Cognitive Radio for Smart Grids: Survey of Architectures, Spectrum Sensing Mechanisms, and Networking Protocols

被引:236
作者
Khan, Athar Ali [1 ]
Rehmani, Mubashir Husain [1 ]
Reisslein, Martin [2 ]
机构
[1] COMSATS Inst Informat Technol, Islamabad 45550, Pakistan
[2] Arizona State Univ, Sch Elect Comp & Energy Engn, Tempe, AZ 85287 USA
关键词
Advanced metering infrastructure (AMI); communication architecture; cognitive radio network (CRN); smart grid (SG); TO-MACHINE COMMUNICATIONS; WIRELESS SENSOR NETWORKS; USER EMULATION ATTACKS; RESOURCE-ALLOCATION; COMMUNICATION TECHNOLOGIES; INTERFERENCE MANAGEMENT; ENERGY EFFICIENCY; CELLULAR NETWORKS; DEMAND RESPONSE; CYBER SECURITY;
D O I
10.1109/COMST.2015.2481722
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:860 / 898
页数:39
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