Skip to main content

Advertisement

Log in

Smart Home Tracking: A Smart Home Architecture for Smart Energy Consumption in a Residence with Multiple Users

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

In this project, an architecture is implemented that can monitor and assist users in calculating their energy consumption by means of IoT technologies. It is necessary to create a system to improve and help the user in their consumption-based planning due to advances in technology. This implementation can be achieved with the use of IoT (Internet of Things) and thus ensure user convenience and comfort, which is the main goal of a smart home. These technologies involve the interoperability of the data obtained from each appliance and the location of users between the communication hardware layers specified for monitoring. This paper also provides information about cloud services, which are made available by middleware and may also include new external applications. The architecture offers details about consumption and recommends means to improve it by creating profiles which can help end users in making decisions for better optimization of the consumption rate that matches the demands of the customers or the electric power utility. This paper concludes that this architecture is very promising and new and viable technologies can be implemented to make significant improvements for the residents and electric power utilities.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15
Fig. 16

Similar content being viewed by others

References

  1. Dogaru, L. (2020). The main goals of the fourth industrial revolution. renewable energy perspectives. Procedia Manufacturing, 46, 397–401.

    Article  Google Scholar 

  2. Neto, J., de Andrade, P., Vilanueva, J., & Santos, F. (2018). Big data analytics of smart grids using artificial intelligence for the outliers correction at demand measurements. In 2018 3rd International symposium on instrumentation systems, circuits and transducers (INSCIT) (pp. 1–6). IEEE.

  3. Berawi, M. A. (2019). Managing nature 5.0 in industrial revolution 4.0 and society 5.0 era. International Journal of Technology, 10(2): 222

  4. Wang, K., Wang, Y., Hu, X., Sun, Y., Deng, D.-J., Vinel, A., & Zhang, Y. (2017). Wireless big data computing in smart grid. IEEE Wireless Communications, 24(2), 58–64.

    Article  Google Scholar 

  5. Dileep, G. (2020). A survey on smart grid technologies and applications. Renewable Energy, 146, 2589–2625.

    Article  Google Scholar 

  6. Kimani, K., Oduol, V., & Langat, K. (2019). Cyber security challenges for iot-based smart grid networks. International Journal of Critical Infrastructure Protection, 25, 36–49.

    Article  Google Scholar 

  7. Cintuglu, M. H., Mohammed, O. A., Akkaya, K., & Uluagac, A. S. (2017). A survey on smart grid cyber-physical system testbeds.

  8. Li, M., Gu, W., Chen, W., He, Y., Wu, Y., & Zhang, Y. (2018). Smart home: architecture, technologies and systems. Procedia Computer Science, 131, 393–400.

    Article  Google Scholar 

  9. Marikyan, D., Papagiannidis, S., & Alamanos, E. (2019). A systematic review of the smart home literature: A user perspective. Technological Forecasting and Social Change, 138, 139–154.

    Article  Google Scholar 

  10. Malche, T., & Maheshwary, P. (2017). Internet of Things (IoT) for building smart home system. In Proceedings of the international conference on IoT in social, mobile, analytics and cloud, I-SMAC 2017.

  11. Andrade, S. H., Da Luz Oliveira, E., Alfaia, R., Souto, A., Frances, C. R. L., & Vijaykumar, N. L. (2017). Adopting fuzzy technique to save energy in smart home control systems. In 58th Annual international scientific confererence on power and electrical engineering of Riga Technical University, RTUCON 2017—proceedings.

  12. Oliveira, E. D. L., Alfaia, R. D., Souto, A. V., Silva, M. S., Francês, C. R. L., & Vijaykumar, N. L. (2017). SmartCoM: Smart consumption management architecture for providing a user-friendly smart home based on metering and computational intelligence. Journal of Microwaves, Optoelectronics and Electromagnetic Applications.

  13. Mahmud, S., Ahmed, S., & Shikder, K. (2019). A smart home automation and metering system using internet of things (IoT). In 1st International conference on robotics, electrical and signal processing techniques, ICREST 2019.

