Low power wide area network, cognitive radio and the internet of things : potentials for integration

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dc.contributor.author Onumanyi, A.J. (Adeiza)
dc.contributor.author Abu-Mahfouz, Adnan Mohammed
dc.contributor.author Hancke, Gerhard P.
dc.date.accessioned 2021-08-10T09:11:12Z
dc.date.available 2021-08-10T09:11:12Z
dc.date.issued 2020-11-30
dc.description.abstract 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. en_ZA
dc.description.department Electrical, Electronic and Computer Engineering en_ZA
dc.description.librarian am2021 en_ZA
dc.description.sponsorship This work was supported by the Council for Scientific and Industrial Research, Pretoria, South Africa, through the Smart Networks collaboration initiative and Internet of Things (IoT)-Factory Program (funded by the Department of Science and Innovation (DSI), South Africa). en_ZA
dc.description.uri http://www.mdpi.com/journal/sensors en_ZA
dc.identifier.citation Onumanyi, A.J., Abu-Mahfouz, A.M. & Hancke, G.P. 2020, 'Low power wide area network, cognitive radio and the internet of things : potentials for integration', Sensors, vol. 20, art. 6837, pp. 1-41. en_ZA
dc.identifier.issn 1424-8220 (online)
dc.identifier.other 10.3390/s20236837
dc.identifier.uri http://hdl.handle.net/2263/81198
dc.language.iso en en_ZA
dc.publisher MDPI Publishing en_ZA
dc.rights © 2020 by the authors. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license. en_ZA
dc.subject Challenges en_ZA
dc.subject Future direction en_ZA
dc.subject Survey en_ZA
dc.subject Internet of Things (IoT) en_ZA
dc.subject Low power wide area network (LPWAN) en_ZA
dc.subject Cognitive radio (CR) en_ZA
dc.title Low power wide area network, cognitive radio and the internet of things : potentials for integration en_ZA
dc.type Article en_ZA


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