skip to main content

Integration of 5G Technologies in Smart Grid Communication-A Short Survey

1Department of Electronics and Communication Engineering, Karunya Institute of Technology and Sciences, Coimbatore, India

2Department of Electrical and Electronics Engineering, Karunya Institute of Technology and Sciences, Coimbatore,, India

Received: 12 Mar 2019; Revised: 19 Sep 2019; Accepted: 5 Oct 2019; Available online: 30 Oct 2019; Published: 27 Oct 2019.
Editor(s): Mohammad Hossein Ahmadi, H Hadiyanto

Citation Format:
Cover Image
Smart grid is an intelligent power distribution system that employs dual communication between the energy devices and the substation. Dual communication helps to overseer the internet access points, energy meters, and power demand of the entire grid. Deployment of advanced communication and control technologies makes smart grid system efficient for energy availability and low-cost maintenance. Appropriate algorithms are analyzed first for the convenient grid to have proper routing and security with a high-level of power transmission and distribution. Information and Communication Technology plays a significant role in monitoring, demand response, and control of the energy distribution. This paper presents a broad review of communication and network technologies with regard to Internet of Things, Machine to Machine Communication, and Cognitive radio terminologies which comprises 5G technology. Networks suitable for future smart-grid are compared with respect to standard protocols, data rate, throughput, delay, security, and routing. Approaches adopted for the smart-grid system has been commended based on the performance and the parameters observed. ©2019. CBIORE-IJRED. All rights reserved
Fulltext View|Download
Keywords: Smart Grid; Information and Communication Technology; Home Area Network; Software Defined Network; Cognitive Radio; Internet of Things; Device-to-Device Communication

Article Metrics:

