Evidence map›Paper›PMID 36850890›Full record

ArticleSensors (Basel, Switzerland)2023

UAV-Based Servicing of IoT Nodes: Assessment of Ecological Impact.

Jarne Van Mulders, Jona Cappelle, Sarah Goossens, Lieven De Strycker, Liesbet Van der Perre

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Jarne Van MuldersESAT-DRAMCO, Ghent Technology Campus, KU Leuven, 9000 Ghent, Belgium.ORCID 0000-0003-4103-3290
Jona CappelleESAT-DRAMCO, Ghent Technology Campus, KU Leuven, 9000 Ghent, Belgium.ORCID 0000-0002-2084-9875
Sarah GoossensESAT-DRAMCO, Ghent Technology Campus, KU Leuven, 9000 Ghent, Belgium.ORCID 0000-0001-7525-1179
Lieven De StryckerESAT-DRAMCO, Ghent Technology Campus, KU Leuven, 9000 Ghent, Belgium.ORCID 0000-0001-8172-9650
Liesbet Van der PerreESAT-DRAMCO, Ghent Technology Campus, KU Leuven, 9000 Ghent, Belgium.ORCID 0000-0002-9158-9628

Funding

European Union No. 101013425
6 · The paper itself

Abstract

Internet of Things (IoT) nodes get deployed for a variety of applications and often need to operate on batteries. This restricts their autonomy and/or can have a major ecological impact. The core idea of this paper is to use a unmanned aerial vehicle (UAV) to provide energy to IoT nodes, and hence prolong their autonomy. In particular, the objective is to perform a comparison of the total energy consumption resulting from UAV-based recharging or battery replacement versus full provisioning at install time or remote RF-based wireless power transfer. To that end, an energy consumption model for a small license-free UAV is derived, and expressions for system efficiencies are formulated. An exploration of design and deployment parameters is performed. Our assessment shows that UAV-based servicing of IoT nodes is by far more beneficial in terms of energy efficiency when nodes at distances further than a few meters are serviced, with the gap increasing to orders of magnitude with the distance. Our numerical results also show that battery swapping from an energy perspective outperforms recharging in the field, as the latter increases hovering time and the energy consumption related to that considerably. The ecological aspects of the proposed methods are further evaluated, e.g., considering toxic materials and e-waste.

Indexed as

energy efficiencyInternet of Thingssustainabilitywireless power transfer

Identifiers

PMID36850890
PMCPMC9959686

What OpenQuestion holds

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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.