Propagation Measurements for Iqrf Network in an Urban Environment

dc.contributor.author Bouzidi, Mohammed
dc.contributor.author Dalveren, Yaser
dc.contributor.author Mohamed, Marshed
dc.contributor.author Dalveren, Yaser
dc.contributor.author Moldsvor, Arild
dc.contributor.author Cheikh, Faouzi Alaya
dc.contributor.author Derawi, Mohammad
dc.contributor.author Dalveren, Yaser
dc.contributor.other Department of Electrical & Electronics Engineering
dc.contributor.other Department of Electrical & Electronics Engineering
dc.date.accessioned 2024-07-05T15:24:56Z
dc.date.available 2024-07-05T15:24:56Z
dc.date.issued 2022
dc.description Mohamed, Marshed/0000-0003-0203-0636; Bouzidi, Mohammed/0000-0002-4858-7360; Dalveren, Yaser/0000-0002-9459-0042; Derawi, Mohammad/0000-0003-0448-7613; Alaya Cheikh, Faouzi/0000-0002-4823-5250 en_US
dc.description.abstract Recently, IQRF has emerged as a promising technology for the Internet of Things (IoT), owing to its ability to support short- and medium-range low-power communications. However, real world deployment of IQRF-based wireless sensor networks (WSNs) requires accurate path loss modelling to estimate network coverage and other performances. In the existing literature, extensive research on propagation modelling for IQRF network deployment in urban environments has not been provided yet. Therefore, this study proposes an empirical path loss model for the deployment of IQRF networks in a peer-to-peer configured system where the IQRF sensor nodes operate in the 868 MHz band. For this purpose, extensive measurement campaigns are conducted outdoor in an urban environment for Line-of-Sight (LoS) and Non-Line-of-Sight (NLoS) links. Furthermore, in order to evaluate the prediction accuracy of well-known empirical path loss models for urban environments, the measurements are compared with the predicted path loss values. The results show that the COST-231 Walfisch-Ikegami model has higher prediction accuracy and can be used for IQRF network planning in LoS links, while the COST-231 Hata model has better accuracy in NLoS links. On the other hand, the effects of antennas on the performance of IQRF transceivers (TRs) for LoS and NLoS links are also scrutinized. The use of IQRF TRs with a Straight-Line Dipole Antenna (SLDA) antenna is found to offer more stable results when compared to IQRF (TRs) with Meander Line Antenna (MLA) antenna. Therefore, it is believed that the findings presented in this article could offer useful insights for researchers interested in the development of IoT-based smart city applications. en_US
dc.description.sponsorship Norwegian University of Science and Technology (NTNU) en_US
dc.description.sponsorship This research was funded by the Norwegian University of Science and Technology (NTNU). en_US
dc.identifier.doi 10.3390/s22187012
dc.identifier.issn 1424-8220
dc.identifier.scopus 2-s2.0-85138777517
dc.identifier.uri https://doi.org/10.3390/s22187012
dc.identifier.uri https://hdl.handle.net/20.500.14411/2478
dc.language.iso en en_US
dc.publisher Mdpi en_US
dc.relation.ispartof Sensors
dc.rights info:eu-repo/semantics/openAccess en_US
dc.subject IQRF en_US
dc.subject path loss en_US
dc.subject wireless sensor networks en_US
dc.subject propagation en_US
dc.subject channel modelling en_US
dc.title Propagation Measurements for Iqrf Network in an Urban Environment en_US
dc.type Article en_US
dspace.entity.type Publication
gdc.author.id Mohamed, Marshed/0000-0003-0203-0636
gdc.author.id Bouzidi, Mohammed/0000-0002-4858-7360
gdc.author.id Dalveren, Yaser/0000-0002-9459-0042
gdc.author.id Derawi, Mohammad/0000-0003-0448-7613
gdc.author.id Alaya Cheikh, Faouzi/0000-0002-4823-5250
gdc.author.scopusid 57216251825
gdc.author.scopusid 57195621222
gdc.author.scopusid 51763497600
gdc.author.scopusid 6603460142
gdc.author.scopusid 42461035200
gdc.author.scopusid 35408917600
gdc.author.wosid Mohamed, Marshed/AAD-4501-2019
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; Moldsvor, Arild; Derawi, Mohammad] Norwegian Univ Sci & Technol, Dept Elect Syst, N-2821 Gjovik, Norway; [Mohamed, Marshed] Norwegian Univ Sci & Technol, Dept Mfg & Civil Engn, N-2821 Gjovik, Norway; [Dalveren, Yaser] Atilim Univ, Dept Av, TR-06830 Ankara, Turkey; [Cheikh, Faouzi Alaya] Norwegian Univ Sci & Technol, Dept Comp Sci, N-2821 Gjovik, Norway en_US
gdc.description.issue 18 en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q1
gdc.description.startpage 7012
gdc.description.volume 22 en_US
gdc.description.wosquality Q2
gdc.identifier.openalex W4296349758
gdc.identifier.pmid 36146363
gdc.identifier.wos WOS:000858767800001
gdc.index.type WoS
gdc.index.type Scopus
gdc.index.type PubMed
gdc.oaire.accesstype GOLD
gdc.oaire.diamondjournal false
gdc.oaire.impulse 10.0
gdc.oaire.influence 3.2260645E-9
gdc.oaire.isgreen true
gdc.oaire.keywords IQRF
gdc.oaire.keywords IQRF; path loss; wireless sensor networks; propagation; channel modelling
gdc.oaire.keywords path loss
gdc.oaire.keywords Chemical technology
gdc.oaire.keywords propagation
gdc.oaire.keywords channel modelling
gdc.oaire.keywords TP1-1185
gdc.oaire.keywords wireless sensor networks
gdc.oaire.keywords Article
gdc.oaire.popularity 9.561069E-9
gdc.oaire.publicfunded false
gdc.oaire.sciencefields 0202 electrical engineering, electronic engineering, information engineering
gdc.oaire.sciencefields 02 engineering and technology
gdc.openalex.collaboration International
gdc.openalex.fwci 1.18411392
gdc.openalex.normalizedpercentile 0.75
gdc.openalex.toppercent TOP 1%
gdc.opencitations.count 6
gdc.plumx.crossrefcites 10
gdc.plumx.mendeley 24
gdc.plumx.pubmedcites 3
gdc.plumx.scopuscites 9
gdc.scopus.citedcount 9
gdc.virtual.author Dalveren, Yaser
gdc.wos.citedcount 8
relation.isAuthorOfPublication 55e082ac-14c0-46a6-b8fa-50c5e40b59c8
relation.isAuthorOfPublication 55e082ac-14c0-46a6-b8fa-50c5e40b59c8
relation.isAuthorOfPublication 55e082ac-14c0-46a6-b8fa-50c5e40b59c8
relation.isAuthorOfPublication.latestForDiscovery 55e082ac-14c0-46a6-b8fa-50c5e40b59c8
relation.isOrgUnitOfPublication c3c9b34a-b165-4cd6-8959-dc25e91e206b
relation.isOrgUnitOfPublication c3c9b34a-b165-4cd6-8959-dc25e91e206b
relation.isOrgUnitOfPublication dff2e5a6-d02d-4bef-8b9e-efebe3919b10
relation.isOrgUnitOfPublication 50be38c5-40c4-4d5f-b8e6-463e9514c6dd
relation.isOrgUnitOfPublication.latestForDiscovery c3c9b34a-b165-4cd6-8959-dc25e91e206b

Files

Collections