Performance of cognitive smart grid communication in home area network

Cognitive radio; Efficiency; Electric power transmission networks; Home networks; Radio systems; Electricity Grid systems; Harmful interferences; Home area network; Multiple channels; Smart Grid Communications; Spectral efficiencies; Spectrum measurement; Spectrum utilization efficiency; Smart power...

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Main Authors: Hiew Y.-K., Aripin N.M., Din N.M.
Other Authors: 56495343900
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-222632023-05-29T13:59:55Z Performance of cognitive smart grid communication in home area network Hiew Y.-K. Aripin N.M. Din N.M. 56495343900 35092180800 9335429400 Cognitive radio; Efficiency; Electric power transmission networks; Home networks; Radio systems; Electricity Grid systems; Harmful interferences; Home area network; Multiple channels; Smart Grid Communications; Spectral efficiencies; Spectrum measurement; Spectrum utilization efficiency; Smart power grids Spectrum measurement has been conducted in different areas and it is reported that the spectrum utilization efficiency is poor. To improve the spectrum utilization efficiency, cognitive radio concept is deployed. Using cognitive radio ability, cognitive users sense the spectrum bands and utilize idle channels opportunistically. The main constraint is that no harmful interference should be incurred to licensed users. One of the applications of cognitive radio is smart grid communication. Smart grid is an intelligent electricity grid system which is more resilient, robust, and secure. To ensure stability in smart grid, dual-way communication is the key role. In cognitive smart grid framework, smart grid devices utilize idle channels to transmit data. In this paper, cognitive radio is applied in Industrial, Science, and Medical (ISM) bands for smart grid home area network. Cognitive radio aims to improve the performance of sensing multiple channels and to mitigate noisy channels in ISM bands. Simulation has been carried out by using NS-2. The simulation result shows that the performance of cognitive smart grid outperforms conventional 802.11 in term of delay and spectral efficiency. � 2014 IEEE. Final 2023-05-29T05:59:54Z 2023-05-29T05:59:54Z 2015 Conference Paper 10.1109/ISTT.2014.7238247 2-s2.0-84946594424 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84946594424&doi=10.1109%2fISTT.2014.7238247&partnerID=40&md5=c705a960903f51e1e93e57793857bf51 https://irepository.uniten.edu.my/handle/123456789/22263 7238247 417 422 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 Cognitive radio; Efficiency; Electric power transmission networks; Home networks; Radio systems; Electricity Grid systems; Harmful interferences; Home area network; Multiple channels; Smart Grid Communications; Spectral efficiencies; Spectrum measurement; Spectrum utilization efficiency; Smart power grids
author2 56495343900
author_facet 56495343900
Hiew Y.-K.
Aripin N.M.
Din N.M.
format Conference Paper
author Hiew Y.-K.
Aripin N.M.
Din N.M.
spellingShingle Hiew Y.-K.
Aripin N.M.
Din N.M.
Performance of cognitive smart grid communication in home area network
author_sort Hiew Y.-K.
title Performance of cognitive smart grid communication in home area network
title_short Performance of cognitive smart grid communication in home area network
title_full Performance of cognitive smart grid communication in home area network
title_fullStr Performance of cognitive smart grid communication in home area network
title_full_unstemmed Performance of cognitive smart grid communication in home area network
title_sort performance of cognitive smart grid communication in home area network
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2023
_version_ 1806425629720051712