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IoT-Based Cloud-Enabled Smart Electricity Management System

  • Apoorva ParasharEmail author
  • Anubha Parashar
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 141)

Abstract

In the age of digitalization, Internet-based applications are gaining popularity at an exponential rate. Today, everyone wants to make their lives easier and devices smarter. In the age of automation, most of the devices we interact with on a day-to-day basis, for example, air conditioners, refrigerators, etc. are made increasingly intelligent to simplify our lives and make it comfortable. Using the principles of IoT and AI, we can create home automation devices such as automatic security devices and e-meters that make our homes smarter and more secure. Keeping a track of how much electricity is consumed per household becomes imperative seeing the rate at which global warming is increasing. Gone are the days where users had to go to meter reading room and take down readings. By employing IoT concepts, we can simplify this tedious process and record the reading over cloud for easy accessibility. The major advantage of digitalizing the process is that the user has the facility to view his consumption remotely, i.e., anywhere in the world. This also enables the user to keep a log of how many units of electricity a device is consuming and with how much amount the user is being charged fairly or not.

Keywords

Internet of things Energy meter billing GSM Cloud Big data 

References

  1. 1.
    Collier, S.E.: The emerging enernet: convergence of the smart grid with the Internet of Things. In: Rural Electric Power Conference (REPC), pp. 65–68 (2015)Google Scholar
  2. 2.
    Deng, R., Yang, Z., Chow, M.-Y., Chen, J.: A survey on demand response in smart grids: mathematical models and approaches. IEEE Trans. Industr. Inf. 11(3), 570–582 (2015)CrossRefGoogle Scholar
  3. 3.
    Temel, S., Gungor, V.C., Kocak, T.: Routing protocol design guidelines for smart grid environments. Comput. Netw. 60, 160–170 (2014)CrossRefGoogle Scholar
  4. 4.
    Ma, R., Chen, H.-H., Huang, Y.-R., Meng, W.: Smart grid communication: its challenges and opportunities. IEEE Trans. Smart Grid 4(1), 36–46 (2013)CrossRefGoogle Scholar
  5. 5.
    Wang, W., Xu, Y., Khanna, M.: A survey on the communication architectures in smart grid. Comput. Netw. 55(15), 3604–3629 (2011)CrossRefGoogle Scholar
  6. 6.
    Yaacoub, E., Abu-Dayya, A.: automatic meter reading in the smart grid using contention based random access over the free cellular spectrum. Comput. Netw. 59, 171–183 (2014)CrossRefGoogle Scholar
  7. 7.
    Yigit, M., Gungor, V.C., Baktir, S.: Cloud computing for smart grid applications. Comput. Netw. 70, 312–329 (2014)CrossRefGoogle Scholar
  8. 8.
    Sun, H., Nallanathan, A., Tan, B., Thompson, J.S., Jiang, J., Poor, H.V.: Relaying technologies for smart grid communications. IEEE Wirel. Commun. 19(6), 52–59 (2012)CrossRefGoogle Scholar
  9. 9.
    Bush, S.: Network theory and smart grid distribution automation. IEEE J. Sel. Areas Commun. 32(7), 1451–1459 (2014)CrossRefGoogle Scholar
  10. 10.
    Meng, W., Ma, R., Chen, H.-H.: Smart grid neighborhood area networks: a Survey. IEEE Netw. 28(1), 24–32 (2014)CrossRefGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Maharshi Dayanand UniversityRohtakIndia
  2. 2.Manipal UniversityJaipurIndia

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