Indoor Propagation Analysis of Iqrf Technology for Smart Building Applications

dc.contributor.author Bouzidi, Mohammed
dc.contributor.author Gupta, Nishu
dc.contributor.author Dalveren, Yaser
dc.contributor.author Mohamed, Marshed
dc.contributor.author Alaya Cheikh, Faouzi
dc.contributor.author Derawi, Mohammad
dc.date.accessioned 2024-07-05T15:24:18Z
dc.date.available 2024-07-05T15:24:18Z
dc.date.issued 2022
dc.description Mohamed, Marshed/0000-0003-0203-0636; Gupta, Nishu/0000-0002-1568-368X; Derawi, Mohammad/0000-0003-0448-7613; Dalveren, Yaser/0000-0002-9459-0042; Alaya Cheikh, Faouzi/0000-0002-4823-5250; Bouzidi, Mohammed/0000-0002-4858-7360 en_US
dc.description.abstract Owing to its efficiency in the Internet of Things (IoT) applications in terms of low-power connectivity, IQRF (Intelligent Connectivity using Radio Frequency) technology appears to be one of the most reasonable IoT technologies in the commercial market. To realize emerging smart building applications using IQRF, it is necessary to study the propagation characteristics of IQRF technology in indoor environments. In this study, preliminary propagation measurements are conducted using IQRF transceivers that operate on the 868 MHz band in a peer-to-peer (P2P) configured system. The measurements are conducted both in a single corridor of a building in a Line-of-Sight (LoS) link and two perpendicular corridors in a Non-Line-of-Sight (NLoS) with one single knife-edge link. Moreover, the measured path loss values are compared with the predicted path loss values in order to comparatively assess the prediction accuracy of the well-known empirical models, such as log-distance, ITU, and WINNER II. According to the results, it is concluded that the ITU-1 path loss model agrees well with the measurements and could be used in the planning of an IQRF network deployment in a typical LoS corridor environment. For NLoS corridors, both ITU-3 and WINNERII-2 models could be used due to their higher prediction accuracy. We expect that the initial results achieved in this study could open new perspectives for future research on the development of smart building applications. en_US
dc.identifier.doi 10.3390/electronics11233972
dc.identifier.issn 2079-9292
dc.identifier.scopus 2-s2.0-85143662266
dc.identifier.uri https://doi.org/10.3390/electronics11233972
dc.identifier.uri https://hdl.handle.net/20.500.14411/2418
dc.language.iso en en_US
dc.publisher Mdpi en_US
dc.relation.ispartof Electronics
dc.rights info:eu-repo/semantics/openAccess en_US
dc.subject indoor propagation model en_US
dc.subject internet of things en_US
dc.subject IQRF en_US
dc.subject path loss channel modelling en_US
dc.subject wireless sensor network en_US
dc.title Indoor Propagation Analysis of Iqrf Technology for Smart Building Applications en_US
dc.type Article en_US
dspace.entity.type Publication
gdc.author.id Mohamed, Marshed/0000-0003-0203-0636
gdc.author.id Gupta, Nishu/0000-0002-1568-368X
gdc.author.id Derawi, Mohammad/0000-0003-0448-7613
gdc.author.id Dalveren, Yaser/0000-0002-9459-0042
gdc.author.id Alaya Cheikh, Faouzi/0000-0002-4823-5250
gdc.author.id Bouzidi, Mohammed/0000-0002-4858-7360
gdc.author.scopusid 57216251825
gdc.author.scopusid 55441680400
gdc.author.scopusid 51763497600
gdc.author.scopusid 57195621222
gdc.author.scopusid 42461035200
gdc.author.scopusid 35408917600
gdc.author.wosid Mohamed, Marshed/AAD-4501-2019
gdc.author.wosid Gupta, Nishu/J-3004-2019
gdc.bip.impulseclass C4
gdc.bip.influenceclass C5
gdc.bip.popularityclass C4
gdc.coar.access open access
gdc.coar.type text::journal::journal article
gdc.collaboration.industrial false
gdc.description.department Atılım University en_US
gdc.description.departmenttemp [Bouzidi, Mohammed; Gupta, Nishu; Derawi, Mohammad] Norwegian Univ Sci & Technol, Dept Elect Syst, N-2821 Gjovik, Norway; [Dalveren, Yaser] Atilim Univ, Dept Avion, Incek Golbasi, TR-06830 Ankara, Turkey; [Mohamed, Marshed] Univ Dar es Salaam, Dept Elect & Telecommun Engn, Dar Es Salaam, Tanzania; [Alaya Cheikh, Faouzi] Norwegian Univ Sci & Technol, Dept Comp Sci, N-2821 Gjovik, Norway en_US
gdc.description.issue 23 en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q2
gdc.description.startpage 3972
gdc.description.volume 11 en_US
gdc.description.wosquality Q2
gdc.identifier.openalex W4310478169
gdc.identifier.wos WOS:000896105600001
gdc.index.type WoS
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gdc.oaire.diamondjournal false
gdc.oaire.impulse 6.0
gdc.oaire.influence 2.8527096E-9
gdc.oaire.isgreen false
gdc.oaire.keywords indoor propagation model; internet of things; IQRF; path loss channel modelling; wireless sensor network
gdc.oaire.popularity 6.371558E-9
gdc.oaire.publicfunded false
gdc.oaire.sciencefields 0202 electrical engineering, electronic engineering, information engineering
gdc.oaire.sciencefields 02 engineering and technology
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gdc.virtual.author Dalveren, Yaser
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