University of Oulu

J. M. d. S. Sant’Ana, A. Hoeller, R. D. Souza, S. Montejo-Sánchez, H. Alves and M. d. Noronha-Neto, "Hybrid Coded Replication in LoRa Networks," in IEEE Transactions on Industrial Informatics, vol. 16, no. 8, pp. 5577-5585, Aug. 2020,

Hybrid coded replication in LoRa networks

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Author: de Souza Sant’Ana, Jean Michel1; Hoeller, Arliones1,2,3; Souza, Richard Demo3;
Organizations: 1Centre for Wireless Communications, University of Oulu, Oulu, Finland
2Department of Telecommunications, Federal Institute for Education, Science and Technology of Santa Catarina, São José, Brazil
3Department of Electrical and Electronics Engineering, Federal University of Santa Catarina, Florianóplis, Brazil
4Programa Institucional de Fomento a la I+D+i, Universidad Tecnol´ogica Metropolitana, Santiago, Chile
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.5 MB)
Persistent link:
Language: English
Published: Institute of Electrical and Electronics Engineers, 2020
Publish Date: 2020-01-23


Low Power Wide Area Networks (LPWAN) are wireless connectivity solutions for Internet-of-Things (IoT) applications, including industrial automation. Among the several LPWAN technologies, LoRaWAN has been extensively addressed by the research community and the industry. However, the reliability and scalability of LoRaWAN are still uncertain. One of the techniques to increase the reliability of LoRaWAN is message replication, which exploits time diversity. This paper proposes a novel hybrid coded message replication scheme that interleaves simple repetition and a recently proposed coded replication method. We analyze the optimization of the proposed scheme under minimum reliability requirements and show that it enhances the network performance without requiring additional transmit power compared to the competing replication techniques.

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Series: IEEE transactions on industrial informatics
ISSN: 1551-3203
ISSN-E: 1941-0050
ISSN-L: 1551-3203
Volume: 16
Issue: 8
Pages: 5577 - 5585
DOI: 10.1109/TII.2020.2966120
Type of Publication: A1 Journal article – refereed
Field of Science: 213 Electronic, automation and communications engineering, electronics
Funding: This work has been partially supported in Brazil by CNPq, FUMDESUNIEDU, Print CAPES-UFSC Project Automation 4.0, and INESC Brazil Project F-LOCO (Energisa/ANEEL PD-00405-1804/2018); in Finland by Academy of Finland (Aka) 6Genesis Flagship (Grant 318927), EE-IoT (Grant 319008), Aka Prof (Grant 307492), and FIREMAN (Grant 326301); and in Chile by FONDECYT Postdoctoral (Grant 3170021).
Academy of Finland Grant Number: 318927
Detailed Information: 318927 (Academy of Finland Funding decision)
319008 (Academy of Finland Funding decision)
307492 (Academy of Finland Funding decision)
326301 (Academy of Finland Funding decision)
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