Implementation of Universal Dynamic Bandwidth Allocation Algorithm in Smart Grid Environment

Electric power transmission networks; Frequency allocation; Grid computing; Photonics; Quality of service; Queueing theory; Smart power grids; Available bandwidth; Bandwidth management; Dynamic bandwidth allocation; Dynamic bandwidth allocation algorithms; Excess bandwidths; LabViEW; Priority queues...

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Main Authors: Ridwan M.A., Radzi N.A.M., Abdullah F., Al-Mansoori M.H.
Other Authors: 57193648099
Format: Conference Paper
Published: Institute of Electrical and Electronics Engineers Inc. 2023
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Institution: Universiti Tenaga Nasional
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spelling my.uniten.dspace-235602023-05-29T14:50:14Z Implementation of Universal Dynamic Bandwidth Allocation Algorithm in Smart Grid Environment Ridwan M.A. Radzi N.A.M. Abdullah F. Al-Mansoori M.H. 57193648099 57218936786 56613644500 6505891021 Electric power transmission networks; Frequency allocation; Grid computing; Photonics; Quality of service; Queueing theory; Smart power grids; Available bandwidth; Bandwidth management; Dynamic bandwidth allocation; Dynamic bandwidth allocation algorithms; Excess bandwidths; LabViEW; Priority queues; Smart grid; Bandwidth Smart grid produces tremendous volume of data traffic over the grid with each application is being treated with different quality of services (QoS) requirements. High priority applications are allowed to transmit first, followed by medium and low priority applications when the bandwidth is available. However, continuously granting the high priority queue regardless of the request from other queues will cause the high priority queue to monopolize the available bandwidth. In this paper, the universal dynamic bandwidth allocation (UDBA) algorithm is implemented into the smart grid environment to study its performance. The study is done via LabVIEW simulations and the results show that the granted bandwidth is improved by at least 10% since the bandwidth will utilize the excess bandwidth from other queues. � 2018 IEEE. Final 2023-05-29T06:50:14Z 2023-05-29T06:50:14Z 2018 Conference Paper 10.1109/ICP.2018.8533186 2-s2.0-85058487332 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85058487332&doi=10.1109%2fICP.2018.8533186&partnerID=40&md5=2ba947b741bc9cc61fb6d7da9365b0a1 https://irepository.uniten.edu.my/handle/123456789/23560 8533186 Institute of Electrical and Electronics Engineers Inc. 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 Electric power transmission networks; Frequency allocation; Grid computing; Photonics; Quality of service; Queueing theory; Smart power grids; Available bandwidth; Bandwidth management; Dynamic bandwidth allocation; Dynamic bandwidth allocation algorithms; Excess bandwidths; LabViEW; Priority queues; Smart grid; Bandwidth
author2 57193648099
author_facet 57193648099
Ridwan M.A.
Radzi N.A.M.
Abdullah F.
Al-Mansoori M.H.
format Conference Paper
author Ridwan M.A.
Radzi N.A.M.
Abdullah F.
Al-Mansoori M.H.
spellingShingle Ridwan M.A.
Radzi N.A.M.
Abdullah F.
Al-Mansoori M.H.
Implementation of Universal Dynamic Bandwidth Allocation Algorithm in Smart Grid Environment
author_sort Ridwan M.A.
title Implementation of Universal Dynamic Bandwidth Allocation Algorithm in Smart Grid Environment
title_short Implementation of Universal Dynamic Bandwidth Allocation Algorithm in Smart Grid Environment
title_full Implementation of Universal Dynamic Bandwidth Allocation Algorithm in Smart Grid Environment
title_fullStr Implementation of Universal Dynamic Bandwidth Allocation Algorithm in Smart Grid Environment
title_full_unstemmed Implementation of Universal Dynamic Bandwidth Allocation Algorithm in Smart Grid Environment
title_sort implementation of universal dynamic bandwidth allocation algorithm in smart grid environment
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2023
_version_ 1806425674345349120