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An analytic model for Throughput Optimal Distributed Coordination Function (TO-DCF)

TO-DCF, a new backoff scheme for 802.11, has the potential to significantly increase throughput in dense wireless LANs while also opportunistically favouring nodes with heavier traffic loads and/or better channel conditions. In this paper we present an analytical model to investigate the behaviour a...

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Detalles Bibliográficos
Autores principales: Fitzgerald, Emma, Körner, Ulf, Landfeldt, Bjorn
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5575083/
https://www.ncbi.nlm.nih.gov/pubmed/28932096
http://dx.doi.org/10.1007/s11235-017-0275-6
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author Fitzgerald, Emma
Körner, Ulf
Landfeldt, Bjorn
author_facet Fitzgerald, Emma
Körner, Ulf
Landfeldt, Bjorn
author_sort Fitzgerald, Emma
collection PubMed
description TO-DCF, a new backoff scheme for 802.11, has the potential to significantly increase throughput in dense wireless LANs while also opportunistically favouring nodes with heavier traffic loads and/or better channel conditions. In this paper we present an analytical model to investigate the behaviour and performance of the TO-DCF protocol with regards to operating parameters such as the number of nodes, the contention window size and the backoff countdown probabilities. We then compare numerical results from an implementation of our model with simulations. Our model shows a high level of accuracy, even when the model assumptions are relaxed, and provides guidance for network operators to correctly configure the weight functions for nodes running TO-DCF given the network’s operating conditions.
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spelling pubmed-55750832017-09-18 An analytic model for Throughput Optimal Distributed Coordination Function (TO-DCF) Fitzgerald, Emma Körner, Ulf Landfeldt, Bjorn Telecommun Syst Article TO-DCF, a new backoff scheme for 802.11, has the potential to significantly increase throughput in dense wireless LANs while also opportunistically favouring nodes with heavier traffic loads and/or better channel conditions. In this paper we present an analytical model to investigate the behaviour and performance of the TO-DCF protocol with regards to operating parameters such as the number of nodes, the contention window size and the backoff countdown probabilities. We then compare numerical results from an implementation of our model with simulations. Our model shows a high level of accuracy, even when the model assumptions are relaxed, and provides guidance for network operators to correctly configure the weight functions for nodes running TO-DCF given the network’s operating conditions. Springer US 2017-02-03 2017 /pmc/articles/PMC5575083/ /pubmed/28932096 http://dx.doi.org/10.1007/s11235-017-0275-6 Text en © The Author(s) 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Article
Fitzgerald, Emma
Körner, Ulf
Landfeldt, Bjorn
An analytic model for Throughput Optimal Distributed Coordination Function (TO-DCF)
title An analytic model for Throughput Optimal Distributed Coordination Function (TO-DCF)
title_full An analytic model for Throughput Optimal Distributed Coordination Function (TO-DCF)
title_fullStr An analytic model for Throughput Optimal Distributed Coordination Function (TO-DCF)
title_full_unstemmed An analytic model for Throughput Optimal Distributed Coordination Function (TO-DCF)
title_short An analytic model for Throughput Optimal Distributed Coordination Function (TO-DCF)
title_sort analytic model for throughput optimal distributed coordination function (to-dcf)
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5575083/
https://www.ncbi.nlm.nih.gov/pubmed/28932096
http://dx.doi.org/10.1007/s11235-017-0275-6
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