Cargando…

Low Power Wide Area Network, Cognitive Radio and the Internet of Things: Potentials for Integration

The Internet of Things (IoT) is an emerging paradigm that enables many beneficial and prospective application areas, such as smart metering, smart homes, smart industries, and smart city architectures, to name but a few. These application areas typically comprise end nodes and gateways that are ofte...

Descripción completa

Detalles Bibliográficos
Autores principales: Onumanyi, Adeiza J., Abu-Mahfouz, Adnan M., Hancke, Gerhard P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7730835/
https://www.ncbi.nlm.nih.gov/pubmed/33265899
http://dx.doi.org/10.3390/s20236837
_version_ 1783621775733555200
author Onumanyi, Adeiza J.
Abu-Mahfouz, Adnan M.
Hancke, Gerhard P.
author_facet Onumanyi, Adeiza J.
Abu-Mahfouz, Adnan M.
Hancke, Gerhard P.
author_sort Onumanyi, Adeiza J.
collection PubMed
description The Internet of Things (IoT) is an emerging paradigm that enables many beneficial and prospective application areas, such as smart metering, smart homes, smart industries, and smart city architectures, to name but a few. These application areas typically comprise end nodes and gateways that are often interconnected by low power wide area network (LPWAN) technologies, which provide low power consumption rates to elongate the battery lifetimes of end nodes, low IoT device development/purchasing costs, long transmission range, and increased scalability, albeit at low data rates. However, most LPWAN technologies are often confronted with a number of physical (PHY) layer challenges, including increased interference, spectral inefficiency, and/or low data rates for which cognitive radio (CR), being a predominantly PHY layer solution, suffices as a potential solution. Consequently, in this article, we survey the potentials of integrating CR in LPWAN for IoT-based applications. First, we present and discuss a detailed list of different state-of-the-art LPWAN technologies; we summarize the most recent LPWAN standardization bodies, alliances, and consortia while emphasizing their disposition towards the integration of CR in LPWAN. We then highlight the concept of CR in LPWAN via a PHY-layer front-end model and discuss the benefits of CR-LPWAN for IoT applications. A number of research challenges and future directions are also presented. This article aims to provide a unique and holistic overview of CR in LPWAN with the intention of emphasizing its potential benefits.
format Online
Article
Text
id pubmed-7730835
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-77308352020-12-12 Low Power Wide Area Network, Cognitive Radio and the Internet of Things: Potentials for Integration Onumanyi, Adeiza J. Abu-Mahfouz, Adnan M. Hancke, Gerhard P. Sensors (Basel) Review The Internet of Things (IoT) is an emerging paradigm that enables many beneficial and prospective application areas, such as smart metering, smart homes, smart industries, and smart city architectures, to name but a few. These application areas typically comprise end nodes and gateways that are often interconnected by low power wide area network (LPWAN) technologies, which provide low power consumption rates to elongate the battery lifetimes of end nodes, low IoT device development/purchasing costs, long transmission range, and increased scalability, albeit at low data rates. However, most LPWAN technologies are often confronted with a number of physical (PHY) layer challenges, including increased interference, spectral inefficiency, and/or low data rates for which cognitive radio (CR), being a predominantly PHY layer solution, suffices as a potential solution. Consequently, in this article, we survey the potentials of integrating CR in LPWAN for IoT-based applications. First, we present and discuss a detailed list of different state-of-the-art LPWAN technologies; we summarize the most recent LPWAN standardization bodies, alliances, and consortia while emphasizing their disposition towards the integration of CR in LPWAN. We then highlight the concept of CR in LPWAN via a PHY-layer front-end model and discuss the benefits of CR-LPWAN for IoT applications. A number of research challenges and future directions are also presented. This article aims to provide a unique and holistic overview of CR in LPWAN with the intention of emphasizing its potential benefits. MDPI 2020-11-30 /pmc/articles/PMC7730835/ /pubmed/33265899 http://dx.doi.org/10.3390/s20236837 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 Review
Onumanyi, Adeiza J.
Abu-Mahfouz, Adnan M.
Hancke, Gerhard P.
Low Power Wide Area Network, Cognitive Radio and the Internet of Things: Potentials for Integration
title Low Power Wide Area Network, Cognitive Radio and the Internet of Things: Potentials for Integration
title_full Low Power Wide Area Network, Cognitive Radio and the Internet of Things: Potentials for Integration
title_fullStr Low Power Wide Area Network, Cognitive Radio and the Internet of Things: Potentials for Integration
title_full_unstemmed Low Power Wide Area Network, Cognitive Radio and the Internet of Things: Potentials for Integration
title_short Low Power Wide Area Network, Cognitive Radio and the Internet of Things: Potentials for Integration
title_sort low power wide area network, cognitive radio and the internet of things: potentials for integration
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7730835/
https://www.ncbi.nlm.nih.gov/pubmed/33265899
http://dx.doi.org/10.3390/s20236837
work_keys_str_mv AT onumanyiadeizaj lowpowerwideareanetworkcognitiveradioandtheinternetofthingspotentialsforintegration
AT abumahfouzadnanm lowpowerwideareanetworkcognitiveradioandtheinternetofthingspotentialsforintegration
AT hanckegerhardp lowpowerwideareanetworkcognitiveradioandtheinternetofthingspotentialsforintegration