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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Main Authors: Bandung, Yoanes, Tanuraharja, Joshua
Format: Article
Language:English
Published: Universiti Utara Malaysia Press 2020
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Online Access:http://repo.uum.edu.my/28131/1/JICT%2019%204%202020%20483-511.pdf
http://repo.uum.edu.my/28131/
http://jict.uum.edu.my/index.php/previous-issues/173-journal-of-information-and-communication-technology-jict-vol-19-no-4-october-2020
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spelling my.uum.repo.281312021-02-02T02:47:35Z http://repo.uum.edu.my/28131/ Modified passive available bandwidth estimation in IEEE 802.11 WLAN Bandung, Yoanes Tanuraharja, Joshua QA75 Electronic computers. Computer science 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. Universiti Utara Malaysia Press 2020 Article PeerReviewed application/pdf en http://repo.uum.edu.my/28131/1/JICT%2019%204%202020%20483-511.pdf Bandung, Yoanes and Tanuraharja, Joshua (2020) Modified passive available bandwidth estimation in IEEE 802.11 WLAN. Journal of Information and Communication Technology, 19 (4). pp. 483-511. ISSN 2180-3862 http://jict.uum.edu.my/index.php/previous-issues/173-journal-of-information-and-communication-technology-jict-vol-19-no-4-october-2020
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Institutional Repository
url_provider http://repo.uum.edu.my/
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Bandung, Yoanes
Tanuraharja, Joshua
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 Bandung, Yoanes
Tanuraharja, Joshua
author_facet Bandung, Yoanes
Tanuraharja, Joshua
author_sort Bandung, Yoanes
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 Universiti Utara Malaysia Press
publishDate 2020
url http://repo.uum.edu.my/28131/1/JICT%2019%204%202020%20483-511.pdf
http://repo.uum.edu.my/28131/
http://jict.uum.edu.my/index.php/previous-issues/173-journal-of-information-and-communication-technology-jict-vol-19-no-4-october-2020
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score 13.211869