Measurement and modelling of TCP downstream throughput dependence on SNR in an IEEE802.11b WLAN system

2020

Nig. J. Tech.

Single User, Transmission Control Protocol Downstream Throughput (TCPDST) probability models in an IEEE802.11b WLAN have been developed, validated and evaluated for performance. Measurement of single user TCPDST were taken using Tamosoft throughput test while that of signal to noise ratio (SNR) were taken using inSSIDer 2.1. The Tamosoft throughput tests were conducted using different quality of service (QoS) traffic. These QoS traffic (which were sent through an infrastructure based network) correspond to different wireless multimedia tags. Measurements were taken in free space, small offices and open corridor environments. By assuming a normal distribution, single user TCPDST Cumulative distribution function (CDF) probability models were developed for different signal categories namely: (i) all the SNR considered, (ii) strong signals only, (iii) grey signals only and (iv) weak signals only. The models were validated and their performances evaluated using root mean square (RMS) errors. RMS errors were computed by comparing model predicted values with validation data. The RMS errors for single user CDF all signals model was 0.1466%. RMS errors for strong signals models, grey signals model and weak signals model respectively were 0.1466%, 0.6756% and 0.1233% indicating acceptable performances. All signals, strong signals, grey signals and weak signals CDF probability models predicted probabilities of obtaining TCPDST values greater than 5Mbps as 74.79%, 90.55%, 13.00% and 4.77% respectively while probabilities of obtaining TCPDST values less than 2Mbps were predicted as 4.91%, 0.00%, 18.98% and 52.41% respectively. These probability models will provide additional useful information needed to design efficient distributed data networks. Keywords: Throughput, TCP, WLAN, probability models

Section: Introductionmentioning

confidence: 99%

Single user TCP downstream throughput probability models in IEEE802.11b WLAN system

2020

Nig. J. Tech.

“…Most of these factors on which RTT depend (like the throughput of the source connection and factors (ii), (vi) and (vii) as listed above) are also directly related to the SNR present (Oghogho, 2018;Geier, 2008a;Geier, 2008b;Domenico and Stefan, 2011). Throughput in WLANs has been predicted directly from the computed SNR by Henty, (2001); Oghogho et al,(2014a), Oghogho et al, (2014b) Oghogho et al,(2015a), Oghogho et al,(2015b), Oghogho, (2017, Oghogho et al, (2017), Oghogho et al,(2018). Just as is the case for the throughput, several work including Li et al, (2009), El Miloud et al, (2013, Zobenko et al, (2014), Stephen, (2013, Nafei et al, (2013), Domenico and Stefan, (2011), Kavidha and Sadasivam (2010) exist that also studied and predicted the RTT.…”

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confidence: 99%

Multiple users round trip time models in IEEE 802.11b WLANS

Journal of Applied Sciences and Environmental Management

2019

The dependence of Round Trip Time (RTT) on Signal to Noise Ratio (SNR) for multiple users in an IEEE 802.11b Wireless Local Area Network (WLAN) was studied in this work. Data collected in open corridor, small offices and free space environments in an infrastructure based network (where different quality of service traffic were continuously being sent by multiple users) was used to develop and validate Multiple User RTT models predicted from computed SNR.The models were also compared with single user models earlier developed. The tests results show that for multiple users on the network, RTT can be predicted from the computed SNR with reasonable accuracy as the models passed the F and T test at 0.1% level of significance and RMS errors of less than 867.378214ms were observed. During network design and installation, these models provide useful tools that can enable IEEE 802.11b WLAN installers to make fast and better informed RTT decisions.

“…Several research has shown that throughput in WLANs can be predicted directly from the SNR with reasonable accuracy (Henty, (2001); Oghogho et al, (2014a); Oghogho et al, (2014b), Oghogho et al,(2015a), Oghogho et al, (2015b), Oghogho, (2017, Oghogho et al, (2017), Oghogho et al, (2018). Among these researches, Oghogho et al, (2014b) and Oghogho, et al, (2015a) provided throughput CDF probability models based on different ranges of SNR observed.…”

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confidence: 99%

Multiple users round trip time CDF probability models in IEEE802.11b WLANS

Journal of Applied Sciences and Environmental Management

2019

Multiple Users Round Trip Time Cumulative Distribution Function Probability Models (MURTTCDFPM) in IEEE 802.11b Wireless Local Area Networks (WLANs) have been presented in this paper. To develop the models, field and validation data were collected for various Quality of service (QoS) traffic in three different environments namely: open corridor, small offices and free space for an infrastructure based IEEE802.11b WLAN. The data was categorised into four signal ranges namely: all signals considered, strong signals, grey signals and weak signals. By assuming a normal distribution for the collected field data, MURTTCDFPM were developed and correction factors were applied to improve their prediction accuracy. The MURTTCDFPM developed were compared with existing Single user Round trip time (RTT) Cumulative distribution function (CDF) probability models. The results and the tests conducted show that the MURTTCDFPM have good performances as root mean square (RMS) errors <11.9274495% were observed.