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Data Collection in an IoT Off-Grid Environment Systematic Mapping of Literature

The goal of this work is to present a systematic literature mapping (SLM) identifying algorithms for the search for data, determining the best path and types of communication between the local server and the drone, as well as possible simulators to validate proposed solutions. The concept, here cons...

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Autores principales: Goulart, Ademir, Pinto, Alex Sandro Roschildt, Boava, Adão, Branco, Kalinka
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9323632/
https://www.ncbi.nlm.nih.gov/pubmed/35891053
http://dx.doi.org/10.3390/s22145374
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author Goulart, Ademir
Pinto, Alex Sandro Roschildt
Boava, Adão
Branco, Kalinka
author_facet Goulart, Ademir
Pinto, Alex Sandro Roschildt
Boava, Adão
Branco, Kalinka
author_sort Goulart, Ademir
collection PubMed
description The goal of this work is to present a systematic literature mapping (SLM) identifying algorithms for the search for data, determining the best path and types of communication between the local server and the drone, as well as possible simulators to validate proposed solutions. The concept, here considered as IoT Off-Grid, is characterized by being an environment without commercial electrical infrastructure and without communication connected to the internet. IoT equipment generates data to be stored on a local server. It collects these data through a drone that searches each local server for later integration with the commercial internet environment. As a result, we have algorithms to determine the best path based on the TSP—travelling salesman problem. Different types of communication between the drone and the server contain the data, predominantly WiFi 802.11. As a simulator, OMNeT++ stands out.
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spelling pubmed-93236322022-07-27 Data Collection in an IoT Off-Grid Environment Systematic Mapping of Literature Goulart, Ademir Pinto, Alex Sandro Roschildt Boava, Adão Branco, Kalinka Sensors (Basel) Communication The goal of this work is to present a systematic literature mapping (SLM) identifying algorithms for the search for data, determining the best path and types of communication between the local server and the drone, as well as possible simulators to validate proposed solutions. The concept, here considered as IoT Off-Grid, is characterized by being an environment without commercial electrical infrastructure and without communication connected to the internet. IoT equipment generates data to be stored on a local server. It collects these data through a drone that searches each local server for later integration with the commercial internet environment. As a result, we have algorithms to determine the best path based on the TSP—travelling salesman problem. Different types of communication between the drone and the server contain the data, predominantly WiFi 802.11. As a simulator, OMNeT++ stands out. MDPI 2022-07-19 /pmc/articles/PMC9323632/ /pubmed/35891053 http://dx.doi.org/10.3390/s22145374 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Communication
Goulart, Ademir
Pinto, Alex Sandro Roschildt
Boava, Adão
Branco, Kalinka
Data Collection in an IoT Off-Grid Environment Systematic Mapping of Literature
title Data Collection in an IoT Off-Grid Environment Systematic Mapping of Literature
title_full Data Collection in an IoT Off-Grid Environment Systematic Mapping of Literature
title_fullStr Data Collection in an IoT Off-Grid Environment Systematic Mapping of Literature
title_full_unstemmed Data Collection in an IoT Off-Grid Environment Systematic Mapping of Literature
title_short Data Collection in an IoT Off-Grid Environment Systematic Mapping of Literature
title_sort data collection in an iot off-grid environment systematic mapping of literature
topic Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9323632/
https://www.ncbi.nlm.nih.gov/pubmed/35891053
http://dx.doi.org/10.3390/s22145374
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