dc.contributor.author |
Ogbodo, EU
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|
dc.contributor.author |
Dorrell, D
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|
dc.contributor.author |
Abu-Mahfouz, Adnan MI
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|
dc.date.accessioned |
2018-05-21T12:43:59Z |
|
dc.date.available |
2018-05-21T12:43:59Z |
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dc.date.issued |
2017-09 |
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dc.identifier.citation |
Ogbodo, E.U., Dorrell, D. and Abu-Mahfouz, A.M.I. 2017. Cognitive radio based sensor network in smart grid: Architectures, applications and communication technologies. IEEE Access, vol. 5: 19084-19098 |
en_US |
dc.identifier.issn |
2169-3536 |
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dc.identifier.uri |
http://ieeexplore.ieee.org/document/8026117/
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dc.identifier.uri |
DOI: 10.1109/ACCESS.2017.2749415
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dc.identifier.uri |
http://hdl.handle.net/10204/10224
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dc.description |
Copyright: 2017 IEEE. Due to copyright restrictions, the attached PDF file only contains the abstract of the full text item. A free copy of the full text item (open access article) can be downloaded from the publisher's website. |
en_US |
dc.description.abstract |
The cognitive radio-based sensor network (CRSN) is envisioned as a strong driver in the development of modern power system smart grids (SGs). This can address the spectrum limitation in the sensor nodes due to interference cause by other wireless devices operating on the same unlicensed frequency in the Industrial, Scientific and Medical band. These sensor nodes are used for monitoring and control purposes in various components of a SG, ranging from generation, transmission, and distribution, and down to the consumer, including monitoring of utility network assets. A reliable SG communication network architecture is required for transferring information which needed by the SG applications, alongside the monitoring and control by CRSN. Hence, this paper investigates and explores the CRSN conceptual framework, and SG communication architecture with its applications; vis-à-vis the communication access technologies, including implementation design with quality of service support. Consequently, this paper highlights various research gaps, such as implementation design model, utilization of LPWAN for CRSN based SG deployment, and so on. This includes discussion on the future direction for various aspects of the CRSN in SG. To address these research gaps, we introduced a smart unified communication solution to improve the efficiency of the SG and mitigate various associated challenges. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
IEEE |
en_US |
dc.relation.ispartofseries |
Worklist;20529 |
|
dc.subject |
Cognitive radio-based sensor network |
en_US |
dc.subject |
CRSN |
en_US |
dc.subject |
Distributed automation |
en_US |
dc.subject |
LPWAN |
en_US |
dc.subject |
Protocols |
en_US |
dc.subject |
Smart grid |
en_US |
dc.subject |
Quality of service |
en_US |
dc.subject |
QoS |
en_US |
dc.title |
Cognitive radio based sensor network in smart grid: Architectures, applications and communication technologies |
en_US |
dc.type |
Article |
en_US |
dc.identifier.apacitation |
Ogbodo, E., Dorrell, D., & Abu-Mahfouz, A. M. (2017). Cognitive radio based sensor network in smart grid: Architectures, applications and communication technologies. http://hdl.handle.net/10204/10224 |
en_ZA |
dc.identifier.chicagocitation |
Ogbodo, EU, D Dorrell, and Adnan MI Abu-Mahfouz "Cognitive radio based sensor network in smart grid: Architectures, applications and communication technologies." (2017) http://hdl.handle.net/10204/10224 |
en_ZA |
dc.identifier.vancouvercitation |
Ogbodo E, Dorrell D, Abu-Mahfouz AM. Cognitive radio based sensor network in smart grid: Architectures, applications and communication technologies. 2017; http://hdl.handle.net/10204/10224. |
en_ZA |
dc.identifier.ris |
TY - Article
AU - Ogbodo, EU
AU - Dorrell, D
AU - Abu-Mahfouz, Adnan MI
AB - The cognitive radio-based sensor network (CRSN) is envisioned as a strong driver in the development of modern power system smart grids (SGs). This can address the spectrum limitation in the sensor nodes due to interference cause by other wireless devices operating on the same unlicensed frequency in the Industrial, Scientific and Medical band. These sensor nodes are used for monitoring and control purposes in various components of a SG, ranging from generation, transmission, and distribution, and down to the consumer, including monitoring of utility network assets. A reliable SG communication network architecture is required for transferring information which needed by the SG applications, alongside the monitoring and control by CRSN. Hence, this paper investigates and explores the CRSN conceptual framework, and SG communication architecture with its applications; vis-à-vis the communication access technologies, including implementation design with quality of service support. Consequently, this paper highlights various research gaps, such as implementation design model, utilization of LPWAN for CRSN based SG deployment, and so on. This includes discussion on the future direction for various aspects of the CRSN in SG. To address these research gaps, we introduced a smart unified communication solution to improve the efficiency of the SG and mitigate various associated challenges.
DA - 2017-09
DB - ResearchSpace
DP - CSIR
KW - Cognitive radio-based sensor network
KW - CRSN
KW - Distributed automation
KW - LPWAN
KW - Protocols
KW - Smart grid
KW - Quality of service
KW - QoS
LK - https://researchspace.csir.co.za
PY - 2017
SM - 2169-3536
T1 - Cognitive radio based sensor network in smart grid: Architectures, applications and communication technologies
TI - Cognitive radio based sensor network in smart grid: Architectures, applications and communication technologies
UR - http://hdl.handle.net/10204/10224
ER -
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en_ZA |