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...

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Main Authors: Amaury Bruniaux, Remous-Aris Koutsiamanis, Georgios Z. Papadopoulos, Nicolas Montavont
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/21/5/1711
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author Amaury Bruniaux
Remous-Aris Koutsiamanis
Georgios Z. Papadopoulos
Nicolas Montavont
author_facet Amaury Bruniaux
Remous-Aris Koutsiamanis
Georgios Z. Papadopoulos
Nicolas Montavont
author_sort Amaury Bruniaux
collection DOAJ
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.
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spelling doaj.art-277bc3a443c94eccb5d5322d2ea87d7f2023-12-03T12:11:02ZengMDPI AGSensors1424-82202021-03-01215171110.3390/s21051711Defragmenting the 6LoWPAN Fragmentation Landscape: A Performance EvaluationAmaury Bruniaux0Remous-Aris Koutsiamanis1Georgios Z. Papadopoulos2Nicolas Montavont3IMT Atlantique, IRISA, 35000 Rennes, FranceIMT Atlantique, STACK (Inria/LS2N), 44000 Nantes, FranceIMT Atlantique, IRISA, 35000 Rennes, FranceIMT Atlantique, IRISA, 35000 Rennes, FranceThe 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.https://www.mdpi.com/1424-8220/21/5/1711Internet of Things (IoT)industrial IoT6LoWPANRFC 4944fragmentationfragment forwarding
spellingShingle Amaury Bruniaux
Remous-Aris Koutsiamanis
Georgios Z. Papadopoulos
Nicolas Montavont
Defragmenting the 6LoWPAN Fragmentation Landscape: A Performance Evaluation
Sensors
Internet of Things (IoT)
industrial IoT
6LoWPAN
RFC 4944
fragmentation
fragment forwarding
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 Internet of Things (IoT)
industrial IoT
6LoWPAN
RFC 4944
fragmentation
fragment forwarding
url https://www.mdpi.com/1424-8220/21/5/1711
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AT nicolasmontavont defragmentingthe6lowpanfragmentationlandscapeaperformanceevaluation