Evidence map›Paper›PMID 30477189›Full record

ArticleSensors (Basel, Switzerland)2018

Adaptable and Automated Small UAV Deployments via Virtualization.

Borja Nogales, Victor Sanchez-Aguero, Ivan Vidal, Francisco Valera

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.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

4 authors.

Borja NogalesTelematic Engineering Department, Universidad Carlos III de Madrid, Avda. Universidad, 30, 28911 Leganés (Madrid), Spain. bdorado@pa.uc3m.es.ORCID 0000-0002-5508-5414
Victor Sanchez-AgueroTelematic Engineering Department, Universidad Carlos III de Madrid, Avda. Universidad, 30, 28911 Leganés (Madrid), Spain. victor.sanchez@imdea.org.
Ivan VidalTelematic Engineering Department, Universidad Carlos III de Madrid, Avda. Universidad, 30, 28911 Leganés (Madrid), Spain. ividal@it.uc3m.es.ORCID 0000-0001-7381-971X
Francisco ValeraTelematic Engineering Department, Universidad Carlos III de Madrid, Avda. Universidad, 30, 28911 Leganés (Madrid), Spain. fvalera@it.uc3m.es.ORCID 0000-0001-5056-0573

Funding

5GCity project funded by the Spanish Ministry of Economy and Competitiveness TEC2016-76795-C6-3-REuropean H2020 5GinFIRE project 732497
6 · The paper itself

Abstract

In this paper, we present a practical solution to support the adaptable and automated deployment of applications of Small Unmanned Aerial Vehicles (SUAVs). Our solution is based on virtualization technologies, and considers SUAVs as programmable network platforms capable of executing virtual functions and services, which may be dynamically selected according to the requirements specified by the operator of the aerial vehicles. This way, SUAVs can be flexibly and rapidly adapted to different missions with heterogeneous objectives. The design of our solution is based on Network Function Virtualization (NFV) technologies, developed under the umbrella of the fifth generation of mobile networks (5G), as well as on existing Internet protocol standards, including flying ad hoc network routing protocols. We implemented a functional prototype of our solution using well-known open source technologies, and we demonstrated its practical feasibility with the execution of an IP telephony service. This service was implemented as a set of virtualized network functions, which were automatically deployed and interconnected over an infrastructure of SUAVs, being the telephony service tested with real voice-over-IP terminals.

Indexed as

Adaptable SUAV deploymentsNetwork Functions Virtualization (NFV)Small Unmanned Aerial Vehicles (SUAVs)

Identifiers

PMID30477189
PMCPMC6308687

What OpenQuestion holds

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LicenceCC BY
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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.