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Defragmenting the 6LoWPAN Fragmentation Landscape: A Performance Evaluation
The emergence of the Internet of Things (IoT) has made wireless connectivity ubiquitous and necessary. Extending the IoT to the Industrial Internet of Things (IIoT) places significant demands in terms of reliability on wireless connectivity. The Institute of Electrical and Electronics Engineers (IEE...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7958323/ https://www.ncbi.nlm.nih.gov/pubmed/33801306 http://dx.doi.org/10.3390/s21051711 |
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author | Bruniaux, Amaury Koutsiamanis, Remous-Aris Papadopoulos, Georgios Z. Montavont, Nicolas |
author_facet | Bruniaux, Amaury Koutsiamanis, Remous-Aris Papadopoulos, Georgios Z. Montavont, Nicolas |
author_sort | Bruniaux, Amaury |
collection | PubMed |
description | The emergence of the Internet of Things (IoT) has made wireless connectivity ubiquitous and necessary. Extending the IoT to the Industrial Internet of Things (IIoT) places significant demands in terms of reliability on wireless connectivity. The Institute of Electrical and Electronics Engineers (IEEE) Std 802.15.4-2015 standard was designed in response to these demands, and the IPv6 over Low power Wireless Personal Area Networks (6LoWPAN) adaptation layer was introduced to address (among other issues) its payload size limitations by performing packet compression and fragmentation. However, the standardised method does not cope well with low link-quality situations and, thus, we present the state-of-the-art Forward Error Correction (FEC) methods and introduce our own contribution, Network Coding FEC (NCFEC), to improve performance in these situations. We present and analyse the existing methods as well as our own theoretically, and we then implement them and perform an experimental evaluation using the 6TiSCH simulator. The simulation results demonstrate that when high reliability is required and only low quality links are available, NCFEC performs best, with a trade-off between additional network and computational overhead. In situations where the link quality can be guaranteed to be higher, simpler solutions also start to be feasible, but with reduced adaptation flexibility. |
format | Online Article Text |
id | pubmed-7958323 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-79583232021-03-16 Defragmenting the 6LoWPAN Fragmentation Landscape: A Performance Evaluation Bruniaux, Amaury Koutsiamanis, Remous-Aris Papadopoulos, Georgios Z. Montavont, Nicolas Sensors (Basel) Article The emergence of the Internet of Things (IoT) has made wireless connectivity ubiquitous and necessary. Extending the IoT to the Industrial Internet of Things (IIoT) places significant demands in terms of reliability on wireless connectivity. The Institute of Electrical and Electronics Engineers (IEEE) Std 802.15.4-2015 standard was designed in response to these demands, and the IPv6 over Low power Wireless Personal Area Networks (6LoWPAN) adaptation layer was introduced to address (among other issues) its payload size limitations by performing packet compression and fragmentation. However, the standardised method does not cope well with low link-quality situations and, thus, we present the state-of-the-art Forward Error Correction (FEC) methods and introduce our own contribution, Network Coding FEC (NCFEC), to improve performance in these situations. We present and analyse the existing methods as well as our own theoretically, and we then implement them and perform an experimental evaluation using the 6TiSCH simulator. The simulation results demonstrate that when high reliability is required and only low quality links are available, NCFEC performs best, with a trade-off between additional network and computational overhead. In situations where the link quality can be guaranteed to be higher, simpler solutions also start to be feasible, but with reduced adaptation flexibility. MDPI 2021-03-02 /pmc/articles/PMC7958323/ /pubmed/33801306 http://dx.doi.org/10.3390/s21051711 Text en © 2021 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Bruniaux, Amaury Koutsiamanis, Remous-Aris Papadopoulos, Georgios Z. Montavont, Nicolas Defragmenting the 6LoWPAN Fragmentation Landscape: A Performance Evaluation |
title | Defragmenting the 6LoWPAN Fragmentation Landscape: A Performance Evaluation |
title_full | Defragmenting the 6LoWPAN Fragmentation Landscape: A Performance Evaluation |
title_fullStr | Defragmenting the 6LoWPAN Fragmentation Landscape: A Performance Evaluation |
title_full_unstemmed | Defragmenting the 6LoWPAN Fragmentation Landscape: A Performance Evaluation |
title_short | Defragmenting the 6LoWPAN Fragmentation Landscape: A Performance Evaluation |
title_sort | defragmenting the 6lowpan fragmentation landscape: a performance evaluation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7958323/ https://www.ncbi.nlm.nih.gov/pubmed/33801306 http://dx.doi.org/10.3390/s21051711 |
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