  14. Botticelli, M., Ciabattoni, L., Ferracuti, F., Monteriu, A., Pizzuti, S., & Romano, S. (2018). A smart home services demonstration: Monitoring, control and security services offered to the user. In IEEE international conference on consumer electronics—Berlin, ICCE-Berlin.

  15. Krishna, P. N., Gupta, S. R., Shankaranarayanan, P. V., Sidharth, S., & Sirphi, M. (2018). Fuzzy logic based smart home energy management system. In 2018 9th International conference on computing, communication and networking technologies, ICCCNT 2018.

  16. Mao, X., Li, K., Zhang, Z., & Liang, J. (2017). Design and implementation of a new smart home control system based on internet of things. In 2017 International smart cities conference, ISC2 2017.

  17. Alzafarani, R. A., & Alyahya, G. A. (2018) Energy efficient IoT home monitoring and automation system. In 2018 15th Learning and technology conference, L and T 2018.

  18. Utama, D. Q., Irawan, Y. S., Nur Aulia, M., Riyani, A., Koesoema, A. P., & Azhar, T. N. (2018). Bio based autonomous smart home concept. In Proceedings of 2017 5th international conference on instrumentation, communications, information technology, and biomedical engineering, ICICI-BME 2017.

  19. Prajwal, K. T., & Sitaram, S. N. (2018) Gupta, Smart home energy management system using fuzzy logic for continuous power supply with economic utilisation of electrical energy. In Proceedings of the 2nd international conference on inventive systems and control, ICISC 2018.

  20. Patel, A., & Champaneria, T. A. (2017). Fuzzy logic based algorithm for context awareness in IoT for smart home environment. In IEEE region 10 annual international conference, proceedings/TENCON.

  21. Khan, K., Hossen, T., Savasci, A., Gauchia, L., & Paudyal, S. (2019). Design of a simplified hierarchical Bayesian network for residential energy storage degradation. In IEEE power and energy society general meeting.

  22. Shahjalal, M., Hasan, M. K., Islam, M. M., Alam, M. M., Ahmed, M. F., & Jang, Y. M. (2020). An overview of AI-enabled remote smart- home monitoring system using LoRa. In 2020 International conference on artificial intelligence in information and communication, ICAIIC 2020.

  23. Govindraj, V., Sathiyanarayanan, M., & Abubakar, B. (2018) Customary homes to smart homes using Internet of Things (IoT) and mobile applicatio. In Proceedings of the 2017 international conference on smart technology for smart nation, SmartTechCon 2017.

  24. Somani, S., Solunke, P., Oke, S., Medhi, P., & Laturkar, P. P. (2018). IoT based smart security and home automation. In Proceedings—2018 4th international conference on computing, communication control and automation, ICCUBEA 2018.

  25. Haidine, A., Aqqal, A., & Dahbi, A. (2019). Performance evaluation of low-power wide area based on LoRa technology for smart metering. In Proceedings—2018 international conference on wireless networks and mobile communications, WINCOM 2018.

  26. Prayongpun, N., & Sittakul, V. (2017). Smart plug for household appliances. In Advances in intelligent systems and computing.

  27. Alam, M. A. U., Roy, N., & Misra, A. (2019). Tracking and behavior augmented activity recognition for multiple inhabitants. IEEE Transactions on Mobile Computing

  28. Pena, M. A. L., & Fernandez, I. M. (2019). Sat-iot: An architectural model for a high-performance fog/edge/cloud iot platform. In IEEE 5th world forum on internet of things, WF-IoT 2019—conference proceedings.

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Sérgio H. M. S. Andrade.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Andrade, S.H.M.S., Contente, G.O., Rodrigues, L.B. et al. Smart Home Tracking: A Smart Home Architecture for Smart Energy Consumption in a Residence with Multiple Users. Wireless Pers Commun 123, 3241–3262 (2022). https://doi.org/10.1007/s11277-021-09286-2

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11277-021-09286-2

Keywords

Navigation