Empirical investigation on the dependence of TCP downstream throughput on SNR in an IEEE802.11b WLAN system

The dependence of TCP downstream throughput (TCPdownT) on signal to noise ratio (SNR) in an IEEE802.11b WLAN system was investigated in various environments and varieties of QoS traffic. TCPdownT was measured for various SNR observed. An Infrastructure based IEEE802.11b WLAN system having networked...

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Published in:Journal of King Saud University: Engineering Sciences
Main Authors: Ikponmwosa Oghogho, Fredrick O. Edeko, Joy Emagbetere
Format: Article
Language:English
Published: Springer 2017-04-01
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1018363915000197
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author Ikponmwosa Oghogho
Fredrick O. Edeko
Joy Emagbetere
author_facet Ikponmwosa Oghogho
Fredrick O. Edeko
Joy Emagbetere
author_sort Ikponmwosa Oghogho
collection DOAJ
container_title Journal of King Saud University: Engineering Sciences
description The dependence of TCP downstream throughput (TCPdownT) on signal to noise ratio (SNR) in an IEEE802.11b WLAN system was investigated in various environments and varieties of QoS traffic. TCPdownT was measured for various SNR observed. An Infrastructure based IEEE802.11b WLAN system having networked computers on which measurement software were installed, was set up consecutively in various environments (open corridor, small offices with block walls and plaster boards and free space). Empirical models describing TCPdownT against SNR for different signal ranges (all ranges of signals, strong signals only, grey signals only and weak signals only) were statistically generated and validated. As the SNR values changed from high (strong signals) through low (grey signals) to very low (weak signals), our results show a strong dependence of TCPdownT on the received SNR. Our models showed lower RMS errors when compared with other similar models. We observed RMS errors of 0.6734791 Mbps, 0.472209 Mbps, 0.9111563 Mbps and 0.5764460 Mbps for general (all SNR) model, strong signals model, grey signals model and Weak signals model respectively. Our models will provide researchers and WLAN systems users with a tool to estimate the TCP downstream throughput in a real network in various environments by monitoring the received SNR.
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spelling doaj-art-2b6028ce07fb4b1890fc0669dd0ff2072025-10-02T04:57:54ZengSpringerJournal of King Saud University: Engineering Sciences1018-36392017-04-0129213514310.1016/j.jksues.2015.06.006Empirical investigation on the dependence of TCP downstream throughput on SNR in an IEEE802.11b WLAN systemIkponmwosa Oghogho0Fredrick O. Edeko1Joy Emagbetere2Electrical and Information Engineering Department, Landmark University, Omu-aran, Kwara State, NigeriaElectrical and Electronic Engineering Department, University of Benin, Benin City, Edo State, NigeriaElectrical and Electronic Engineering Department, University of Benin, Benin City, Edo State, NigeriaThe dependence of TCP downstream throughput (TCPdownT) on signal to noise ratio (SNR) in an IEEE802.11b WLAN system was investigated in various environments and varieties of QoS traffic. TCPdownT was measured for various SNR observed. An Infrastructure based IEEE802.11b WLAN system having networked computers on which measurement software were installed, was set up consecutively in various environments (open corridor, small offices with block walls and plaster boards and free space). Empirical models describing TCPdownT against SNR for different signal ranges (all ranges of signals, strong signals only, grey signals only and weak signals only) were statistically generated and validated. As the SNR values changed from high (strong signals) through low (grey signals) to very low (weak signals), our results show a strong dependence of TCPdownT on the received SNR. Our models showed lower RMS errors when compared with other similar models. We observed RMS errors of 0.6734791 Mbps, 0.472209 Mbps, 0.9111563 Mbps and 0.5764460 Mbps for general (all SNR) model, strong signals model, grey signals model and Weak signals model respectively. Our models will provide researchers and WLAN systems users with a tool to estimate the TCP downstream throughput in a real network in various environments by monitoring the received SNR.http://www.sciencedirect.com/science/article/pii/S1018363915000197ThroughputTCP downstreamSignal to noise ratioEmpirical modelIEEE802.11bWLANs
spellingShingle Ikponmwosa Oghogho
Fredrick O. Edeko
Joy Emagbetere
Empirical investigation on the dependence of TCP downstream throughput on SNR in an IEEE802.11b WLAN system
Throughput
TCP downstream
Signal to noise ratio
Empirical model
IEEE802.11b
WLANs
title Empirical investigation on the dependence of TCP downstream throughput on SNR in an IEEE802.11b WLAN system
title_full Empirical investigation on the dependence of TCP downstream throughput on SNR in an IEEE802.11b WLAN system
title_fullStr Empirical investigation on the dependence of TCP downstream throughput on SNR in an IEEE802.11b WLAN system
title_full_unstemmed Empirical investigation on the dependence of TCP downstream throughput on SNR in an IEEE802.11b WLAN system
title_short Empirical investigation on the dependence of TCP downstream throughput on SNR in an IEEE802.11b WLAN system
title_sort empirical investigation on the dependence of tcp downstream throughput on snr in an ieee802 11b wlan system
topic Throughput
TCP downstream
Signal to noise ratio
Empirical model
IEEE802.11b
WLANs
url http://www.sciencedirect.com/science/article/pii/S1018363915000197
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