Journal article
A. Onumanyi, A. Abu-Mahfouz, G. Hancke
2019 IEEE 17th International Conference on Industrial Informatics (INDIN), 2019
2019 IEEE 17th International Conference on Industrial Informatics (INDIN), 2019
Semantic Scholar
DBLP
DOI
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APA
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Onumanyi, A., Abu-Mahfouz, A., & Hancke, G. (2019). Towards Cognitive Radio in Low Power Wide Area Network for Industrial IoT Applications. 2019 IEEE 17th International Conference on Industrial Informatics (INDIN).
Chicago/Turabian
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Onumanyi, A., A. Abu-Mahfouz, and G. Hancke. “Towards Cognitive Radio in Low Power Wide Area Network for Industrial IoT Applications.” 2019 IEEE 17th International Conference on Industrial Informatics (INDIN) (2019).
MLA
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Onumanyi, A., et al. “Towards Cognitive Radio in Low Power Wide Area Network for Industrial IoT Applications.” 2019 IEEE 17th International Conference on Industrial Informatics (INDIN), 2019.
BibTeX Click to copy
@article{a2019a,
title = {Towards Cognitive Radio in Low Power Wide Area Network for Industrial IoT Applications},
year = {2019},
journal = {2019 IEEE 17th International Conference on Industrial Informatics (INDIN)},
author = {Onumanyi, A. and Abu-Mahfouz, A. and Hancke, G.}
}
Abstract
In this paper, we have discussed the integration of Cognitive Radio (CR) in Low Power Wide Area Network (LPWAN) based on a generic network architecture and a PHY layer front-end model. Essentially, since most existing LPWAN technologies are proprietary in nature, it is necessary to present insights that may spur newer developments to enhance many Internet of Things (IoT)-based applications, including Industrial IoT (IIoT) applications such as smart factories, smart metering, and smart city architectures. Generally, this paper will benefit researchers who may be seeking to develop CR-LPWAN systems towards enhancing IoT-based applications.
