Queue Management Algorithm for Satellite Networks Based on Traffic Prediction

Bie, Yuxia; Zhi, Hu; Chen, Jiamei

doi:10.1109/access.2022.3163519

Cited by 11 publications

(3 citation statements)

References 21 publications

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“…Authors in [27] developed an improved flavor of RED, named improved adaptive RED algorithm. Unlike RED, which performs the process of computing the drop probability bymeans-of a linear function, the improved adaptive RED uses a cubic function expressed as follows:…”

Section: Related Workmentioning

confidence: 99%

Double Function Random Early Detection (DFRED): A Revised RED-Oriented Algorithm

Hassan,

Ajaegbu,

Solanke

2023

Iraqi Journal of Science

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Dropping packets with a linear function between two configured queue thresholds in Random Early Detection (RED) model is incapable of yielding satisfactory network performance. In this article, a new enhanced and effective active queue management algorithm, termed Double Function RED (DFRED in short) is developed to further curtail network delay. Specifically, DFRED algorithm amends the packet dropping probability approach of RED by dividing it into two sub-segments. The first and second partitions utilizes and implements a quadratic and linear increase respectively in the packet dropping probability computation to distinguish between two traffic loads: low and high. The ns-3 simulation performance evaluations clearly indicate that DFRED algorithm significantly controls the average queue occupancy and yields a reasonable gain in end-to-end-delay under different network conditions.

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Section: Related Workmentioning

confidence: 99%

Double Function Random Early Detection (DFRED): A Revised RED-Oriented Algorithm

Hassan,

Ajaegbu,

Solanke

2023

Iraqi Journal of Science

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“…Some researchers focused on routing computation and produced some exciting work [11][12][13]. Furthermore, queuing delay is an essential factor affecting time-sensitive services, which enhances the routing problem into a trade-off between the hop number and queuing delay of paths [14,15]. Some researchers focused on the joint routing and queuing scheduling for time-sensitive services [9,16].…”

Section: Introductionmentioning

confidence: 99%

Time-Sensitive Networking Mechanism Aided by Multilevel Cyclic Queues in LEO Satellite Networks

Ma¹,

Guan

et al. 2023

Electronics

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With the proliferation of low-Earth-orbit (LEO) satellites, existing satellite networks need to be enhanced to better handle time-sensitive flows (TSFs). However, the migration of time-sensitive network (TSN) technology to satellite networks is challenged by the large space–time range and limited on-board resources, particularly in providing differentiated quality-of-service guarantees for multilevel TSFs. To address this issue, we propose a multilevel queue-based TSN technique that uses latency requirements as an indicator for traffic scheduling. This approach improves the time-sensitive transmission capability of services with different requirements in LEO satellite networks. We conducted a simulation evaluation under a Walker constellation, and the results demonstrate that our proposed method could significantly improve network throughput, and reduce the packet loss ratio by 90% and the time-out ratio by 14.5%. Additionally, our proposed mechanism could accommodate more TSFs with acceptable latency requirements.

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“…The selfcomparison information stream is predictable, and the expected network traffic can foresee the burst state of queueing. The foundation of a high-accuracy traffic expectation model and an examination of a line-the-board calculation for satellite organizations given traffic forecast can thus control network blockage and limit line length ahead of time [2]. The great impediment looked at during the shrewd lining frameworks, for example, openness to a shifted client base, decreased cost of the organization, convenience utility, diminished the above and log jam related with misleading solicitations, should be evaluated with consideration.…”

Section: Introductionmentioning

confidence: 99%

A Brief Review on Queue Management Systems for different Applications

2023

TBEAH

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Queue management technology helps to reduce actual and predicted customer wait times, improve customer satisfaction, and provide the data to your managers needed to further optimize service, Queue Management System (QMS)presents a viable solution for different applications. It is employed to manage lines in a queue area in a variety of circumstances and locales. The article discusses the concepts of Queue Management Systems for Hospitals, Satellite Networks Based on Traffic Prediction, using Deep Neural Networks (DNN). Managing high patient loads in tertiary care hospitals represents a significant challenge in streamlining health service delivery. At several hospital service locations, including the registration, lab, and bill payment counters, patients must frequently wait in line. In these circumstances, Queue Management Systems (QMS) offer a practical patient management option. Satellite Internet the Adaptive Random Early Detection (ARED) queue management algorithm is proposed to be improved by traffic prediction based on a dynamic triple exponential smoothing model, smoothing coefficient optimization of the model using a differential evolutionary algorithm, and a cubic function based on traffic prediction. Customers and the administrative staff of the company can use a queue management system that uses the Open-CV platform and CNN algorithm for image processing, together with real-time person detection and people count recording. This essay also discusses several techniques in relation to their applications. With services that have medium to lengthy waiting periods, the proposed method seeks to reduce customer discontent. Keyword : Adaptive random early detection, CNN image processing, cubic function, differential evolution algorithm, dynamic triple exponential smoothing model, System for Managing Hospitals.

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Queue Management Algorithm for Satellite Networks Based on Traffic Prediction

Cited by 11 publications

References 21 publications

Double Function Random Early Detection (DFRED): A Revised RED-Oriented Algorithm

Double Function Random Early Detection (DFRED): A Revised RED-Oriented Algorithm

Time-Sensitive Networking Mechanism Aided by Multilevel Cyclic Queues in LEO Satellite Networks

A Brief Review on Queue Management Systems for different Applications

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