Evidence map›Paper›PMID 36146363›Full record

ArticleSensors (Basel, Switzerland)2022

Propagation Measurements for IQRF Network in an Urban Environment.

Mohammed Bouzidi, Marshed Mohamed, Yaser Dalveren, Arild Moldsvor, Faouzi Alaya Cheikh, Mohammad Derawi

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Mohammed BouzidiDepartment of Electronic Systems, Norwegian University of Science and Technology, 2821 Gjøvik, Norway.ORCID 0000-0002-4858-7360
Marshed MohamedDepartment of Manufacturing and Civil Engineering, Norwegian University of Science and Technology, 2821 Gjøvik, Norway.ORCID 0000-0003-0203-0636
Yaser DalverenDepartment of Avionics, Atilim University, Incek Golbasi, Ankara 06830, Turkey.ORCID 0000-0002-9459-0042
Arild MoldsvorDepartment of Electronic Systems, Norwegian University of Science and Technology, 2821 Gjøvik, Norway.
Faouzi Alaya CheikhDepartment of Computer Science, Norwegian University of Science and Technology, 2821 Gjøvik, Norway.ORCID 0000-0002-4823-5250
Mohammad DerawiDepartment of Electronic Systems, Norwegian University of Science and Technology, 2821 Gjøvik, Norway.ORCID 0000-0003-0448-7613

Funding

Norwegian University of Science and Technology 0000633505
6 · The paper itself

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.

Indexed as

channel modellingIQRFpath losspropagationwireless sensor networks

Identifiers

PMID36146363
PMCPMC9502865

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.