Integration of Cognitive Radio with Heterogeneous Smart Grid Communication Architecture

  • Lipi Chhaya
  • Paawan Sharma
  • Adesh Kumar
  • Govind Bhagwatikar
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 624)


The existing power grid is going through a massive transformation with an integration of electrical and communication architectures. Smart grid is a radical approach to overcome the limitations of existing electricity grid. Smart grid is characterized by full duplex communication, distribution automation, renewable energy integration, advanced metering infrastructure, active participation of consumers, fault diagnosis and isolation with self-healing capability, and complete monitoring and control of entire power grid. Integration of information and communication technologies for realization of intelligent grid requires huge amount of spectrum space. Bandwidth is a restricted resource. Cognitive radio technology can facilitate an effective use of available spectrum. This paper is expected to serve as a comprehensive review of application of cognitive radio technology for smart grid communication infrastructure and various spectrum sensing techniques for energy efficiency.


Cognitive radio Communication Energy efficiency Gateway Smart grid Spectrum sensing 


  1. 1.
    V. C. Gungor, B. Lu, G. P. Hancke: Opportunities and challenges of wireless sensor networks in smart grid. IEEE Transactions on Industrial Electronics. 57, 10, 3557–3564 (2010).Google Scholar
  2. 2.
    N. Binti Mat Isa, Tan Chee Wei, A. H. M. Yatim.: Smart grid technology: Communications, power electronics and control system. International Conference on Sustainable Energy Engineering and Application (ICSEEA), Bandung, 10–14.Google Scholar
  3. 3.
    R. Yu, Y. Zhang, S. Gjessing, C. Yuen, S. Xie, M. Guizani: Cognitive radio based hierarchical communications infrastructure for smart grid. IEEE Network, 25, 5, 6–14 (2011).Google Scholar
  4. 4.
    H. Farooq, Low Tang Jung.: Choices available for implementing smart grid communication network. Computer and Information Sciences (ICCOINS), 2014 International Conference on, Kuala Lumpur, 1–5 (2014).Google Scholar
  5. 5.
    Anzar Mahmood, Nadeem Javaid, Sohail Razzaq (2015) A Review of Wireless Communications for Smart Grid, Renewable and sustainable reviews 41, pp-248–260,Google Scholar
  6. 6.
    S. Haykin.: Cognitive Radio: Brain-Empowered Wireless Communications. IEEE JSAC, 23, 2, 201–20 (2005).Google Scholar
  7. 7.
    V. Kouhdaragh, D. Tarchi, A. V. Coralli, and G. E. Corazza.: Cognitive radio based smart grid networks. Proc. TIWDC—Green ICT, Sep. 23–25, 1–6 (2013).Google Scholar
  8. 8.
    W. Meng, R. Ma, H.-H. Chen: Smart grid neighborhood area networks: A survey, IEEE Networks., 28, 1, 24–32 (2014).Google Scholar
  9. 9.
    Vineeta, J. K. Thathagar.: Cognitive radio communication architecture in smart grid reconfigurability. Proc. Int. Conf. ET2ECN, 1–6 (2012).Google Scholar
  10. 10.
    F. Liu, J. Wang, Y. Han, P. Han.: Cognitive radio networks for smart grid communications. Proc. ASCC, 1–5 (2013).Google Scholar
  11. 11.
    D. P. Shea, J. E. Mitchell.: Architecture to integrate multiple PONs with long reach DWDM backhaul. IEEE Journal of selected areas of Communication, 27, 2, 126–133 (2009).Google Scholar
  12. 12.
    A. Boustani, M. Jadliwala, H. M. Kwon and N. Alamatsaz.: Optimal resource allocation in Cognitive Smart Grid Networks. 12th Annual IEEE Consumer Communications and Networking Conference (CCNC), NV, 499–506 (2015).Google Scholar
  13. 13.
    A. Khan, M. H. Rehmani and M. Reisslein.: Cognitive Radio for Smart Grids: Survey of Architectures, Spectrum Sensing Mechanisms, and Networking Protocols. IEEE Communications Surveys & Tutorials, 18, 1, 860–898 (2016).Google Scholar
  14. 14.
    A. Ghassemi, S. Bavarian, L. Lampe.: Cognitive Radio for Smart Grid Communications. First IEEE International Conference on, Smart Grid Communications (SmartGridComm), Gaithersburg, MD, 297–302 (2010).Google Scholar
  15. 15.
    J. Wang, M. Ghosh and K. Challapali.: Emerging cognitive radio applications: A survey. IEEE Communications Magazine, 49, 3, 74–81 (2011).Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  • Lipi Chhaya
    • 1
  • Paawan Sharma
    • 1
  • Adesh Kumar
    • 1
  • Govind Bhagwatikar
    • 2
  1. 1.Department of Electronics, Instrumentation and Control EngineeringUniversity of Petroleum and Energy Studies (UPES)DehradunIndia
  2. 2.SANY GroupPuneIndia

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