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Authors: Tomokazu Moriyama ; Ryo Yamamoto ; Satoshi Ohzahata and Toshihiko Kato

Affiliation: Graduate School of Informatics and Engineering, University of Electro-Communications, 1-5-1, Chofugaoka, Chofu, Tokyo 182-8585 and Japan

ISBN: 978-989-758-319-3

Keyword(s): TCP, Congestion Control, Packet Loss Classification, IEEE 802.11 WLAN, K-Means Clustering.

Related Ontology Subjects/Areas/Topics: Data Communication Networking ; Internet Technologies ; Network Architectures ; Network Monitoring and Control ; Network Protocols ; Telecommunications

Abstract: Recent IEEE 802.11 wireless LANs provide high speed data transfer using the newly introduced physical and MAC technologies. Although packet losses over a wireless link are also decreased by the help of new MAC technologies, some packet losses still occur randomly. Those packet losses invoke TCP congestion control, which reduces the TCP level throughput, even if congestion does not occur at al. In order to resolve this problem, some machine learning based approaches have been proposed, which use K-means clustering in order to discriminate congestion triggered packet losses and wireless error triggered packet losses. However, those proposals use only delay related parameters, but delay may increase due to non-congestion reasons, in which case the conventional proposals fail discrimination. This paper proposes a method to classify packet losses by the K-means clustering focusing on congestion window size and round-trip delay, and to stop decreasing congestion window when losses are triggered by wireless errors. We develop the proposed method as a Linux kernel module and show the performance evaluation results that the throughput increases by 40% without increasing unnecessary packet losses. (More)

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Paper citation in several formats:
Moriyama, T.; Yamamoto, R.; Ohzahata, S. and Kato, T. (2018). TCP Congestion Control over IEEE 802.11 Wireless Lans based on K-Means Clustering Focusing on Congestion Window Size and Round-trip Time.In Proceedings of the 15th International Joint Conference on e-Business and Telecommunications - Volume 2: ICETE, ISBN 978-989-758-319-3, pages 25-32. DOI: 10.5220/0006836801910198

@conference{icete18,
author={Tomokazu Moriyama. and Ryo Yamamoto. and Satoshi Ohzahata. and Toshihiko Kato.},
title={TCP Congestion Control over IEEE 802.11 Wireless Lans based on K-Means Clustering Focusing on Congestion Window Size and Round-trip Time},
booktitle={Proceedings of the 15th International Joint Conference on e-Business and Telecommunications - Volume 2: ICETE,},
year={2018},
pages={25-32},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006836801910198},
isbn={978-989-758-319-3},
}

TY - CONF

JO - Proceedings of the 15th International Joint Conference on e-Business and Telecommunications - Volume 2: ICETE,
TI - TCP Congestion Control over IEEE 802.11 Wireless Lans based on K-Means Clustering Focusing on Congestion Window Size and Round-trip Time
SN - 978-989-758-319-3
AU - Moriyama, T.
AU - Yamamoto, R.
AU - Ohzahata, S.
AU - Kato, T.
PY - 2018
SP - 25
EP - 32
DO - 10.5220/0006836801910198

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