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