International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

Internet of Things (IoT) Based Effective Home Automation Using a Nod Microcontroller Unit (MCU)

Abstract

Home automation is a topic that is gaining prominence due to its numerous advantages. Simply connecting home appliances and electrical devices to the internet or cloud storage enables home automation. In recent times, the demand for network-enabled home automation has skyrocketed due to its simplicity and comparable affordability. Using user-friendly, custom-defined portals, cloud-computing-based platforms make it possible to easily access anything and everything at any time and place, regardless of the user’s physical location. Consequently, the cloud serves as an entry point for IoT. A motion sensor (PIR sensor) and an alarm bell were used to detect motion around the house. Gas leakage and fire can be detected by implementing an MQ2 gas sensor and a fire sensor. The designed system sends warnings when acceptable deviation exceeds the thresholds. The user can receive notifications on the mobile device by modifying the phone’s application, i.e., Blynk. In addition, the user has full remote control over house facilities such as lighting, air conditioning, doors, security system activation, and system alarms.

Country : Saudi Arabia

1 Idris H. Smaili2 Ghazi Ben Hmida

  1. Electrical Engineering Department, College of Engineering, Jazan University, P.O.Box114, Jazan 45142, Saudi Arabia
  2. Electrical Engineering Department, College of Engineering, Jazan University, P.O.Box114, Jazan 45142, Saudi Arabia

