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Telecommunication Systems
Published in: Telecommunication Systems 2/2017

14-09-2016

Adaptive mean queue size and its rate of change: queue management with random dropping

Authors: Karmeshu, Sanjeev Patel, Shalabh Bhatnagar

Published in: Telecommunication Systems | Issue 2/2017

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Abstract

The random early detection active queue management (AQM) scheme uses the average queue size to calculate the dropping probability in terms of minimum and maximum thresholds. The effect of heavy load enhances the frequency of crossing the maximum threshold value resulting in frequent dropping of the packets. An adaptive queue management with random dropping algorithm is proposed which incorporates information not just about the average queue size but also the rate of change of the same. Introducing an adaptively changing threshold level that falls in between lower and upper thresholds, our algorithm demonstrates that these additional features significantly improve the system performance in terms of throughput, average queue size, utilization and queuing delay in relation to the existing AQM algorithms.
previous article Design of different planar geometries of antenna arrays for isoflux radiation in GEO satellites
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Metadata
Title
Adaptive mean queue size and its rate of change: queue management with random dropping
Authors
Karmeshu
Sanjeev Patel
Shalabh Bhatnagar
Publication date
14-09-2016
Publisher
Springer US
Published in
Telecommunication Systems / Issue 2/2017
Print ISSN: 1018-4864
Electronic ISSN: 1572-9451
DOI
https://doi.org/10.1007/s11235-016-0229-4

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