Cognitive radio in low power wide area network for IoT applications : recent approaches, benefits and challenges

Show simple item record Onumanyi, A.J. (Adeiza) Abu-Mahfouz, Adnan Mohammed Hancke, Gerhard P. 2021-06-14T11:16:40Z 2021-06-14T11:16:40Z 2020-12
dc.description.abstract Some recent survey statistics suggest that low power wide area networks (LPWANs) are fast becoming the most prevalent communication platform used in many applications of the Internet of Things (IoT). However, because most LPWANs are generally deployed in the presently congested industrial, scientific, and medical bands, they are invariably plagued by problems associated with spectral congestion, such as increased interference, reduced data rates, and spectra inefficiency. These problems are solvable by integrating cognitive radio (CR) technologies in LPWAN (termed CR-LPWAN), for which some pioneering solutions now exist in the literature. Consequently, this article takes an early look at some of these pioneering efforts pertaining to the development of CR-LPWAN systems. We discuss a general network architecture and a physical layer front-end model suitable for CR-LPWAN systems. Then, some notable state-of-the-art approaches for CR-LPWAN systems are discussed. Potential advantages of CR-LPWAN systems for IoT-based applications are also presented, and this article closes with a few research challenges and future research directions in this regard. This article aims to serve as a starting point for most budding researchers who may be interested in the development of effective and efficient CR-LPWAN systems for the enhancement of different IoT-based applications. en_ZA
dc.description.department Electrical, Electronic and Computer Engineering en_ZA
dc.description.librarian hj2021 en_ZA
dc.description.uri en_ZA
dc.identifier.citation A. J. Onumanyi, A. M. Abu-Mahfouz and G. P. Hancke, "Cognitive Radio in Low Power Wide Area Network for IoT Applications: Recent Approaches, Benefits and Challenges," in IEEE Transactions on Industrial Informatics, vol. 16, no. 12, pp. 7489-7498, Dec. 2020, doi: 10.1109/TII.2019.2956507. en_ZA
dc.identifier.issn 1551-3203
dc.identifier.other 10.1109/TII.2019.2956507
dc.language.iso en en_ZA
dc.publisher Institute of Electrical and Electronics Engineers en_ZA
dc.rights © 2020 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission. en_ZA
dc.subject Low power wide area network (LPWAN) en_ZA
dc.subject Cognitive radio (CR) en_ZA
dc.subject Industrial internet of things (IIoT) en_ZA
dc.subject Surveys en_ZA
dc.subject Internet of things (IoT) en_ZA
dc.subject Standards en_ZA
dc.subject White spaces en_ZA
dc.subject Wireless sensor network (WSN) en_ZA
dc.subject Informatics en_ZA
dc.subject Wide area network (WAN) en_ZA
dc.title Cognitive radio in low power wide area network for IoT applications : recent approaches, benefits and challenges en_ZA
dc.type Postprint Article en_ZA

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