Ogbodo, EUDorrell, DAbu-Mahfouz, Adnan MI2018-05-212018-05-212017-09Ogbodo, 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: 19084-190982169-3536http://ieeexplore.ieee.org/document/8026117/DOI: 10.1109/ACCESS.2017.2749415http://hdl.handle.net/10204/10224Copyright: 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.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.enCognitive radio-based sensor networkCRSNDistributed automationLPWANProtocolsSmart gridQuality of serviceQoSArticleOgbodo, 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/10204/10224Ogbodo, 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/10204/10224Ogbodo 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.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 -