Evidence map›Paper›PMID 30049959›Full record

ArticleSensors (Basel, Switzerland)2018

Narrowband Characterization of Near-Ground Radio Channel for Wireless Sensors Networks at 5G-IoT Bands.

Hicham Klaina, Ana Vazquez Alejos, Otman Aghzout, Francisco Falcone

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Low-Power IoT for Monitoring Unconnected Remote Areas.Sensors (Basel, Switzerland) · 2023
    Article
  3. Review
  4. Article
  5. Article
  6. Article
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

4 authors.

Hicham KlainaDepartment of Signal theory and Communications, University of Vigo, 36310 Vigo, Spain. hklaina@uvigo.es.ORCID 0000-0001-7404-6413
Ana Vazquez AlejosDepartment of Signal theory and Communications, University of Vigo, 36310 Vigo, Spain. analejos@uvigo.es.ORCID 0000-0003-3426-2909
Otman AghzoutDepartment of Telecommunications, ENSA, LabSit-FS, Abdelmalek Essaadi University, 93030 Tetouan, Morocco. o.aghzout@gmail.com.ORCID 0000-0001-9097-8069
Francisco FalconeDepartment of Electronic and Electrical Engineering, Public University of Navarre, 31006 Pamplona, Spain. francisco.falcone@unavarra.es.ORCID 0000-0002-4911-9753

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this contribution, a narrowband radio channel model is proposed for rural scenarios in which the radio link operates under near-ground conditions for application in wireless sensor networks dedicated to smart agriculture. The received power attenuation was measured for both transmitter and receiver antennas placed at two different heights above ground: 0.2 and 0.4 m. Three frequency ranges, proposed for future 5G-IoT use case in agriculture, were chosen: 868 MHz, 2.4 GHz and 5.8 GHz. Three ground coverings were tested in a rural scenario: soil, short and tall grass fields. The path loss was then estimated as dependent of the radio link range and a three-slope log-normal path loss model was tailored. Results are explained in terms of the first Fresnel zone obstruction. Commercial Zigbee sensor nodes operating at 2.4 GHz were used in a second experiment to estimate the link quality from the experimental Radio Signal Strength Indicator (RSSI) received values. Two sensor nodes were placed at the same elevation above ground as in the previous experiment, only for short grass field case. The Quality of Service performance was determined in terms of theoretical bit error rate achieved for different digital modulations-BPSK, 8PSK and 16QAM-concluding remarkable results for an obstructed radio link.

Indexed as

5GInternet of Thingslog-distancenear-groundQoSradio channel modelsmart agriculturewireless sensor networks

Identifiers

PMID30049959
PMCPMC6111734

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.