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
来源
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS | 2016年 / 18卷 / 01期
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
相关论文
共 243 条
  • [41] Green Cognitive Mobile Networks With Small Cells for Multimedia Communications in the Smart Grid Environment
    Bu, Shengrong
    Yu, F. Richard
    [J]. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2014, 63 (05) : 2115 - 2126
  • [42] Bu SR, 2013, IEEE INFOCOM SER, P980
  • [43] Bu SR, 2012, IEEE GLOB COMM CONF, P3032, DOI 10.1109/GLOCOM.2012.6503579
  • [44] Network Theory and Smart Grid Distribution Automation
    Bush, Stephen F.
    [J]. IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2014, 32 (07) : 1451 - 1459
  • [45] Cacciapuoti A., 2014, P EMTC, P1, DOI DOI 10.1109/EMTC.2014.6996657
  • [46] Cacciapuoti AS, 2015, IEEE INT CONF COMM, P568, DOI 10.1109/ICCW.2015.7247241
  • [47] Optimal Data Fusion of Collaborative Spectrum Sensing under Attack in Cognitive Radio Networks
    Cai, Yifeng
    Mo, Yijun
    Ota, Kaoru
    Luo, Changqing
    Dong, Mianxiong
    Yang, Laurence T.
    [J]. IEEE NETWORK, 2014, 28 (01): : 17 - 23
  • [48] Impacts of unreliable communication and modified regret matching based anti-jamming approach in smart microgrid
    Chai, Bo
    Yang, Zaiyue
    [J]. AD HOC NETWORKS, 2014, 22 : 69 - 82
  • [49] Chang KH, 2012, INT CONF SMART GRID, P476, DOI 10.1109/SmartGridComm.2012.6486030
  • [50] INTEROPERABLE NAN STANDARDS: A PATH TO COST-EFFECTIVE SMART GRID SOLUTIONS
    Chang, Kuor-Hsin
    [J]. IEEE WIRELESS COMMUNICATIONS, 2013, 20 (03) : 4 - 5