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Cognitive radio based sensor network in smart grid: Architectures, applications and communication technologies

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dc.contributor.author Ogbodo, EU
dc.contributor.author Dorrell, D
dc.contributor.author Abu-Mahfouz, Adnan MI
dc.date.accessioned 2018-05-21T12:43:59Z
dc.date.available 2018-05-21T12:43:59Z
dc.date.issued 2017-09
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
dc.identifier.uri http://ieeexplore.ieee.org/document/8026117/
dc.identifier.uri DOI: 10.1109/ACCESS.2017.2749415
dc.identifier.uri http://hdl.handle.net/10204/10224
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 - en_ZA


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