Evidence map›Paper›PMID 35957483›Full record

ArticleSensors (Basel, Switzerland)2022

Data Collection from Buried Sensor Nodes by Means of an Unmanned Aerial Vehicle.

Christophe Cariou, Laure Moiroux-Arvis, François Pinet, Jean-Pierre Chanet

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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Christophe CariouINRAE, UR TSCF, University of Clermont Auvergne, 9 Av. Blaise Pascal CS 20085, F-63178 Aubiere, France.
Laure Moiroux-ArvisINRAE, UR TSCF, University of Clermont Auvergne, 9 Av. Blaise Pascal CS 20085, F-63178 Aubiere, France.
François PinetINRAE, UR TSCF, University of Clermont Auvergne, 9 Av. Blaise Pascal CS 20085, F-63178 Aubiere, France.
Jean-Pierre ChanetINRAE, UR TSCF, University of Clermont Auvergne, 9 Av. Blaise Pascal CS 20085, F-63178 Aubiere, France.ORCID 0000-0002-7011-4535

Funding

Agence Nationale de la Recherche 16-IDEX-0001
6 · The paper itself

Abstract

The development of Wireless Underground Sensor Networks (WUSNs) is a recent research axis based on sensor nodes buried a few dozen centimeters deep. The communication ranges are, however, highly reduced due to the high attenuation of electromagnetic waves in soil, leading to issues of data collection. This paper proposes to embed a data collector on an Unmanned Aerial Vehicle (UAV) coming close to each buried sensor node. The whole system was developed (sensor nodes, data collector, gateway) and experimentations were carried out in real conditions. In hovering mode, the measurements on the RSSI levels with respect to the position of the UAV highlight the interest in maintaining a high altitude when the UAV is far from the node. In dynamic mode, the experimental results demonstrate the feasibility of carrying out the data collection task while the UAV is moving. The speed of the UAV has, however, to be adapted to the required time to collect the data. In the case of numerous buried sensor nodes, evolutionary algorithms are implemented to plan the trajectory of the UAV optimally. To the best of our knowledge, this paper is the first one that reports experiment results combining WUSN and UAV technologies.

Indexed as

environmental monitoringevolutionary algorithmsInternet of Underground ThingsLoRaUnmanned Aerial VehicleWireless Underground Sensor NetworksZigBee

Identifiers

PMID35957483
PMCPMC9371389

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.