Predicting throughput in IEEE 802.11 based wireless networks using directional antenna

Kandasamy, Saravanan; Morla, Ricardo; Ramos, Patrícia; Ricardo, Manuel

doi:10.1007/s11276-017-1612-0

Cited by 6 publications

(6 citation statements)

References 26 publications

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“…The paper used UDP traffic and did not consider TCP performance. [13] worked on Predicting throughput performance in IEEE 802.11 based wireless networks using directional antennas. The study suggests a model for predicting the throughput in IEEE 802.11 wireless networks using directional antennas for both indoor and outdoor environments.…”

Section: Related Workmentioning

confidence: 99%

Empirical Observation of Wireless Network Performance for Transmission Control Protocol (Tcp) Upstream and Downstream for Different Users Scenarios

P. Davids,

A. Ahaneku,

N. Nwawelu

et al. 2023

IJEAST

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The increase in demand for proper and fast access to network infrastructure around the University environment by staff, students, and visitors in the quest to carry out daily tasks or keeping up with trends/innovations around the globe is a daily experience resulting in some challenges. But these challenges are not unexpected. The access to network infrastructure around the environment encourages proper development. This paper presents an empirical observation of transmission control protocol upstream throughput (TCPupT) and downstream throughput (TCPdownT) performance for an IEEE 802.11g wireless local area network (WLAN) installed at a corridor space of University of Nigeria, Nsukka campus. This work measured the TCP upstream and downstream throughput values for single, double, and multiple users (several Users) accessing an installed WLAN access point. The paper adopted basic WLAN system setup approach while observing the TCP performance in relation to SNR. Data collected for each environment were statistically analyzed, equations and results were also presented. The observed TCP throughput values vary as users increase thereby affecting the observed round-trip time (RTT). The generated equations were also used to predict TCP throughput which would aid network engineers in the deployment of IEEE 802.11g WLAN systems especially around the university environment. It is now clear that the generated model equations can be used for predicting the expected performance of IEEE 802.11g WLAN systems during deployment. This work gives WLAN engineers, researchers and users an apparatus to rapidly estimate the TCP upstream and downstream throughput, by monitoring the received SNR for IEEE 802.11g systems.

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Section: Related Workmentioning

confidence: 99%

Empirical Observation of Wireless Network Performance for Transmission Control Protocol (Tcp) Upstream and Downstream for Different Users Scenarios

P. Davids,

A. Ahaneku,

N. Nwawelu

et al. 2023

IJEAST

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“…The logarithm function has been used in interference studies of WLAN. In [23], Kandasamy et al studied the relationship between the interference metric and the throughput to quantify the effect of the interference on the WLAN performance. In their study, the logarithm function is adopted to estimate the throughput.…”

Section: Related Workmentioning

confidence: 99%

A Throughput Drop Estimation Model for Concurrent Communications under Partially Overlapping Channels without Channel Bonding and Its Application to Channel Assignment in IEEE 802.11n WLAN

Munene

Funabiki

Briantoro

et al. 2021

IEICE Trans. Inf. & Syst.

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Currently, the IEEE 802.11n wireless local-area network (WLAN) has been extensively deployed world-wide. For the efficient channel assignment to access-points (APs) from the limited number of partially overlapping channels (POCs) at 2.4GHz band, we have studied the throughput drop estimation model for concurrently communicating links using the channel bonding (CB). However, non-CB links should be used in dense WLANs, since the CB links often reduce the transmission capacity due to high interferences from other links. In this paper, we examine the throughput drop estimation model for concurrently communicating links without using the CB in 802.11n WLAN, and its application to the POC assignment to the APs. First, we verify the model accuracy through experiments in two network fields. The results show that the average error is 9.946% and 6.285% for the high and low interference case respectively. Then, we verify the effectiveness of the POC assignment to the APs using the model through simulations and experiments. The results show that the model improves the smallest throughput of a host by 22.195% and the total throughput of all the hosts by 22.196% on average in simulations for three large topologies, and the total throughput by 12.89% on average in experiments for two small topologies.

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“…Throughput prediction has been an active research in cellular/mobile networks [9,10], data center networks [11,12], wireless networks [13,14] and wide area networks [15,16]. In the context of cellular/mobile networks, seven TCP throughput prediction algorithms are examined in [9].…”

Section: Related Workmentioning

confidence: 99%

“…Time series analysis and machine learning techniques are used in opportunistic wireless networks where the two communication endpoints cooperate in the prediction procedure, and there does not exist any network topology and traffic load knowledge [13]. In [14], the aggregated throughput of IEEE 802.11 based wireless networks is predicted using directional antenna. Particularly, a model for estimating the aggregated throughput of IEEE 802.11 based wireless network using the improved attacking case metric is derived.…”

Section: Related Workmentioning

confidence: 99%

Bir Izgara Ağı Topolojisi Üzerinde CoAP’ın Veriye Dayalı Modellemesi ve Verimliliğinin Tahmini

Demir

Abut

2020

El-Cezeri Fen Ve Mühendislik Dergisi

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In this study, we propose new models for predicting the average throughput in a 4x4 grid Constrained Application Protocol (CoAP)-based IoT network using Support Vector Machine (SVM) and Multiple Linear Regression (MLR). Two different CoAP congestion control mechanisms have been considered: the default CoAP congestion control (CC) and the CoAP Simple Congestion Control/Advanced (CoCoA). On the client-side, we run 3, 6, 9, 12 or 15 CoAP clients requesting packets, sized with 12, 24, 36 or 48 bytes, from different CoAP servers over 4x4 grid IoT network configured with packet delivery ratios of 90, 95 or 100. In total, 60 different experimental scenarios, each of which was run 10 times to determine the average throughput of default CoAP CC and CoCoA clients, were created. Using 10-fold cross-validation, the performance of the prediction models has been evaluated using several performance metrics. The results show that combining packet delivery ratio and number of concurrently sending clients in a model leads to the highest correlation with the average CoAP throughput of the IoT network. Particularly, this model produces the lowest prediction error among all SVM-based and MLR-based models, regardless of whether the default CoAP CC or CoCoA is used as the congestion control mechanism.

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Predicting throughput in IEEE 802.11 based wireless networks using directional antenna

Cited by 6 publications

References 26 publications

Empirical Observation of Wireless Network Performance for Transmission Control Protocol (Tcp) Upstream and Downstream for Different Users Scenarios

Empirical Observation of Wireless Network Performance for Transmission Control Protocol (Tcp) Upstream and Downstream for Different Users Scenarios

A Throughput Drop Estimation Model for Concurrent Communications under Partially Overlapping Channels without Channel Bonding and Its Application to Channel Assignment in IEEE 802.11n WLAN

Bir Izgara Ağı Topolojisi Üzerinde CoAP’ın Veriye Dayalı Modellemesi ve Verimliliğinin Tahmini

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