Energy Efficient Data Recovery from Corrupted LoRa Frames

Niloofar Yazdani, Nikolaos Kouvelas, R. Venkatesha Prasad, Daniel E. Lucani

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

2 Citations (Scopus)
36 Downloads (Pure)

Abstract

High frame-corruption is widely observed in Long Range Wide Area Networks (LoRaWAN) due to the coexistence with other networks in ISM bands and an Aloha-like MAC layer. LoRa's Forward Error Correction (FEC) mechanism is often insufficient to retrieve corrupted data. In fact, real-life measurements show that at least one-fourth of received transmissions are corrupted. When more frames are dropped, LoRa nodes usually switch over to higher spreading factors (SF), thus increasing transmission times and increasing the required energy. This paper introduces ReDCoS, a novel coding technique at the application layer that improves recovery of corrupted LoRa frames, thus reducing the overall transmission time and energy invested by LoRa nodes by several-fold. ReDCoS utilizes lightweight coding techniques to pre-encode the transmitted data. Therefore, the inbuilt Cyclic Redundancy Check (CRC) that follows is computed based on an already encoded data. At the receiver, we use both the CRC and the coded data to recover data from a corrupted frame beyond the built-in Error Correcting Code (ECC). We compare the performance of ReDCoS to (i) the standard FEC of vanilla-LoRaWAN, and to (ii) Reed Solomon (RS) coding applied as ECC to the data of LoRaWAN. The results indicated a 54x and 13.5x improvement of decoding ratio, respectively, when 20 data symbols were sent. Furthermore, we evaluated ReDCoS on-field using LoRa SX1261 transceivers showing that it outperformed RS-coding by factor of at least 2x (and up to 6x) in terms of the decoding ratio while consuming 38.5% less energy per correctly received transmission.
Original languageEnglish
Title of host publication2021 IEEE Global Communications Conference (GLOBECOM)
Subtitle of host publicationProceedings
Place of PublicationPiscataway
PublisherIEEE
Pages1-6
Number of pages6
ISBN (Electronic)978-1-7281-8104-2
ISBN (Print)978-1-7281-8105-9
DOIs
Publication statusPublished - 2021
Event 2021 IEEE Global Communications Conference (GLOBECOM) - Madrid, Spain
Duration: 7 Dec 202111 Dec 2021

Conference

Conference 2021 IEEE Global Communications Conference (GLOBECOM)
Country/TerritorySpain
CityMadrid
Period7/12/2111/12/21

Bibliographical note

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care

Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

  • LoRaWAN
  • Data recovery
  • Energy
  • CRC

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