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Article

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Title

LoRaWAN Metering Infrastructure Planning in Smart Cities

Authors

[ 1 ] Instytut Sieci Teleinformatycznych, Wydział Informatyki i Telekomunikacji, Politechnika Poznańska | [ 2 ] Wydział Informatyki i Telekomunikacji, Politechnika Poznańska | [ P ] employee | [ D ] phd student

Scientific discipline (Law 2.0)

[2.3] Information and communication technology

Year of publication

2023

Published in

Applied Sciences

Journal year: 2023 | Journal volume: vol. 13 | Journal number: iss. 14

Article type

scientific article

Publication language

english

Keywords
EN
  • LoRaWAN
  • IoT
  • clustering
  • network optimization
  • smart city
  • AMI
Abstract

EN The planning of metering network infrastructure based on the concept of Internet of Things primarily involves the choice of available radio technology. Then, regardless of the type and availability of power sources, energy conservation should be one of the main optimization criteria. For this reason, LPWANs operating in unlicensed ISM bands appear to be a suitable solution in urban environments due to their sub 1 GHz propagation properties. High signal penetration and coverage make them applicable in urban areas with buildings and various obstacles. Therefore, this article presents solutions developed to support the planning process of implementing a LoRaWAN network infrastructure aimed at monitoring and collecting electricity meters data in smart cities. The study uses COST-231 Hata radio propagation model and proves that machine learning clustering algorithms significantly enhance network planing methods.

Pages (from - to)

8431-1 - 8431-14

DOI

10.3390/app13148431

URL

https://www.mdpi.com/2076-3417/13/14/8431

Comments

article number: 8431

License type

CC BY (attribution alone)

Open Access Mode

open journal

Open Access Text Version

final published version

Date of Open Access to the publication

at the time of publication

Full text of article

Download file

Access level to full text

public

Ministry points / journal

100

Impact Factor

2,7 [List 2022]

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