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...
| Published in: | Journal of King Saud University: Engineering Sciences |
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| Main Authors: | , , |
| Format: | Article |
| Language: | English |
| Published: |
Springer
2017-04-01
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| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1018363915000197 |
| _version_ | 1848769462880174080 |
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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. |
| format | Article |
| id | doaj-art-2b6028ce07fb4b1890fc0669dd0ff207 |
| institution | Directory of Open Access Journals |
| issn | 1018-3639 |
| language | English |
| publishDate | 2017-04-01 |
| publisher | Springer |
| record_format | Article |
| 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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