  1. Aijaz, A., & Aghvami, A. H. (2015). PRMA based Cognitive Machine-to-Machine Communications in Smart Grid Networks. IEEE Transactions on Vehicular Technology, 64(8), 3608–3623.
  2. Al-Ali, A. R., & Aburukba, R. (2015). Role of Internet of Things in the Smart Grid Technology. Journal of Computer and Communications, 03(05), 229–233.
  3. Al-rubaye, S., Kadhum, E., Ni, Q., & Anpalagan, A. (2017). Industrial Internet of Things Driven by SDN Platform for Smart Grid Resiliency. IEEE Internet of Things Journal, 1–11.
  4. Alam, S., Sohail, M. F., Ghauri, S. A., Qureshi, I. M., & Aqdas, N. (2017). Cognitive radio based Smart Grid Communication Network. Renewable and Sustainable Energy Reviews, 72(October 2015), 535–548.
  5. Attia, M., Senouci, S. M., Sedjelmaci, H., Aglzim, E. H., & Chrenko, D. (2018). An efficient Intrusion Detection System against cyber-physical attacks in the smart grid. Computers and Electrical Engineering, 68(May), 499–512.
  6. Bag, G., Johansson, M., Lednicki, L., Neander, J., Eriksson, L., Bogati, R., … Torsner, J. (2018). Performance Evaluation of IEC 61850-90-5 over a latency optimized 3GPP LTE Network. 2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm), 1–7
  7. Bekara, C. (2014). Security issues and challenges for the IoT-based smart grid. Procedia Computer Science, 34, 532–537.
  8. Carr, J., Brissette, A., Ragaini, E., & Omati, L. (2017). Managing Smart Grids Using Price Responsive Smart Buildings. Energy Procedia, 134, 21–28.
  9. Dong, X., Lin, H., Tan, R., Iyer, R. K., & Kalbarczyk, Z. (2015). Software-Defined Networking for Smart Grid Resilience. Proceedings of the 1st ACM Workshop on Cyber-Physical System Security - CPSS ’15, 61–68.
  10. Dorsch, N., Kurtz, F., Girke, F., & Wietfeld, C. (2016). Enhanced Fast Failover for Software-Defined Smart Grid Communication Networks. In 2016 IEEE Global Communications Conference (GLOBECOM) (pp. 1–6). IEEE.
  11. Emmanuel, M., & Rayudu, R. (2016). Communication technologies for smart grid applications: A survey. Journal of Network and Computer Applications, 74, 133–148.
  12. Erdem, H. E., & Gungor, V. C. (2018). On the lifetime analysis of energy harvesting sensor nodes in smart grid environments. Ad Hoc Networks, 75–76, 98–105.
  13. Erol-Kantarci, M., & Mouftah, H. T. (2015). Energy-Efficient Information and Communication Infrastructures in the Smart Grid: A Survey on Interactions and Open Issues. IEEE Communications Surveys and Tutorials, 17(1), 179–197.
  14. Faheem, M., Shah, S. B. H., Butt, R. A., Raza, B., Anwar, M., Ashraf, M. W., … Gungor, V. C. (2018). Smart grid communication and information technologies in the perspective of Industry 4.0: Opportunities and challenges. Computer Science Review, 30, 1–30.
  15. Feng, F., Peng, F., Yan, B., Lin, S., & Zhang, J. (2017). QoS-Based LTE Downlink Scheduling Algorithm for Smart Grid Communication. In IEEE 9th international conference on communication software and networks (pp. 548–552)
  16. Fonseca, P. C. da R., & Mota, E. S. (2017). A Survey on Fault Management in Software-Defined Networks. IEEE Communications Surveys & Tutorials, 19(4), 2284–2321
  17. Gozalvez, J. (2016). New 3GPP Standard for IoT [Mobile Radio]. IEEE Vehicular Technology Magazine, 11(1), 14–20.
  18. Hassebo, A., Obaidat, M., & Ali, M. A. (2018). Commercial 4G LTE Cellular Networks for Supporting Emerging IoT Applications. 2018 Advances in Science and Engineering Technology International Conferences (ASET), 1–6
  19. Ibdah, D., Kanani, M., Lachtar, N., Allan, N., & Al-Duwairi, B. (2018). On the security of SDN-enabled smartgrid systems. 2017 International Conference on Electrical and Computing Technologies and Applications, ICECTA 2017, 2018–Janua, 1–5.
  20. Jiang, T., Wang, H., Daneshmand, M., & Wu, D. (2017). Cognitive Radio-Based Smart Grid Traffic Scheduling with Binary Exponential Backoff. IEEE Internet of Things Journal, 4(6), 2038–2046.
  21. Jumar, R., Maaß, H., & Hagenmeyer, V. (2018). Comparison of lossless compression schemes for high rate electrical grid time series for smart grid monitoring and analysis ☆. Computers and Electrical Engineering, 71(July), 465–476.
  22. Kalyani, V. L., & Sharma, D. (2015). IoT: Machine to Machine (M2M), Device to Device (D2D) Internet of Everything (IoE) and Human to Human (H2H): Future of Communication. Journal of Management Engineering and Information Technology, (26), 2394–8124
  23. Le, T. N., Chin, W. L., & Chen, H. H. (2017). Standardization and Security for Smart Grid Communications Based on Cognitive Radio Technologies - A Comprehensive Survey. IEEE Communications Surveys and Tutorials, 19(1), 423–445.
  24. Lee, S., Lim, H., Go, W., Park, H., & Shon, T. (2015). Logical architecture of HAN-centric smartgrid model. Proceedings - 2015 International Conference on Platform Technology and Service, PlatCon 2015, 41–42.
  25. Li, Q., Jiang, H., Tang, Q., Chen, Y., Li, J., & Zhou, J. (2016). Smart Manufacturing Standardization: Reference Model and Standards Framework. OTM Confederated International Conferences" On the Move to Meaningful Internet Systems", 101(April 2017), 16–25
  26. Luo, X., Yao, Q., Wang, X., & Guan, X. (2018). Observer-based cyber attack detection and isolation in smart grids. International Journal of Electrical Power and Energy Systems, 101(January), 127–138.
  27. Mahmood, A., Javaid, N., & Razzaq, S. (2015). A review of wireless communications for smart grid. Renewable and Sustainable Energy Reviews, 41, 248–260.
  28. Marah, R., & El Hibaoui, A. (2018). Algorithms for Smart Grid management. Sustainable Cities and Society, 38(January), 627–635.
  29. Mourshed, M., Robert, S., Ranalli, A., Messervey, T., Reforgiato, D., Contreau, R., … Lennard, Z. (2015). Smart Grid Futures: Perspectives on the Integration of Energy and ICT Services. Energy Procedia, 75, 1132–1137.
  30. Nist, Publication, N. S., & National Institute of Standards and Technology. (2010). NIST Special Publication 1108 NIST Framework and Roadmap for Smart Grid Interoperability Standards. Nist Special Publication, 0, 1–90.
  31. Niyato, D., Xiao, L., & Wang, P. (2011). Machine-to-Machine Communications for Home Energy Management System in Smart Grid
  32. P.,M., F. (2012). Introduction to Smart Grid Security. Smart Grid Applications, Communications and Security, (March), 295–320.
  33. Palak P. Parikh, Mitalkumar. G. Kanabar, T. S. S. (2010). Opportunities and Challenges of Wireless Communication Technologies for Smart Grid Applications. In In Power and Energy Society General Meeting (pp. 1–7)
  34. Panwar, N., Sharma, S., & Singh, A. K. (2016). A survey on 5G: The next generation of mobile communication. Physical Communication, 18, 64–84.
  35. Ranganathan, R., Qiu, R., Hu, Z., Hou, S., Pazos-Revilla, M., Zheng, G., … Guo, N. (2011). Cognitive radio for smart grid: Theory, algorithms, and security. International Journal of Digital Multimedia Broadcasting, 2011.
  36. Rehmani, M. H., Akhtar, F., Davy, A., & Jennings, B. (2018). Achieving Resilience in SDN-Based Smart Grid : A Multi-Armed Bandit Approach. In 2018 4th IEEE Conference on Network Softwarization and Workshops (NetSoft) (pp. 366–371). IEEE.
  37. Rehmani, M. H., Davy, A., Jennings, B., & Assi, C. (2018a). Software Defined Networks based Smart Grid Communication: A Comprehensive Survey, 1–32. Retrieved from
  38. Rehmani, M. H., Davy, A., Jennings, B., & Assi, C. (2018b). Software Defined Networks based Smart Grid Communication: A Comprehensive Survey, 1–32. Retrieved from
  39. Shine Let G, Josemin Bala G, B. P. C. (2018). Cooperative Communication in 5G Cognitive Radio Systems. Lambert Academic Publishing
  40. Singh, S., Saxena, N., Roy, A., & Kim, H. S. (2017). A Survey on 5G Network Technologies from Social Perspective. IETE Technical Review (Institution of Electronics and Telecommunication Engineers, India), 34(1), 30–39.
  41. Tuna, G., Kogias, D. G., Gungor, V. C., Gezer, C., Taşkın, E., & Ayday, E. (2017). A survey on information security threats and solutions for Machine to Machine (M2M) communications. J. Parallel Distrib. Comput., 109, 142–154.
  43. Zhou, Z., Gong, J., He, Y., & Zhang, Y. (2017). Software Defined Machine-to-Machine Communication for Smart Energy Management. IEEE Communications Magazine, 55(October), 52–60.

