The DOI matches its Crossref record; 131 of the 131 references it cites were found in a registry or an index.
Cognitive Radio for Smart Grids: Survey of Architectures, Spectrum Sensing Mechanisms, and Networking Protocols
Abstract
Traditional power grids are currently being transformed into smart grids (SGs). SGs feature multi-way communication among energy generation, transmission, distribution, and usage facilities. The reliable, efficient, and intelligent management of complex power systems requires integration of high-speed, reliable, and secure data information and communication technology into the SGs to monitor and regulate power generation and usage. Despite several challenges, such as trade-offs between wireless coverage and capacity as well as limited spectral resources in SGs, wireless communication is a promising SG communications technology. Cognitive radio networks (CRNs) in particular are highly promising for providing timely SG wireless communications by utilizing all available spectrum resources. We provide in this paper a comprehensive survey on the CRN communication paradigm in SGs, including the system architecture, communication network compositions, applications, and CR-based communication technologies. We highlight potential applications of CR-based SG systems. We survey CR-based spectrum sensing approaches with their major classifications. We also provide a survey on CR-based routing and MAC protocols, and describe interference mitigation schemes. We furthermore present open issues and research challenges faced by CR-based SG networks along with future directions.
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Self-citationFuture generation 5G wireless networks for smart grid: a comprehensive review
S, S. R., Dragičević, T., Siano, P., & Prabaharan, S. R. S. (2019) · Energies · doi:10.3390/en12112140 · Cited by 162
Software Defined Radio and Wireless Acoustic Networking for Amateur Drone Surveillance
Yue, X., Liu, Y., Wang, J., Song, H., & Cao, H. (2018) · IEEE Communications Magazine · doi:10.1109/mcom.2018.1700423 · Cited by 111
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Metadata
- Authors
- Khan, A. A., Rehmani, M. H., & Reisslein, M.
- Venue
- IEEE Communications Surveys & Tutorials
- Published
- 2016
- Volume
- 18
- Issue
- 1
- Pages
- 860-898
- ISSN
- 1553-877X (ISSN-L)
- OpenAlex
- W2288090062
- Cited by
- 355
- References
- 131
- FWCI
- 69.84
- Type
- journal article
- Language
- en
- Open access
- closed
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- Khan, A. A., Rehmani, M. H., & Reisslein, M. (2016). Cognitive Radio for Smart Grids: Survey of Architectures, Spectrum Sensing Mechanisms, and Networking Protocols. IEEE Communications Surveys & Tutorials. https://doi.org/10.1109/comst.2015.2481722
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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