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Microcontroller Unit-Based Wireless Sensor Network Nodes: A Review

In this paper, a detailed review of microcontroller unit (MCU)-based wireless sensor node platforms from recently published research articles is presented. Despite numerous research efforts in the fast-growing field of wireless sensor devices, energy consumption remains a challenge that limits the l...

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Autores principales: Khalifeh, Ala’, Mazunga, Felix, Nechibvute, Action, Nyambo, Benny Munyaradzi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9692273/
https://www.ncbi.nlm.nih.gov/pubmed/36433537
http://dx.doi.org/10.3390/s22228937
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author Khalifeh, Ala’
Mazunga, Felix
Nechibvute, Action
Nyambo, Benny Munyaradzi
author_facet Khalifeh, Ala’
Mazunga, Felix
Nechibvute, Action
Nyambo, Benny Munyaradzi
author_sort Khalifeh, Ala’
collection PubMed
description In this paper, a detailed review of microcontroller unit (MCU)-based wireless sensor node platforms from recently published research articles is presented. Despite numerous research efforts in the fast-growing field of wireless sensor devices, energy consumption remains a challenge that limits the lifetime of wireless sensor networks (WSNs). The Internet-of-Things (IoT) technology utilizes WSNs for providing an efficient sensing and communication infrastructure. Thus, a comparison of the existing wireless sensor nodes is crucial. Of particular interest are the advances in the recent MCU-based wireless sensor node platforms, which have become diverse and fairly advanced in relation to the currently available commercial WSN platforms. The recent wireless sensor nodes are compared with commercially available motes. The commercially available motes are selected based on a number of criteria including popularity, published results, interesting characteristics and features. Of particular interest is to understand the trajectory of development of these devices and the technologies so as to inform the research and application directions. The comparison is mainly based on processing and memory specifications, communication capabilities, power supply and consumption, sensor support, potential applications, node programming and hardware security. This paper attempts to provide a clear picture of the progress being made towards the design of autonomous wireless sensor nodes to avoid redundancy in research by industry and academia. This paper is expected to assist developers of wireless sensor nodes to produce improved designs that outperform the existing motes. Besides, this paper will guide researchers and potential users to easily make the best choice of a mote that best suits their specific application scenarios. A discussion on the wireless sensor node platforms is provided, and challenges and future research directions are also outlined.
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spelling pubmed-96922732022-11-26 Microcontroller Unit-Based Wireless Sensor Network Nodes: A Review Khalifeh, Ala’ Mazunga, Felix Nechibvute, Action Nyambo, Benny Munyaradzi Sensors (Basel) Review In this paper, a detailed review of microcontroller unit (MCU)-based wireless sensor node platforms from recently published research articles is presented. Despite numerous research efforts in the fast-growing field of wireless sensor devices, energy consumption remains a challenge that limits the lifetime of wireless sensor networks (WSNs). The Internet-of-Things (IoT) technology utilizes WSNs for providing an efficient sensing and communication infrastructure. Thus, a comparison of the existing wireless sensor nodes is crucial. Of particular interest are the advances in the recent MCU-based wireless sensor node platforms, which have become diverse and fairly advanced in relation to the currently available commercial WSN platforms. The recent wireless sensor nodes are compared with commercially available motes. The commercially available motes are selected based on a number of criteria including popularity, published results, interesting characteristics and features. Of particular interest is to understand the trajectory of development of these devices and the technologies so as to inform the research and application directions. The comparison is mainly based on processing and memory specifications, communication capabilities, power supply and consumption, sensor support, potential applications, node programming and hardware security. This paper attempts to provide a clear picture of the progress being made towards the design of autonomous wireless sensor nodes to avoid redundancy in research by industry and academia. This paper is expected to assist developers of wireless sensor nodes to produce improved designs that outperform the existing motes. Besides, this paper will guide researchers and potential users to easily make the best choice of a mote that best suits their specific application scenarios. A discussion on the wireless sensor node platforms is provided, and challenges and future research directions are also outlined. MDPI 2022-11-18 /pmc/articles/PMC9692273/ /pubmed/36433537 http://dx.doi.org/10.3390/s22228937 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 Review
Khalifeh, Ala’
Mazunga, Felix
Nechibvute, Action
Nyambo, Benny Munyaradzi
Microcontroller Unit-Based Wireless Sensor Network Nodes: A Review
title Microcontroller Unit-Based Wireless Sensor Network Nodes: A Review
title_full Microcontroller Unit-Based Wireless Sensor Network Nodes: A Review
title_fullStr Microcontroller Unit-Based Wireless Sensor Network Nodes: A Review
title_full_unstemmed Microcontroller Unit-Based Wireless Sensor Network Nodes: A Review
title_short Microcontroller Unit-Based Wireless Sensor Network Nodes: A Review
title_sort microcontroller unit-based wireless sensor network nodes: a review
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9692273/
https://www.ncbi.nlm.nih.gov/pubmed/36433537
http://dx.doi.org/10.3390/s22228937
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