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A Review of Wireless and Satellite-Based M2M/IoT Services in Support of Smart Grids

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Abstract

The Smart Grid (SG) is an evolution of the electricity network that dynamically integrates the activities and energy control of power consumers, power generators, distribution systems, and devices connected to the grid (e.g., substations, transformers, and so on). The goal of the SG is to economically and efficiently deliver a sustainable, reliable, and secure electricity supply. Machine-to-Machine (M2M) technology is designed for automated data exchange between devices, and thus has applicability to SGs. With M2M technology, organizations track and manage assets; inventories; transportation fleets; oil and gas pipelines; mines; wide-spread infrastructure; natural phenomena such as weather conditions, crop production, forestry condition, and water flows; and, as noted, SGs. Wireless communication is a staple of M2M. These wireless technologies range from unlicensed local connectivity, to licensed 3G/4G/5G cellular, to Low Earth Orbit (LEO) satellites. All of these technologies are relevant to the SG. Utilities have started to gradually support M2M and Supervisory Control And Data Acquisition (SCADA) systems over satellite links. This article focuses on wireless and satellite-based M2M services, as applicable to the Smart Grid, including the use of Internet of Things (IoT), particularly for the transmission and distribution (T&D) space sector; some comparisons to wireline solutions are also discussed.

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Notes

  1. PLC is a wireline technology for data exchange over power lines by using advanced modulation methods.

  2. LTE-M is the industry term for the LTE-MTC (Machine-Type Communications) LPWA 3GPP Release 13 specification, specifically LTE CatM1, suitable for the IoT.

References

  1. Mouftah HT, Erol-Kantarci M (2016) Smart grid - networking, data management, and business models. CRC Press, New York

    Book  Google Scholar 

  2. Bush SF (2014) Smart grid: communication-enabled intelligence for the electric power grid. Wiley-IEEE Press 978-1-119-97580-9

  3. Minoli D (2013) Building the internet of things with IPv6 and MIPv6: the evolving world of M2M communications. Wiley

  4. Minoli D (2015) Innovations in satellite communications technology. Wiley

  5. Agrawal DP, Zeng Q (2016) Introduction to Wireless and Mobile Systems, 4ED. Cengage Learning, Boston

    Google Scholar 

  6. Bing Lin Y, Chlamtac I (2000) Wireless and mobile network architectures. Wiley, New York

    Google Scholar 

  7. S. Khan, A. K. Pathan, N. A. Alrajeh. Wireless Sensor Networks: Current Status and Future Trends. CRC press, 2016, N Y

  8. Helfert M, Krempels KH, Klein C et al (2015) Smart cities, green technologies, and intelligent transport systems: 4th International Conference, SmartGreens 2015, Lisbon, May 20–22

  9. Wietfeld C, Georg H, Gröning S et al (2011) Wireless M2M communication networks for smart grid applications. Wireless Conference 2011 - Sustainable Wireless Technologies (European Wireless), 11th European, p 1–7

  10. Fadlullah ZM, Fouda MM, Kato N et al (2011) Toward intelligent machine-to-machine communications in smart grid. IEEE Commun Mag 49(4):60–65

    Article  Google Scholar 

  11. Rehmani MH, Khan AA, Reisslein M (2016) Cognitive Radio for Smart Grids: survey of architectures, Spectrum sensing mechanisms, and networking protocols. IEEE Commun Surv Tutorials 18(1):860–898

    Article  Google Scholar 

  12. F. Boccardi, R. W. Heath Jr, A. Lozano, T. L Marzetta, P. Popovski. Five Disruptive Technology Directions for 5G. Communications magazine, IEEE, 2014, 52(2), pp. 74–80

  13. National Communications System, Supervisory Control and Data Acquisition (SCADA) Systems, Technical Information Bulletin 04-1, NCS TIB 04-1, October 2004, P.O. Box 4052, Arlington, VA 22204–4052. http://www.ncs.gov

  14. Cárdenas AA, Berthier R et al (2014) A framework for evaluating intrusion detection architectures in advanced metering infrastructures. IEEE Trans Smart Grid 5(2):906–915

    Article  Google Scholar 

  15. Lakhtaria KI (2015) Next gen wireless network security and privacy. Information Science Reference, IGI Global Imprint