Last update:

  1. IoT Technology Applications-Based Smart Cities: Research Analysis

    Mariana-Daniela González-Zamar, Emilio Abad-Segura, Esteban Vázquez-Cano, Eloy López-Meneses. Electronics, 9 (8), 2020. doi: 10.3390/electronics9081246
  2. On the Application of 5G to Energy Distribution Companies: a Brazilian Case Study

    Vanessa Vasconcellos, Beatriz Batista Cardoso, Kennedy Alves Martins, Amadeu F. de Macedo, Bruno Franco Cecchetti, Marcos A. Izumida Martins. 2021 IEEE Latin-American Conference on Communications (LATINCOM), 2021. doi: 10.1109/LATINCOM53176.2021.9647809
  3. 5G for Smart Grids: Review, Taxonomy, Bibliometrics, Applications and Future Trends

    R. Rituraj, Daniel Tamas Varkonyi, Amirhosein Mosavi, Annamaria Varkonyi Koczy. 2023 IEEE 27th International Conference on Intelligent Engineering Systems (INES), 2023. doi: 10.1109/INES59282.2023.10297699
  4. Visual and Artistic Effects of an IoT System in Smart Cities: Research Flow

    Mariana-Daniela González-Zamar, Emilio Abad-Segura. IoT, 1 (2), 2020. doi: 10.3390/iot1020011
  5. Harnessing artificial intelligence for data-driven energy predictive analytics: A systematic survey towards enhancing sustainability

    Thanh Tuan Le, Jayabal Chandra Priya, Huu Cuong Le, Nguyen Viet Linh Le, Minh Thai Duong, Dao Nam Cao. International Journal of Renewable Energy Development, 13 (2), 2024. doi: 10.61435/ijred.2024.60119

Last update: 2024-04-17 01:59:27

  1. IoT Technology Applications-Based Smart Cities: Research Analysis

    Mariana-Daniela González-Zamar, Emilio Abad-Segura, Esteban Vázquez-Cano, Eloy López-Meneses. Electronics, 9 (8), 2020. doi: 10.3390/electronics9081246