Design and Implementation of an IoT-Enabled Smart Home Automation with Mobile Integration

Abstract

This project explores the implementation of IoT technologies in home automation, enabling remote control and monitoring of household appliances for enhanced convenience, energy efficiency, and security. By integrating smart devices with a user-friendly interface, the system allows users to manage their home environment through smartphones or voice commands, demonstrating the potential of IoT to transform everyday living. This project introduces a novel IoT-based home automation system designed to enhance convenience, energy efficiency, and security in residential environments. The system leverages a network of sensors, actuators, and a central control unit (e.g., NodeMCU or Raspberry Pi) to monitor and control various home appliances and devices. Key features include remote access via a mobile application, automated temperature and humidity control, smart lighting management, and security alerts. The project aims to demonstrate the feasibility and benefits of using IoT for creating a smart, interconnected home that adapts to the user\'s needs and preferences.

Introduction

The paper presents a low-cost, flexible home automation and environmental monitoring system using a NodeMCU microcontroller with embedded micro web server capabilities. This setup enables remote control of home devices (lights, fans, pumps, sensors) via an IP-connected web app or Bluetooth Android app, without requiring a dedicated PC server. The system integrates sensors like temperature, gas, and motion detectors to provide comprehensive home environment control beyond simple switching.

Rooted in the Internet of Things (IoT) concept, where devices have unique IP addresses for internet identification, the system uses Wi-Fi for connectivity through a wireless router, enabling standalone operation. Hardware includes NodeMCU, relay modules, and various appliances, while software utilizes Arduino IDE and simulation tools.

A detailed power supply design is described, including step-down transformers, bridge rectifiers for full-wave rectification, filtering capacitors, and voltage regulators (like 7805/7812 ICs) to ensure stable DC power.

The Blynk app is employed for user interaction, offering real-time remote control, sensor data visualization, and hardware communication through authentication tokens. The paper outlines setup steps for Blynk projects, hardware selection, and widget configuration.

For load management, the system controls devices via relays operated by transistor switches, enabling ON/OFF control of appliances safely and effectively.

Overall, this IoT-based system facilitates efficient, remote, and cost-effective smart home management with easy scalability and user-friendly interfaces.

Conclusion

This study presented the design and implementation of a low-cost, IoT-enabled home automation system integrating mobile control. Employing locally available components, the developed circuit effectively controlled various household appliances—ranging from security lamps and entertainment systems to air conditioning and entire house lighting—while being compact enough for inconspicuous installation. The system was subjected to multiple tests, confirming its capability to reliably manage different home appliances. This demonstrates both the scalability and flexibility of the proposed design. By integrating an embedded load-control circuit with IoT connectivity and mobile app support, the project addresses the growing demand for accessible smart home solutions. Its low-cost, modular design makes it highly adaptable, offering practical utility in diverse residential settings. These findings contribute valuable insights to the advancement of smart-home engineering and IoT-driven power control systems. Looking ahead, future research can explore incorporating energy consumption monitoring, enhanced security features like encryption and authentication, and extending support to voice command integration (e.g., with Alexa or Google Assistant). Further investigation into network resilience and interoperability with existing smart-home ecosystems will improve commercial viability and user experience. This work establishes a robust foundation for affordable, scalable smart-home automation, opening avenues for continued innovation and real-world applications.

References

[1] D. Devi Divya, D.Sudhir Reddy , G. Vineela Deepthi, K. Durga Prasad, IOT Home Automation Using BLYNK AND NODE MCU, International Journal of Engineering Technology and Management Sciences, Special Issue: 1 Volume No.6, July 2022. [2] IoT Based Home Automation Using Raspberry PI, International Journal of Innovative Studies in Sciences and Engineering Technology (IJISSET) ISSN 2455-4863 (Online) www.ijisset.org Volume: 3 Issue: 4 | April 2017 [3] Mark Murphy (2011): Beginning Android 3, Après. ISBN-13 (pbk): 978-1-4302-3297-1 ISBN-13 (electronic): 978-1-4302-3298- [4] Addison-Wesley (2011): Android Wireless Application Development, 2nd edition ISBN-13: 978-0-321-74301-5 ISBN-10: 0-321-74301-6 [5] Wikipedia (2009). Home Automation. From http://en. Wikipedia. Org/wiki/Home automation. Retrieved on 20/5/2018 [6] Martin Bates (2006). Interfacing PIC Microcontrollers Embedded Design by Interactive Simulation. Newness, London. [7] S. Alam, M. M. R. Chowdhury, and J. Noll, “Senaas: An event-driven sensor virtualization approach for internet of things cloud,” in Networked Embedded Systems for Enterprise Applications (NESEA), 2010 IEEE International Conference on, November 2010. [8] Z. Schelby, K. Hartke, and C. Bormann, (Aug. 28, 2013) „„Constrained application protocol (CoAP),?? CoRE Working Group Internet-Draft. [Online].

Copyright

Copyright © 2025 Dr. Kayalvizhi M., G. Lakshmi Priya, N. Durairaj, M. S. Praveen. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.