IRJIET, Volume 7, Issue 7, July 2023 pp. 118-126

doi.org/10.47001/IRJIET/2023.707019

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References

  1. S. Madakam, V. Lake, V. Lake, V. Lake, et al., “Internet of things (IoT): A literature review,” Journal of Computer and Communications, vol. 3, no. 05, p. 164, 2015.
  2. M. U. Farooq, M. Waseem, S. Mazhar, A. Khairi, and T. Kamal, “A review on Internet of things (IoT),” International journal of computer applications, vol. 113, no. 1, pp. 1–7, 2015.
  3. A.A. Laghari, K. Wu, R. A. Laghari, M. Ali, and A. A. Khan, “A review and state of art of Internet of things (IoT),” Archives of Computational Methods in Engineering, pp. 1–19, 2021.
  4. A.B. Brush, B. Lee, R. Mahajan, S. Agarwal, S. Saroiu, and C. Dixon, “Home automation in the wild: challenges and opportunities,” in Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 2115– 2124, 2011.
  5. V. S. Gunge and P. S. Yalagi, “Smart home automation: a literature review,” International Journal of Computer Applications, vol. 975, no. 8887-8891, 2016.
  6. N. Malik and Y. Bodwade, “Literature review on home automation system,” IJARCCE, vol. 6, no. 3, pp. 733–737, 2017.
  7. S. Dey, A. Roy, and S. Das, “Home automation using Internet of thing,” in 2016 IEEE 7th annual ubiquitous computing, electronics & mobile communication conference (UEMCON), pp. 1–6, IEEE, 2016.
  8. H. K. Singh, S. Verma, S. Pal, and K. Pandey, “A step towards home automation using IoT,” in 2019 Twelfth International Conference on Contemporary Computing (IC3), pp. 1–5, IEEE, 2019.
  9. R. Sivapriyan, K. M. Rao, and M. Harijyothi, “Literature review of IoT based home automation system,” in 2020 Fourth International Conference on Inventive Systems and Control (ICISC), pp. 101–105, IEEE, 2020.
  10. V. Pandimurugan, A. Jain, and Y. Sinha, “IoT based face recognition for smart applications using machine learning,” in 2020 3rd International Conference on Intelligent Sustainable Systems (ICISS), pp. 1263–1266, IEEE, 2020.
  11. S. K. Vishwakarma, P. Upadhyaya, B. Kumari, and A. K. Mishra, “Smart energy efficient home automation system using IoT,” in 2019 4th International Conference on Internet of things: Smart innovation and usages (IoT-SIU), pp. 1–4, IEEE, 2019.
  12. R. A. Mouha, “Internet of things (IoT),” Journal of Data Analysis and Information Processing, vol. 9, no. 2, pp. 77–101, 2021.
  13. T. K. Hui, R. S. Sherratt,  and D. D. Sánchez,  “Major requirements for building smart homes in smart cities based on Internet of things technologies,” Future Generation Computer Systems, vol. 76, pp. 358–369, 2017.
  14. S. Garg, A. Yadav, S. Jamloki, A. Sadana, and K. Tharani, “IoT based home automation,” Journal of Information and Optimization Sciences, vol. 41, no. 1, pp. 261–271, 2020.
  15. R. Kishore, U. Vigneshwari, N. Prabagarane, K. Savarimuthu, and S. Radha, “Iot based intelligent control system for smart building,” in 2020 International Conference on Innovation and Intelligence for Informatics, Computing and Technologies (3ICT), pp. 1–6, IEEE, 2020.
  16. G. Lulla, A. Kumar, G. Pole, and G. Deshmukh, “Iot based smart security and surveillance system,” in 2021 International conference on emerging smart computing and informatics (ESCI), pp. 385–390, IEEE, 2021.
  17. A.V. M. S. Sainadh, J. S. Mohanty, G. V. Teja, R. K. Bhogal, et al., “Iot enabled real-time remote health monitoring system,” in 2021 5th International Conference on Intelligent Computing and Control Systems (ICICCS), pp. 428–433, IEEE, 2021.
  18. R. Arshad, S. Zahoor, M. A. Shah, A. Wahid, and H. Yu, “Green IoT: An investigation on energy saving practices for 2020 and beyond,” IEEE Access, vol. 5, pp. 15667–15681, 2017.
  19. H. Kim, H. Choi, H. Kang, J. An, S. Yeom, and T. Hong, “A systematic review of the smart energy conservation system:  From smart homes to sustainable smart cities,” Renewable and sustainable energy reviews, vol. 140, p. 110755, 2021.
  20. G. Marques and R. Pitarma, “mhealth: indoor environmental quality measuring system for enhanced health and well-being based on internet of things,” Journal of Sensor and Actuator Networks, vol. 8, no. 3, p. 43, 2019.
  21. Z. N. Aghdam, A. M. Rahmani, and M. Hosseinzadeh, “The role of the Internet of Things in Healthcare: Future trends and challenges,” Computer methods and programs in biomedicine, vol. 199, p. 105903, 2021.
  22. M. I. Khan, M. A. Jan, Y. Muhammad, D.-T. Do, A. U. Rehman, C. X. Mavromoustakis, and E. Pallis, “Tracking vital signs of a patient using channel state information and machine learning for a smart healthcare system,” Neural Computing and Applications, pp. 1–15, 2021.
  23. S. Pal, M. Hitchens, and V. Varadharajan, “Access control for internet of things—enabled assistive technologies: An architecture, challenges and requirements,” in Assistive technology for the elderly, pp. 1–43, Elsevier, 2020.
  24. M. Bansal and S. Garg, “Internet of things (IoT) based assistive devices,” in 2021 6thinternational conference on inventive computation technologies (ICICT), pp. 1006–1009, IEEE, 2021.
  25. Y. Yang, H. Wang, R. Jiang, X. Guo, J. Cheng, and Y. Chen, “A review of IoT-enabled mobile healthcare: technologies, challenges, and future trends,” IEEE Internet of Things Journal, vol. 9, no. 12, pp. 9478–9502, 2022.
  26. V. G. Menon, S. Jacob, S. Joseph, P. Sehdev, M. R. Khosravi, and F. Al-Turjman, “An IoT-enabled intelligent automobile system for smart cities,” Internet of Things, vol. 18, p. 100213, 2022.
  27. K. Dahlgren, S. Pink, Y. Strengers, L. Nicholls, and J. Sadowski, “Personalization and the smart home: Questioning techno-hedonist imaginaries,” Convergence, vol. 27, no. 5, pp. 1155–1169, 2021.
  28. S. Mishra and A. K. Tyagi, “The role of machine learning techniques in Internet of things-based cloud applications,” Artificial intelligence-based Internet of things systems, pp. 105–135, 2022.
  29. A.Khalifeh, F. Mazunga, A. Nechibvute, and B. M. Nyambo, “Microcontroller unit-based wireless sensor network nodes: A review,” Sensors, vol. 22, no. 22, p. 8937, 2022.

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