Indoor Propagation Analysis of IQRF Technology for Smart Building Applications
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 application...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-11-01
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| Series: | Electronics |
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| Online Access: | https://www.mdpi.com/2079-9292/11/23/3972 |
| _version_ | 1797463343260237824 |
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| author | Mohammed Bouzidi Nishu Gupta Yaser Dalveren Marshed Mohamed Faouzi Alaya Cheikh Mohammad Derawi |
| author_facet | Mohammed Bouzidi Nishu Gupta Yaser Dalveren Marshed Mohamed Faouzi Alaya Cheikh Mohammad Derawi |
| author_sort | Mohammed Bouzidi |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-09T17:50:17Z |
| format | Article |
| id | doaj.art-58ace1234892454a8d1e5aad06e65f0a |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-09T17:50:17Z |
| publishDate | 2022-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-58ace1234892454a8d1e5aad06e65f0a2023-11-24T10:48:40ZengMDPI AGElectronics2079-92922022-11-011123397210.3390/electronics11233972Indoor Propagation Analysis of IQRF Technology for Smart Building ApplicationsMohammed Bouzidi0Nishu Gupta1Yaser Dalveren2Marshed Mohamed3Faouzi Alaya Cheikh4Mohammad Derawi5Department of Electronic Systems, Norwegian University of Science and Technology, 2821 Gjovik, NorwayDepartment of Electronic Systems, Norwegian University of Science and Technology, 2821 Gjovik, NorwayDepartment of Avionics, Atilim University, Incek Golbasi, 06830 Ankara, TurkeyDepartment of Electronics and Telecommunications Engineering, University of Dar es Salaam, Dar es Salaam 14112, TanzaniaDepartment of Computer Science, Norwegian University of Science and Technology, 2821 Gjovik, NorwayDepartment of Electronic Systems, Norwegian University of Science and Technology, 2821 Gjovik, NorwayOwing 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.https://www.mdpi.com/2079-9292/11/23/3972indoor propagation modelinternet of thingsIQRFpath loss channel modellingwireless sensor network |
| spellingShingle | Mohammed Bouzidi Nishu Gupta Yaser Dalveren Marshed Mohamed Faouzi Alaya Cheikh Mohammad Derawi Indoor Propagation Analysis of IQRF Technology for Smart Building Applications Electronics indoor propagation model internet of things IQRF path loss channel modelling wireless sensor network |
| title | Indoor Propagation Analysis of IQRF Technology for Smart Building Applications |
| title_full | Indoor Propagation Analysis of IQRF Technology for Smart Building Applications |
| title_fullStr | Indoor Propagation Analysis of IQRF Technology for Smart Building Applications |
| title_full_unstemmed | Indoor Propagation Analysis of IQRF Technology for Smart Building Applications |
| title_short | Indoor Propagation Analysis of IQRF Technology for Smart Building Applications |
| title_sort | indoor propagation analysis of iqrf technology for smart building applications |
| topic | indoor propagation model internet of things IQRF path loss channel modelling wireless sensor network |
| url | https://www.mdpi.com/2079-9292/11/23/3972 |
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