Abstract
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.
Highlights
(MURTTCDFPM) in IEEE 802.11b Wireless Local Area Networks (WLANs) have been presented in this paper
A maximum acceptable Round trip time (RTT) limit is imposed on a wireless local area network (WLAN) if it is to be accepted to have provided sufficient and efficient coverage (Geier, 2008b)
The MURTTCDFPM can predict the probability that RTT falls into different RTT ranges for various SNR considered for multiple users on the network
Summary
(MURTTCDFPM) in IEEE 802.11b Wireless Local Area Networks (WLANs) have been presented in this paper. Several work including Kavidha and Sadasivam (2010), Domenico and Stefan, (2011), Zobenko et al, (2014), Li et al, (2009), El Miloud, et al (2013), Stephen, (2013), Nafei et al, (2013) have extensively studied the RTT and some have provided RTT models None of these researches directly predict RTT from the SNR computed from the received signal strength indication (RSSI) observed. 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. These models were not probability models. Oghogho (2019) provided single user RTT CDF probability models which can be used to predict the probability that RTT falls within a certain range for Multiple Users Round Trip Time
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