doi.org/10.11591/ijece.v10i6.pp6225-6232.

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The life development and increase the number of internet users imposed an increase in data circulating on the internet network and then make the network more congestion. As a result of all this, some problems arose such as time delay in packets delivery, loss of packets, and exceed the buffer capacity for the middle routers. To overcome those problems, transmission control protocol and active queue management (TCP/AQM) have been used. AQM is the main approach used to control congestion and overcome those problems to improve network performance. This work proposes to use the proportional-integr

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Zhu, Haiting, Hu Sun, Yixin Jiang, Gaofeng He, Lu Zhang, and Yin Lu. "A Sketch-Based Fine-Grained Proportional Integral Queue Management Method." Axioms 12, no. 9 (2023): 814. http://dx.doi.org/10.3390/axioms12090814.

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The phenomenon “bufferbloat” occurs when the buffers of the network intermediary nodes fill up, causing long queuing delays. This has a significant negative impact on the quality of service of network applications, particularly those that are sensitive to time delay. Many active queue management (AQM) algorithms have been proposed to overcome this problem. Those AQMs attempt to maintain minimal queuing delays and good throughput by purposefully dropping packets at network intermediary nodes. However, the existing AQM algorithms mostly drop packets randomly based on a certain metric such as que

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Karam, Zeyad A. "Hybrid Fuzzy Congestion Controllers for Computer Networks Tuned by Modified Particle Swarm Optimization." International Journal of Advances in Telecommunications, Electrotechnics, Signals and Systems 7, no. 2 (2018): 17. http://dx.doi.org/10.11601/ijates.v7i2.250.

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One of the most debated issues nowadays is the quality of computer network service. The best internet service must provide a fast processing of the traffic. Each router has a queue of packets that provides a buffer space, where the packets wait for processing. Transmission Control Protocol (TCP) is a packets congestion control theory. Active Queue Management (AQM) is a mechanisms proposed to employ at gateways to improve the performance of TCP congestion control. AQM mechanisms aim to provide high link utilization with low loss rate and low queuing delay while reacting to load changes quickly.

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Manal, Hadi Jaber, Kadhim Oudah Manal, and Waley Shneen Salam. "Simulation model of ANN and PID controller for TCP/AQM wireless networks by using MATLAB/Simulink." Simulation model of ANN and PID controller for TCP/AQM wireless networks by using MATLAB/Simulink 30, no. 2 (2023): 739–47. https://doi.org/10.11591/ijeecs.v30.i2.pp739-747.

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The wireless network transmission control protocol/active queue management (TCP/AQM) is a network that was chosen as a topic for research a basis is laid to simulate the proposed network and to conduct the simulation under certain conditions. To manage the queue control protocol (TCP/AQM) was chosen. The solution for many modern systems depends on placing additional units called controllers, which work to improve the performance of the work of the systems. The current simulation system can be described according to the test cases that were conducted, where four test cases were identified with

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Zeng, Li, Hong Ni, and Rui Han. "The Yellow Active Queue Management Algorithm in ICN Routers Based on the Monitoring of Bandwidth Competition." Electronics 10, no. 7 (2021): 806. http://dx.doi.org/10.3390/electronics10070806.

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Deploying the active queue management (AQM) algorithm on a router is an effective way to avoid packet loss caused by congestion. In an information-centric network (ICN), routers not only play a role of packets forwarding but are also content service providers. Congestion in ICN routers can be further summarized as the competition between the external forwarding traffic and the internal cache response traffic for limited bandwidth resources. This indicates that the traditional AQM needs to be redesigned to adapt to ICN. In this paper, we first demonstrated mathematically that allocating more ba

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Yousif, Ayman Basheer, Hassan Jaleel Hassan, and Gaida Muttasher. "Applying reinforcement learning for random early detaction algorithm in adaptive queue management systems." Indonesian Journal of Electrical Engineering and Computer Science 26, no. 3 (2022): 1684–91. https://doi.org/10.11591/ijeecs.v26.i3.pp1684-1691.

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Recently, the use of internet has been increased all around the hose, the companies, government departments and the video games and so on. Thus, this increased the traffic used in the networks, which generated congestion issues and sent packet drop in the nodes. To solve this problem, certain algorithms are used. The Active queue management is one of the most important algorithms that helps with this issue. For an effective network management, the RL was used, and it will adapt with the parameters of algorithms. Where the suggested algorithm deep Q-networks (DQN) depends on the reinforcement l

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