MODIFIED PASSIVE AVAILABLE BANDWIDTH ESTIMATION IN IEEE 802.11 WLAN

Quality of Service provisioning for real-time multimedia applications is largely determined by a network’s available bandwidth. Until now, there is no standard method for estimating bandwidth on wireless networks. Therefore, in this study, a mathematical model called Modified Passive Available Bandw...

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Autores principales:	Yoanes Bandung Bandung, Joshua Tanuraharja
Formato:	article
Lenguaje:	EN
Publicado:	UUM Press 2020
Materias:	available bandwidth estimation distributed coordination function ieee 802.11 hidden nodes Information technology T58.5-58.64
Acceso en línea:	https://doaj.org/article/bfeaedb7fc38435a928d315dd044cbaa
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spelling	oai:doaj.org-article:bfeaedb7fc38435a928d315dd044cbaa2021-11-15T07:18:42ZMODIFIED PASSIVE AVAILABLE BANDWIDTH ESTIMATION IN IEEE 802.11 WLAN10.32890/jict2020.19.4.21675-414X2180-3862https://doaj.org/article/bfeaedb7fc38435a928d315dd044cbaa2020-08-01T00:00:00Zhttp://e-journal.uum.edu.my/index.php/jict/article/view/jict2020.19.4.2https://doaj.org/toc/1675-414Xhttps://doaj.org/toc/2180-3862Quality of Service provisioning for real-time multimedia applications is largely determined by a network’s available bandwidth. Until now, there is no standard method for estimating bandwidth on wireless networks. Therefore, in this study, a mathematical model called Modified Passive Available Bandwidth Estimation (MPABE) was developed to estimate the available bandwidth passively on a Distributed Coordination Function (DCF) wireless network on the IEEE 802.11 protocol. The mathematical model developed was a modification of three existing mathematical models, namely Available Bandwidth Estimation (ABE), Cognitive Passive Estimation of Available Bandwidth V2 (cPEAB-V2), and Passive Available Bandwidth Estimation (PABE). The proposed mathematical model gave emphasis on what will be faced to estimate available bandwidth and will help in building strategies to estimate available bandwidth on IEEE 802.11. The developed mathematical model consisted of idle period synchronisation between sender and receiver, the overhead probability occurring in the Medium Access Control (MAC) layer, as well as the successful packet transmission probability. Successful packet transmission was influenced by three variables, namely the packet collision probability caused by a number of neighbouring nodes, the packet collision probability caused by traffic from hidden nodes, and the packet error probability. The proposed mathematical model was tested by comparing it with other relevant mathematical models. The performance of the four mathematical models was compared with the actual bandwidth. Using a series of experiments that have been performed, it was found that the proposed mathematical model is approximately 26% more accurate than ABE, 36% more accurate than cPEABV2, and 32% more accurate than PABE. Yoanes Bandung BandungJoshua TanuraharjaUUM Pressarticleavailable bandwidth estimationdistributed coordination functionieee 802.11hidden nodesInformation technologyT58.5-58.64ENJournal of ICT, Vol 19, Iss 4, Pp 483-511 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	available bandwidth estimation distributed coordination function ieee 802.11 hidden nodes Information technology T58.5-58.64
spellingShingle	available bandwidth estimation distributed coordination function ieee 802.11 hidden nodes Information technology T58.5-58.64 Yoanes Bandung Bandung Joshua Tanuraharja MODIFIED PASSIVE AVAILABLE BANDWIDTH ESTIMATION IN IEEE 802.11 WLAN
description	Quality of Service provisioning for real-time multimedia applications is largely determined by a network’s available bandwidth. Until now, there is no standard method for estimating bandwidth on wireless networks. Therefore, in this study, a mathematical model called Modified Passive Available Bandwidth Estimation (MPABE) was developed to estimate the available bandwidth passively on a Distributed Coordination Function (DCF) wireless network on the IEEE 802.11 protocol. The mathematical model developed was a modification of three existing mathematical models, namely Available Bandwidth Estimation (ABE), Cognitive Passive Estimation of Available Bandwidth V2 (cPEAB-V2), and Passive Available Bandwidth Estimation (PABE). The proposed mathematical model gave emphasis on what will be faced to estimate available bandwidth and will help in building strategies to estimate available bandwidth on IEEE 802.11. The developed mathematical model consisted of idle period synchronisation between sender and receiver, the overhead probability occurring in the Medium Access Control (MAC) layer, as well as the successful packet transmission probability. Successful packet transmission was influenced by three variables, namely the packet collision probability caused by a number of neighbouring nodes, the packet collision probability caused by traffic from hidden nodes, and the packet error probability. The proposed mathematical model was tested by comparing it with other relevant mathematical models. The performance of the four mathematical models was compared with the actual bandwidth. Using a series of experiments that have been performed, it was found that the proposed mathematical model is approximately 26% more accurate than ABE, 36% more accurate than cPEABV2, and 32% more accurate than PABE.
format	article
author	Yoanes Bandung Bandung Joshua Tanuraharja
author_facet	Yoanes Bandung Bandung Joshua Tanuraharja
author_sort	Yoanes Bandung Bandung
title	MODIFIED PASSIVE AVAILABLE BANDWIDTH ESTIMATION IN IEEE 802.11 WLAN
title_short	MODIFIED PASSIVE AVAILABLE BANDWIDTH ESTIMATION IN IEEE 802.11 WLAN
title_full	MODIFIED PASSIVE AVAILABLE BANDWIDTH ESTIMATION IN IEEE 802.11 WLAN
title_fullStr	MODIFIED PASSIVE AVAILABLE BANDWIDTH ESTIMATION IN IEEE 802.11 WLAN
title_full_unstemmed	MODIFIED PASSIVE AVAILABLE BANDWIDTH ESTIMATION IN IEEE 802.11 WLAN
title_sort	modified passive available bandwidth estimation in ieee 802.11 wlan
publisher	UUM Press
publishDate	2020
url	https://doaj.org/article/bfeaedb7fc38435a928d315dd044cbaa
work_keys_str_mv	AT yoanesbandungbandung modifiedpassiveavailablebandwidthestimationinieee80211wlan AT joshuatanuraharja modifiedpassiveavailablebandwidthestimationinieee80211wlan
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MODIFIED PASSIVE AVAILABLE BANDWIDTH ESTIMATION IN IEEE 802.11 WLAN

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