University of Oulu

Fujdiak, R.; Mikhaylov, K.; Pospisil, J.; Povalac, A.; Misurec, J. Insights into the Issue of Deploying a Private LoRaWAN. Sensors 2022, 22, 2042. https://doi.org/10.3390/s22052042

Insights into the issue of deploying a private LoRaWAN

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Author: Fujdiak, Radek1; Mikhaylov, Konstantin2; Pospisil, Jan1;
Organizations: 1Faculty of Electrical Engineering and Communication, Brno University of Technology, Technicka 12, 61600 Brno, Czech Republic
2Centre for Wireless Communications, University of Oulu, Erkki Koiso-Kanttilan Katu 3, 90014 Oulu, Finland
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 4.4 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2022042530258
Language: English
Published: Multidisciplinary Digital Publishing Institute, 2022
Publish Date: 2022-04-25
Description:

Abstract

The last decade has transformed wireless access technologies and crystallized a new direction for the internet of things (IoT). The modern low-power wide-area network (LPWAN) technologies have been introduced to deliver connectivity for billions of devices while keeping the costs and consumption low, and the range of communication high. While the 5G (fifth generation mobile network) LPWAN-like radio technologies, namely NB-IoT (narrowband internet of things) and LTE-M (long-term evolution machine type communication) are emerging, the long-range wide-area network (LoRaWAN) remains extremely popular. One unique feature of this technology, which distinguishes it from the competitors, is the possibility of supporting both public and private network deployments. In this paper we focus on this aspect and deliver original results comparing the performance of the private and public LoRAWAN deployment options; these results should help understand the LoRaWAN technology and give a clear overview of the advantages and disadvantages of the private versus public approaches. Notably, we carry the comparison along the three dimensions: the communication performance, the security, and the cost analysis. The presented results illustratively demonstrate the differences of the two deployment approaches, and thus can support selection of the most efficient deployment option for a target application.

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Series: Sensors
ISSN: 1424-8220
ISSN-E: 1424-8220
ISSN-L: 1424-8220
Volume: 22
Issue: 5
Article number: 2042
DOI: 10.3390/s22052042
OADOI: https://oadoi.org/10.3390/s22052042
Type of Publication: A1 Journal article – refereed
Field of Science: 213 Electronic, automation and communications engineering, electronics
Subjects:
IoT
Funding: The research of this paper is a part of the project no. TK02030013 funded by Technology Agency of the Czech Republic. The research of K. Mikhaylov has been supported by the Academy of Finland 6Genesis Flagship (decision 318927), MRAT-SafeDrone (decision 341111) and RoboMesh (decision 336060) projects.
Academy of Finland Grant Number: 318927
341111
336060
Detailed Information: 318927 (Academy of Finland Funding decision)
341111 (Academy of Finland Funding decision)
336060 (Academy of Finland Funding decision)
Copyright information: © 2022 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 (https://creativecommons.org/licenses/by/4.0/).
  https://creativecommons.org/licenses/by/4.0/