Evidence map›Paper›PMID 31684133›Full record

ArticleSensors (Basel, Switzerland)2019

Internet of Unmanned Aerial Vehicles-A Multilayer Low-Altitude Airspace Model for Distributed UAV Traffic Management.

Nader S Labib, Grégoire Danoy, Jedrzej Musial, Matthias R Brust, Pascal Bouvry

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2019. 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

5 authors.

Nader S LabibSnT-University of Luxembourg, L-4364 Esch-Sur-Alzette, Luxembourg. nader.samir@uni.lu.ORCID 0000-0002-2398-5012
Grégoire DanoySnT-University of Luxembourg, L-4364 Esch-Sur-Alzette, Luxembourg. gregoire.danoy@uni.lu.ORCID 0000-0001-9419-4210
Jedrzej MusialInstitute of Computing Science, Poznań University of Technology, 60-965 Poznań, Poland. jedrzej.musial@cs.put.poznan.pl.
Matthias R BrustSnT-University of Luxembourg, L-4364 Esch-Sur-Alzette, Luxembourg. matthias.brust@uni.lu.
Pascal BouvrySnT-University of Luxembourg, L-4364 Esch-Sur-Alzette, Luxembourg. pascal.bouvry@uni.lu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rapid adoption of Internet of Things (IoT) has encouraged the integration of new connected devices such as Unmanned Aerial Vehicles (UAVs) to the ubiquitous network. UAVs promise a pragmatic solution to the limitations of existing terrestrial IoT infrastructure as well as bring new means of delivering IoT services through a wide range of applications. Owning to their potential, UAVs are expected to soon dominate the low-altitude airspace over populated cities. This introduces new research challenges such as the safe management of UAVs operation under high traffic demands. This paper proposes a novel way of structuring the uncontrolled, low-altitude airspace, with the aim of addressing the complex problem of UAV traffic management at an abstract level. The work, hence, introduces a model of the airspace as a weighted multilayer network of nodes and airways and presents a set of experimental simulation results using three UAV traffic management heuristics.

Indexed as

autonomous unmanned aerial vehiclesInternet of Thingslow-altitude airspacemultilayer networkstraffic management

Identifiers

PMID31684133
PMCPMC6864550

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.