Efficient bandwidth allocation methods in upstream EPON

The Internet has become the world’s leading universal global communication infrastructure. Optical solutions are sought after at the access network to support the ever increasing demand in bandwidth. Passive Optical Networks (PONs) are seen to provide a cost effective solution for this. PON Dynamic...

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Main Authors: Sadon S.K., Din N.M., Radzi N.A., Yaacob M.B., Maier M., Al-Mansoori M.H.
Other Authors: 35590723900
Format: Book Chapter
Published: Springer Netherlands 2023
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spelling my.uniten.dspace-219712023-05-16T10:46:22Z Efficient bandwidth allocation methods in upstream EPON Sadon S.K. Din N.M. Radzi N.A. Yaacob M.B. Maier M. Al-Mansoori M.H. 35590723900 9335429400 57218936786 57189683123 35485001300 6505891021 The Internet has become the world’s leading universal global communication infrastructure. Optical solutions are sought after at the access network to support the ever increasing demand in bandwidth. Passive Optical Networks (PONs) are seen to provide a cost effective solution for this. PON Dynamic Bandwidth Allocation (DBA) scheme provides the means for upstream traffic allocation. In this paper, the operation of several bandwidth allocation algorithms in upstream Ethernet PON (EPON) is presented. An Efficient Distributed DBA (EDDBA) that supports Quality of Service (QoS) for both inter and intra ONU allocation is proposed. The proposed scheme introduces an identical DBA algorithm running simultaneously in each ONU. The simulation performance for the proposed DBA was conducted using Prolog and shows flexibility, reliability in handling data, voice, and video traffic. © Springer Science+Business Media Dordrecht 2014. Final 2023-05-16T02:46:22Z 2023-05-16T02:46:22Z 2014 Book Chapter 10.1007/978-94-017-9115-1_35 2-s2.0-84948660986 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84948660986&doi=10.1007%2f978-94-017-9115-1_35&partnerID=40&md5=75b813e4cbba0ad80680ee217a6ca8da https://irepository.uniten.edu.my/handle/123456789/21971 459 471 Springer Netherlands Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description The Internet has become the world’s leading universal global communication infrastructure. Optical solutions are sought after at the access network to support the ever increasing demand in bandwidth. Passive Optical Networks (PONs) are seen to provide a cost effective solution for this. PON Dynamic Bandwidth Allocation (DBA) scheme provides the means for upstream traffic allocation. In this paper, the operation of several bandwidth allocation algorithms in upstream Ethernet PON (EPON) is presented. An Efficient Distributed DBA (EDDBA) that supports Quality of Service (QoS) for both inter and intra ONU allocation is proposed. The proposed scheme introduces an identical DBA algorithm running simultaneously in each ONU. The simulation performance for the proposed DBA was conducted using Prolog and shows flexibility, reliability in handling data, voice, and video traffic. © Springer Science+Business Media Dordrecht 2014.
author2 35590723900
author_facet 35590723900
Sadon S.K.
Din N.M.
Radzi N.A.
Yaacob M.B.
Maier M.
Al-Mansoori M.H.
format Book Chapter
author Sadon S.K.
Din N.M.
Radzi N.A.
Yaacob M.B.
Maier M.
Al-Mansoori M.H.
spellingShingle Sadon S.K.
Din N.M.
Radzi N.A.
Yaacob M.B.
Maier M.
Al-Mansoori M.H.
Efficient bandwidth allocation methods in upstream EPON
author_sort Sadon S.K.
title Efficient bandwidth allocation methods in upstream EPON
title_short Efficient bandwidth allocation methods in upstream EPON
title_full Efficient bandwidth allocation methods in upstream EPON
title_fullStr Efficient bandwidth allocation methods in upstream EPON
title_full_unstemmed Efficient bandwidth allocation methods in upstream EPON
title_sort efficient bandwidth allocation methods in upstream epon
publisher Springer Netherlands
publishDate 2023
_version_ 1806427437781745664
score 13.18916