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Performance of Narrow Band Wide Area Networks with Gateway Diversity

This paper quantifies the coverage area of Low-Power Wide-Area Networks (LPWAN) for Packet Success Rates (PSR) above 85%, where acceptable Quality of Service (QoS) can be achieved. The network consists of battery-operated end-nodes (ENs) and multiple stationary gateways (GWs). We consider asynchrono...

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Detalles Bibliográficos
Autores principales: Can, Başak, Karaoğlu, Bora, Bhat, Uttam, Gencel, Muhammed Faruk, Chen, Thomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9695022/
https://www.ncbi.nlm.nih.gov/pubmed/36433427
http://dx.doi.org/10.3390/s22228831
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author Can, Başak
Karaoğlu, Bora
Bhat, Uttam
Gencel, Muhammed Faruk
Chen, Thomas
author_facet Can, Başak
Karaoğlu, Bora
Bhat, Uttam
Gencel, Muhammed Faruk
Chen, Thomas
author_sort Can, Başak
collection PubMed
description This paper quantifies the coverage area of Low-Power Wide-Area Networks (LPWAN) for Packet Success Rates (PSR) above 85%, where acceptable Quality of Service (QoS) can be achieved. The network consists of battery-operated end-nodes (ENs) and multiple stationary gateways (GWs). We consider asynchronous communication that uses ALOHA-based random channel access. Each transmission from the ENs can be received by multiple GWs. Such spatial diversity results in favorable Signal-to-Noise ratios (SNR). The LoRa modulation is assumed and its specific features, such as IQ inversion, further contribute to decreasing the impact of interference. An increase in the GW density improves network performance, which allows support for a larger density of end-nodes as well as increasing the coverage area. Our simulation results show that a suburban area of up to 1.44 km(2) can be covered with five GWs with up to fifty end-nodes with a PSR greater than 86%.
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spelling pubmed-96950222022-11-26 Performance of Narrow Band Wide Area Networks with Gateway Diversity Can, Başak Karaoğlu, Bora Bhat, Uttam Gencel, Muhammed Faruk Chen, Thomas Sensors (Basel) Article This paper quantifies the coverage area of Low-Power Wide-Area Networks (LPWAN) for Packet Success Rates (PSR) above 85%, where acceptable Quality of Service (QoS) can be achieved. The network consists of battery-operated end-nodes (ENs) and multiple stationary gateways (GWs). We consider asynchronous communication that uses ALOHA-based random channel access. Each transmission from the ENs can be received by multiple GWs. Such spatial diversity results in favorable Signal-to-Noise ratios (SNR). The LoRa modulation is assumed and its specific features, such as IQ inversion, further contribute to decreasing the impact of interference. An increase in the GW density improves network performance, which allows support for a larger density of end-nodes as well as increasing the coverage area. Our simulation results show that a suburban area of up to 1.44 km(2) can be covered with five GWs with up to fifty end-nodes with a PSR greater than 86%. MDPI 2022-11-15 /pmc/articles/PMC9695022/ /pubmed/36433427 http://dx.doi.org/10.3390/s22228831 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/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/).
spellingShingle Article
Can, Başak
Karaoğlu, Bora
Bhat, Uttam
Gencel, Muhammed Faruk
Chen, Thomas
Performance of Narrow Band Wide Area Networks with Gateway Diversity
title Performance of Narrow Band Wide Area Networks with Gateway Diversity
title_full Performance of Narrow Band Wide Area Networks with Gateway Diversity
title_fullStr Performance of Narrow Band Wide Area Networks with Gateway Diversity
title_full_unstemmed Performance of Narrow Band Wide Area Networks with Gateway Diversity
title_short Performance of Narrow Band Wide Area Networks with Gateway Diversity
title_sort performance of narrow band wide area networks with gateway diversity
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9695022/
https://www.ncbi.nlm.nih.gov/pubmed/36433427
http://dx.doi.org/10.3390/s22228831
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