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Success Probability Characterization of Long-Range in Low-Power Wide Area Networks
In low-power wide area networks (LPWAN), a considerable number of end devices (EDs) communicate with the gateway in a certain area, whereas for transmitted data, a low data rate and high latency are allowed. Long-range (LoRa), as one of the LPWAN technologies, considers pure ALOHA and chirp spread s...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7730519/ https://www.ncbi.nlm.nih.gov/pubmed/33266192 http://dx.doi.org/10.3390/s20236861 |
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author | Kim, Yi-Kang Kim, Seung-Yeon |
author_facet | Kim, Yi-Kang Kim, Seung-Yeon |
author_sort | Kim, Yi-Kang |
collection | PubMed |
description | In low-power wide area networks (LPWAN), a considerable number of end devices (EDs) communicate with the gateway in a certain area, whereas for transmitted data, a low data rate and high latency are allowed. Long-range (LoRa), as one of the LPWAN technologies, considers pure ALOHA and chirp spread spectrum (CSS) in the media access control (MAC) and physical (PHY) layers such that it can improve the energy efficiency while mitigating inter-cell interference (ICI). This paper investigates the system throughput of LoRa networks under the assumption that the interferences between EDs for exclusive regions are ignored using CSS. In order to establish an analytical model for the performance of LoRa, we introduce the pure ALOHA capture model, which is the power threshold model. For this model, we assume that the interfering power is proportional to the length of the time overlapped. In addition, we discuss LoRa gain by comparing the total throughput of LoRa with that of non-CSS. |
format | Online Article Text |
id | pubmed-7730519 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-77305192020-12-12 Success Probability Characterization of Long-Range in Low-Power Wide Area Networks Kim, Yi-Kang Kim, Seung-Yeon Sensors (Basel) Letter In low-power wide area networks (LPWAN), a considerable number of end devices (EDs) communicate with the gateway in a certain area, whereas for transmitted data, a low data rate and high latency are allowed. Long-range (LoRa), as one of the LPWAN technologies, considers pure ALOHA and chirp spread spectrum (CSS) in the media access control (MAC) and physical (PHY) layers such that it can improve the energy efficiency while mitigating inter-cell interference (ICI). This paper investigates the system throughput of LoRa networks under the assumption that the interferences between EDs for exclusive regions are ignored using CSS. In order to establish an analytical model for the performance of LoRa, we introduce the pure ALOHA capture model, which is the power threshold model. For this model, we assume that the interfering power is proportional to the length of the time overlapped. In addition, we discuss LoRa gain by comparing the total throughput of LoRa with that of non-CSS. MDPI 2020-11-30 /pmc/articles/PMC7730519/ /pubmed/33266192 http://dx.doi.org/10.3390/s20236861 Text en © 2020 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 (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Letter Kim, Yi-Kang Kim, Seung-Yeon Success Probability Characterization of Long-Range in Low-Power Wide Area Networks |
title | Success Probability Characterization of Long-Range in Low-Power Wide Area Networks |
title_full | Success Probability Characterization of Long-Range in Low-Power Wide Area Networks |
title_fullStr | Success Probability Characterization of Long-Range in Low-Power Wide Area Networks |
title_full_unstemmed | Success Probability Characterization of Long-Range in Low-Power Wide Area Networks |
title_short | Success Probability Characterization of Long-Range in Low-Power Wide Area Networks |
title_sort | success probability characterization of long-range in low-power wide area networks |
topic | Letter |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7730519/ https://www.ncbi.nlm.nih.gov/pubmed/33266192 http://dx.doi.org/10.3390/s20236861 |
work_keys_str_mv | AT kimyikang successprobabilitycharacterizationoflongrangeinlowpowerwideareanetworks AT kimseungyeon successprobabilitycharacterizationoflongrangeinlowpowerwideareanetworks |