    Book  Google Scholar 

  16. Singh M, Sanduja EV (2015) Minimizing electricity theft by internet of things. Int J Adv Res Comput Commun Eng 4(8)

  17. Tan SK, Sooriyabandara M, Fan Z (2011) M2M communications in the smart grid: applications, standards, enabling technologies, and research challenges. International Journal of Digital Multimedia Broadcasting 2011:Article ID 289015

  18. Smart Grid. Advanced metering infrastructure and customer systems. U.S. Government Smart Grid Website

  19. Samadi P, Mohsenian-Rad H, Robert Schober VWS (2012) Wong. Advanced demand side management for the future smart grid using mechanism design. IEEE Trans Smart Grid 3(3):1170–1180

    Article  Google Scholar 

  20. Fouda MM, Fadlullah ZM, Kato N (2012) A novel demand control policy for improving quality of power usage in smart grid. IEEE GLOBECOM

    Book  Google Scholar 

  21. ETSI TR 102 691. Machine-to-Machine communications (M2M); Smart Metering Use Cases. (2010–05). ETSI, 650 Route des Lucioles F-06921 Sophia Antipolis Cedex – France

  22. Chen H-H (2012) Wireless technologies for smart grid. IEEE Wirel Commun 3:2

    Google Scholar 

  23. Moyer B (2015) Low power, wide area a survey of longer-range IoT wireless protocols. Electronic Engineering Journal

  24. SNS Research (2015) The M2M & IoT Ecosystem: 2015–2030 – opportunities, challenges, strategies, industry verticals & forecasts. SNS Worldwide Ltd, Dubai

  25. Choudhury S, Salomaa K, Akl SG (2012) A cellular automaton model for connectivity preserving deployment of mobile wireless sensors. 2012 I.E. International Conference on Communications (ICC)

  26. Nielsen JJ, Madueño GC et al (2015) What can wireless cellular technologies do about the upcoming smart metering traffic? IEEE Commun Mag 53(9):41–47

    Article  Google Scholar 

  27. Rao YS, Pica F, Krishnaswamy D (2012) 3GPP enhancements for machine type communications overview. IEEE WoWMoM. Panel, San Francisco, California, USA, p 2012

    Google Scholar 

  28. Pratas N, Popovski P (2017) Wireless device-to-device links for machine-to-machine (M2M) communication. 5G Wireless Technologies, Institution of Engineering & Technology

  29. Steri G, Baldini G et al (2016) A novel multi-hop secure LTE-D2D communication protocol for IoT scenarios. Telecommunications (ICT). In: 2016 23rd international conference on. Thessaloniki, Greece

    Google Scholar 

  30. Mustafa HAU, Imran MA et al (2016) Separation framework: an enabler for cooperative and D2D communication for future 5G networks. IEEE Commun Surv Tutorials 18(1):419–445

    Article  Google Scholar 

  31. Wang H, Ding G et al Power control for multiple interfering d2d communications underlaying cellular networks: an approximate interior point approach. Communications Workshops (ICC Workshops), 2017 I.E. International Conference on, 21–25 May 2017, Paris

  32. De Sanctis M, Cianca E, Araniti G, Bisio I, Prasad R (2016) Satellite communications supporting internet of remote things. IEEE Internet Things J 3(1):113–123

    Article  Google Scholar 

  33. Chang D, Lee J, Lin T-H (2014) Smart satellites in smart grids. 2014 I.E. International Conference on Smart Grid Communications (SmartGridComm)

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Acknowledgements

A shorter version of this paper was originally presented at the 1st EAI International Conference on Smart Grid Assisted Internet of Things (SGIoT 2017), July 11–13, 2017, Sault Ste. Marie, Ontario, Canada.

Portions of this work were funded by the NSF grant 1743427.

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Correspondence to Kazem Sohraby or Daniel Minoli.

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Sohraby, K., Minoli, D., Occhiogrosso, B. et al. A Review of Wireless and Satellite-Based M2M/IoT Services in Support of Smart Grids. Mobile Netw Appl 23, 881–895 (2018). https://doi.org/10.1007/s11036-017-0955-1

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  • DOI: https://doi.org/10.1007/s11036-017-0955-1

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