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 |