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Towards Cognitive Radio in Low Power Wide Area Network for Industrial IoT Applications

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dc.contributor.author Onumanyi, Adeiza J
dc.contributor.author Abu-Mahfouz, Adnan MI
dc.contributor.author Hancke, GP
dc.date.accessioned 2020-07-27T06:50:38Z
dc.date.available 2020-07-27T06:50:38Z
dc.date.issued 2019-07
dc.identifier.citation Onumanyi, A., Abu-Mahfouz, A.M. & Hancke, G. 2019. Towards Cognitive Radio in Low Power Wide Area Network for Industrial IoT Applications. IEEE. http://hdl.handle.net/10204/11513 . en_ZA
dc.identifier.isbn 978-1-7281-2927-3
dc.identifier.isbn 978-1-7281-2928-0
dc.identifier.uri DOI: 10.1109/INDIN41052.2019.8972333
dc.identifier.uri https://ieeexplore.ieee.org/document/8972333
dc.identifier.uri http://hdl.handle.net/10204/11513
dc.description Presented in: The IEEE International Conference on Industrial Informatics, Finland, Helsinki-Espoo, 22-25 July 2019 en_US
dc.description.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. en_US
dc.language.iso en en_US
dc.publisher IEEE en_US
dc.relation.ispartofseries Workflow;23142
dc.subject Cognitive Radio en_US
dc.subject Internet of Things en_US
dc.subject IoT en_US
dc.subject LPWAN en_US
dc.subject Low Power Wide Area Network en_US
dc.title Towards Cognitive Radio in Low Power Wide Area Network for Industrial IoT Applications en_US
dc.type Conference Presentation en_US
dc.identifier.apacitation Onumanyi, A., Abu-Mahfouz, A. M., & Hancke, G. (2019). Towards Cognitive Radio in Low Power Wide Area Network for Industrial IoT Applications. IEEE. http://hdl.handle.net/10204/11513 en_ZA
dc.identifier.chicagocitation Onumanyi, AJ, Adnan MI Abu-Mahfouz, and GP Hancke. "Towards Cognitive Radio in Low Power Wide Area Network for Industrial IoT Applications." (2019): http://hdl.handle.net/10204/11513 en_ZA
dc.identifier.vancouvercitation Onumanyi A, Abu-Mahfouz AM, Hancke G, Towards Cognitive Radio in Low Power Wide Area Network for Industrial IoT Applications; IEEE; 2019. http://hdl.handle.net/10204/11513 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Onumanyi, AJ AU - Abu-Mahfouz, Adnan MI AU - Hancke, GP AB - 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. DA - 2019-07 DB - ResearchSpace DP - CSIR KW - Cognitive Radio KW - Internet of Things KW - IoT KW - LPWAN KW - Low Power Wide Area Network LK - https://researchspace.csir.co.za PY - 2019 SM - 978-1-7281-2927-3 SM - 978-1-7281-2928-0 T1 - Towards Cognitive Radio in Low Power Wide Area Network for Industrial IoT Applications TI - Towards Cognitive Radio in Low Power Wide Area Network for Industrial IoT Applications UR - http://hdl.handle.net/10204/11513 ER - en_ZA


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