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An On-Demand TDMA Approach Optimized for Low-Latency IoT Applications

The never-ending evolution of the Internet of Things ecosystem is reshaping the arena of wireless communications and competing against conventional networking solutions in fields such as battery life, device and deployment cost, coverage, and support for an immense number of devices. Inspired by thi...

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Autores principales: Prapas, Antonios, Kantelis, Konstantinos F., Nicopolitidis, Petros, Papadimitriou, Georgios I.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9460140/
https://www.ncbi.nlm.nih.gov/pubmed/36080921
http://dx.doi.org/10.3390/s22176461
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author Prapas, Antonios
Kantelis, Konstantinos F.
Nicopolitidis, Petros
Papadimitriou, Georgios I.
author_facet Prapas, Antonios
Kantelis, Konstantinos F.
Nicopolitidis, Petros
Papadimitriou, Georgios I.
author_sort Prapas, Antonios
collection PubMed
description The never-ending evolution of the Internet of Things ecosystem is reshaping the arena of wireless communications and competing against conventional networking solutions in fields such as battery life, device and deployment cost, coverage, and support for an immense number of devices. Inspired by this phenomenon, this paper presents a novel Medium Access Control protocol utilizing long-range technology, based on a Time Division Multiple Access communication protocol variant, adjusted to make better use of each device’s hardware. Focusing on Low Power Wide Area Network applications, this implementation improves data latency and offers amplified performance due to better network awareness and dynamic time slot rescheduling. Various simulation scenarios were contrived to evaluate the protocol’s performance. The results instate the proposed algorithm as a promising access scheme for the IoT field.
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spelling pubmed-94601402022-09-10 An On-Demand TDMA Approach Optimized for Low-Latency IoT Applications Prapas, Antonios Kantelis, Konstantinos F. Nicopolitidis, Petros Papadimitriou, Georgios I. Sensors (Basel) Communication The never-ending evolution of the Internet of Things ecosystem is reshaping the arena of wireless communications and competing against conventional networking solutions in fields such as battery life, device and deployment cost, coverage, and support for an immense number of devices. Inspired by this phenomenon, this paper presents a novel Medium Access Control protocol utilizing long-range technology, based on a Time Division Multiple Access communication protocol variant, adjusted to make better use of each device’s hardware. Focusing on Low Power Wide Area Network applications, this implementation improves data latency and offers amplified performance due to better network awareness and dynamic time slot rescheduling. Various simulation scenarios were contrived to evaluate the protocol’s performance. The results instate the proposed algorithm as a promising access scheme for the IoT field. MDPI 2022-08-27 /pmc/articles/PMC9460140/ /pubmed/36080921 http://dx.doi.org/10.3390/s22176461 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
Prapas, Antonios
Kantelis, Konstantinos F.
Nicopolitidis, Petros
Papadimitriou, Georgios I.
An On-Demand TDMA Approach Optimized for Low-Latency IoT Applications
title An On-Demand TDMA Approach Optimized for Low-Latency IoT Applications
title_full An On-Demand TDMA Approach Optimized for Low-Latency IoT Applications
title_fullStr An On-Demand TDMA Approach Optimized for Low-Latency IoT Applications
title_full_unstemmed An On-Demand TDMA Approach Optimized for Low-Latency IoT Applications
title_short An On-Demand TDMA Approach Optimized for Low-Latency IoT Applications
title_sort on-demand tdma approach optimized for low-latency iot applications
topic Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9460140/
https://www.ncbi.nlm.nih.gov/pubmed/36080921
http://dx.doi.org/10.3390/s22176461
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