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Defragmenting the 6LoWPAN Fragmentation Landscape: A Performance Evaluation

Abstract : 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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https://hal.archives-ouvertes.fr/hal-03352772
Contributor : Remous-Aris Koutsiamanis Connect in order to contact the contributor
Submitted on : Thursday, September 23, 2021 - 2:52:11 PM
Last modification on : Tuesday, October 19, 2021 - 11:04:37 AM

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Amaury Bruniaux, Remous-Aris Koutsiamanis, Georgios Papadopoulos, Nicolas Montavont. Defragmenting the 6LoWPAN Fragmentation Landscape: A Performance Evaluation. Sensors, MDPI, 2021, 21 (5), pp.1-20. ⟨10.3390/s21051711⟩. ⟨hal-03352772⟩

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