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Assertive, Selective, Scalable IoT-Based Warning System
With the evolution of technology, developed systems have become more complex and faster. Thirty years ago, there were no protocols or databases dedicated to developing and implementing IoT projects. We currently have protocols such as MQTT, AMQP, CoAP, and databases such as InfluxDB. They are built...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8840114/ https://www.ncbi.nlm.nih.gov/pubmed/35161759 http://dx.doi.org/10.3390/s22031015 |
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author | Filip, Ion-Dorinel Iliescu, Cristian-Mihai Pop, Florin |
author_facet | Filip, Ion-Dorinel Iliescu, Cristian-Mihai Pop, Florin |
author_sort | Filip, Ion-Dorinel |
collection | PubMed |
description | With the evolution of technology, developed systems have become more complex and faster. Thirty years ago, there were no protocols or databases dedicated to developing and implementing IoT projects. We currently have protocols such as MQTT, AMQP, CoAP, and databases such as InfluxDB. They are built to support a multitude of data from an IoT system and scale very well with the system. This paper presents the design and implementation of an IoT alert system that uses MQTT and InfluxDB to collect and store data. We design a scalable system to display assertive alerts on a Raspberry Pi. Each user can select a subset of alerts in our system using a web interface. We present a bibliographic study of SoTA, the proposed architecture, the challenges posed by such a system, a set of tests for the performance and feasibility of the solution, and a set of conclusions and ideas for further developments. |
format | Online Article Text |
id | pubmed-8840114 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-88401142022-02-13 Assertive, Selective, Scalable IoT-Based Warning System Filip, Ion-Dorinel Iliescu, Cristian-Mihai Pop, Florin Sensors (Basel) Article With the evolution of technology, developed systems have become more complex and faster. Thirty years ago, there were no protocols or databases dedicated to developing and implementing IoT projects. We currently have protocols such as MQTT, AMQP, CoAP, and databases such as InfluxDB. They are built to support a multitude of data from an IoT system and scale very well with the system. This paper presents the design and implementation of an IoT alert system that uses MQTT and InfluxDB to collect and store data. We design a scalable system to display assertive alerts on a Raspberry Pi. Each user can select a subset of alerts in our system using a web interface. We present a bibliographic study of SoTA, the proposed architecture, the challenges posed by such a system, a set of tests for the performance and feasibility of the solution, and a set of conclusions and ideas for further developments. MDPI 2022-01-28 /pmc/articles/PMC8840114/ /pubmed/35161759 http://dx.doi.org/10.3390/s22031015 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 | Article Filip, Ion-Dorinel Iliescu, Cristian-Mihai Pop, Florin Assertive, Selective, Scalable IoT-Based Warning System |
title | Assertive, Selective, Scalable IoT-Based Warning System |
title_full | Assertive, Selective, Scalable IoT-Based Warning System |
title_fullStr | Assertive, Selective, Scalable IoT-Based Warning System |
title_full_unstemmed | Assertive, Selective, Scalable IoT-Based Warning System |
title_short | Assertive, Selective, Scalable IoT-Based Warning System |
title_sort | assertive, selective, scalable iot-based warning system |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8840114/ https://www.ncbi.nlm.nih.gov/pubmed/35161759 http://dx.doi.org/10.3390/s22031015 |
work_keys_str_mv | AT filipiondorinel assertiveselectivescalableiotbasedwarningsystem AT iliescucristianmihai assertiveselectivescalableiotbasedwarningsystem AT popflorin assertiveselectivescalableiotbasedwarningsystem |