Cognitive Radio Based Sensor Network in Smart Grid: Architectures, Applications and Communication Technologies

Ogbodo, EU; Dorrell, D; Abu-Mahfouz, AM

Cognitive Radio Based Sensor Network in Smart Grid: Architectures, Applications and Communication Technologies

Ogbodo, EU Dorrell, D

Abu-Mahfouz, AM

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Publication Type:: Journal Article
Citation:: IEEE Access, 2017, 5 pp. 19084 - 19098
Issue Date:: 2017-09-05

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Field	Value	Language
dc.contributor.author	Ogbodo, EU	en_US
dc.contributor.author	Dorrell, D https://orcid.org/0000-0001-8060-3386	en_US
dc.contributor.author	Abu-Mahfouz, AM	en_US
dc.date.issued	2017-09-05	en_US
dc.identifier.citation	IEEE Access, 2017, 5 pp. 19084 - 19098	en_US
dc.identifier.uri	http://hdl.handle.net/10453/126663
dc.description.abstract	© 2013 IEEE. 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.relation.ispartof	IEEE Access	en_US
dc.relation.isbasedon	10.1109/ACCESS.2017.2749415	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Cognitive Radio Based Sensor Network in Smart Grid: Architectures, Applications and Communication Technologies	en_US
dc.type	Journal Article
utslib.citation.volume	5	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
utslib.for	08 Information and Computing Sciences	en_US
utslib.for	09 Engineering	en_US
utslib.for	10 Technology	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	closed_access	*
pubs.publication-status	Published	en_US
pubs.volume	5	en_US

Abstract:

© 2013 IEEE. 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.

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http://hdl.handle.net/10453/126663