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Low power wide area network, cognitive radio and the Internet of Things: Potentials for integration

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dc.contributor.author Onumanyi, AJ
dc.contributor.author Abu-Mahfouz, Adnan MI
dc.contributor.author Hancke, GP
dc.date.accessioned 2021-01-17T16:10:18Z
dc.date.available 2021-01-17T16:10:18Z
dc.date.issued 2020-11
dc.identifier.citation Onumanyi, A.J., Abu-Mahfouz, A.M.I. and Hancke, G.P. 2020. Low power wide area network, cognitive radio and the Internet of Things: Potentials for integration. Sensors, v20(33), 41pp. en_US
dc.identifier.issn 1424-8220
dc.identifier.uri https://doi.org/10.3390/s20236837
dc.identifier.uri https://www.mdpi.com/1424-8220/20/23/6837
dc.identifier.uri http://hdl.handle.net/10204/11721
dc.description Copyright: 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/). en_US
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_US
dc.language.iso en en_US
dc.publisher MDPI en_US
dc.relation.ispartofseries Worklist;24049
dc.subject Cognitive radio en_US
dc.subject Future direction en_US
dc.subject Low Power Wide Area Network en_US
dc.subject LPWAN en_US
dc.subject Internet of Things en_US
dc.subject IoT en_US
dc.title Low power wide area network, cognitive radio and the Internet of Things: Potentials for integration en_US
dc.type Article en_US
dc.identifier.apacitation Onumanyi, A., Abu-Mahfouz, A. M., & Hancke, G. (2020). Low power wide area network, cognitive radio and the Internet of Things: Potentials for integration. http://hdl.handle.net/10204/11721 en_ZA
dc.identifier.chicagocitation Onumanyi, AJ, Adnan MI Abu-Mahfouz, and GP Hancke "Low power wide area network, cognitive radio and the Internet of Things: Potentials for integration." (2020) http://hdl.handle.net/10204/11721 en_ZA
dc.identifier.vancouvercitation Onumanyi A, Abu-Mahfouz AM, Hancke G. Low power wide area network, cognitive radio and the Internet of Things: Potentials for integration. 2020; http://hdl.handle.net/10204/11721. en_ZA
dc.identifier.ris TY - Article AU - Onumanyi, AJ AU - Abu-Mahfouz, Adnan MI AU - Hancke, GP AB - 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. DA - 2020-11 DB - ResearchSpace DP - CSIR KW - Cognitive radio KW - Future direction KW - Low Power Wide Area Network KW - LPWAN KW - Internet of Things KW - IoT LK - https://researchspace.csir.co.za PY - 2020 SM - 1424-8220 T1 - Low power wide area network, cognitive radio and the Internet of Things: Potentials for integration TI - Low power wide area network, cognitive radio and the Internet of Things: Potentials for integration UR - http://hdl.handle.net/10204/11721 ER - en_ZA


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