Energy-Efficient Automation System Using Sensor and IOT
Authors
Kathires J
Department of Electrical Engineering; Sri Ranganathar Institute of Engineering and Technology Coimbatore, India (IN)
Mamathi Saru G
Department of Electrical Engineering; Sri Ranganathar Institute of Engineering and Technology Coimbatore, India (IN)
Ramar M
Department of Electrical Engineering; Sri Ranganathar Institute of Engineering and Technology Coimbatore, India (IN)
Article Information
DOI: 10.51583/IJLTEMAS.2026.150300119
Subject Category: Automation
Volume/Issue: 15/3 | Page No: 1382-1394
Publication Timeline
Submitted: 2026-04-24
Published: 2026-04-23
Abstract
This paper presents an energy-efficient smart automation system based on a hybrid sensing approach using Passive Infrared (PIR) and ultrasonic sensors integrated with Internet of Things (IOT) technology. The main objective of the system is to reduce unnecessary energy consumption by automatically controlling electrical appliances based on human presence.
The PIR sensor is used to detect motion, while the ultrasonic sensor measures distance to identify both moving and stationary occupants. A predefined threshold distance of 150 cm and a delay time of 45 seconds are implemented to ensure reliable operation and to avoid unnecessary switching. The sensed data is processed using the ESP 32 microcontroller, which controls the appliances through a relay module.
The system supports both local and remote control. A web-based interface developed using XAMPP enables users to monitor and control appliances within a local network, while Blynk Cloud allows remote access through a mobile application. In addition, voice control functionality is provided through the application interface for user convenience.
Experimental results confirm that the proposed system effectively reduces energy consumption and achieves significant energy and cost savings under practical operating conditions. The system is simple, cost-effective, and suitable for applications such as smart classrooms, homes, and offices
Keywords
IOT, Energy Efficiency, Ultrasonic Sensor, ESP 32, PIR
Downloads
References
1. A. Al-Fuqaha, M. Guizani, M. Mohammadi, M. Aledhari, and M. Ayyash, “Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications,” IEEE Communications Surveys & Tutorials, vol. 17, no. 4, pp. 2347–2376, 2015. [Google Scholar] [Crossref]
2. L. Da Xu, W. He, and S. Li, “Internet of Things in Industries: A Survey,” IEEE Transactions on Industrial Informatics, vol. 10, no. 4, pp. 2233–2243, 2014. [Google Scholar] [Crossref]
3. D. Giusto, A. Iera, G. Morabito, and L. Atzori, The Internet of Things, Springer, 2010. [Google Scholar] [Crossref]
4. S. Madakam, R. Ramaswamy, and S. Tripathi, “Internet of Things (IoT): A Literature Review,” Journal of Computer and Communications, vol. 3, no. 5, pp. 164–173, 2015. [Google Scholar] [Crossref]
5. H. Karl and A. Willig, Protocols and Architectures for Wireless Sensor Networks, Wiley, 2005. [Google Scholar] [Crossref]
6. M. Swan, “Sensor Mania! The Internet of Things, Wearable Computing, Objective Metrics, and the Quantified Self,” Journal of Sensor and Actuator Networks, vol. 1, no. 3, pp. 217–253, 2012. [Google Scholar] [Crossref]
7. K. Ashton, “That ‘Internet of Things’ Thing,” RFID Journal, 2009. [Google Scholar] [Crossref]
8. O. Vermesan and P. Friess, Internet of Things: Converging Technologies for Smart Environments, River Publishers, 2013. [Google Scholar] [Crossref]
9. C. Perera, A. Zaslavsky, P. Christen, and D. Georgakopoulos, “Context Aware Computing for The Internet of Things: A Survey,” IEEE Communications Surveys & Tutorials, vol. 16, no. 1, pp. 414–454, 2014. [Google Scholar] [Crossref]
10. J. Gubbi, R. Buyya, S. Marusic, and M. Palaniswami, “Internet of Things (IoT): A Vision, Architectural Elements, and Future Directions,” Future Generation Computer Systems, vol. 29, no. 7, pp. 1645–1660, 2013. [Google Scholar] [Crossref]
11. D. Bandyopadhyay and J. Sen, “Internet of Things: Applications and Challenges in Technology and Standardization,” Wireless Personal Communications, vol. 58, no. 1, pp. 49–69, 2011. [Google Scholar] [Crossref]
12. S. Li, L. Xu, and S. Zhao, “The Internet of Things: A Survey,” Information Systems Frontiers, vol. 17, no. 2, pp. 243–259, 2015. [Google Scholar] [Crossref]
13. V. Bhuvaneswari and R. Porkodi, “The Internet of Things (IoT) Applications and Communication Enabling Technology Standards: An Overview,” International Journal of Computer Applications, vol. 153, no. 10, pp. 1–6, 2016. [Google Scholar] [Crossref]
14. A. Rajkumar and M. Abinaya, “Smart Home Automation Using IoT,” International Journal of Engineering Research & Technology, vol. 8, no. 5, pp. 1–4, 2019. [Google Scholar] [Crossref]
15. S. Kumar and K. P. Singh, “Smart Home System Based on IoT Using ESP8266,” International Research Journal of Engineering and Technology (IRJET), vol. 7, no. 6, pp. 2395–2400, 2020. [Google Scholar] [Crossref]
16. P. Suresh and S. Daniel, “Energy Efficient Smart Home Automation System Using IoT,” International Journal of Innovative Technology and Exploring Engineering, vol. 9, no. 2, pp. 2278–3075, 2019. [Google Scholar] [Crossref]
17. M. R. Palattella, N. Accettura, X. Vilajosana, et al., “Standardized Protocol Stack for the Internet of Things,” IEEE Communications Surveys & Tutorials, vol. 15, no. 3, pp. 1389–1406, 2013. [Google Scholar] [Crossref]
Metrics
Views & Downloads
Similar Articles
- Investigating the Performance of Colour Oxide on the PS/CNSO Oil Paint Production
- Real-Time Fabric Defect Detection Using a Lightweight Deformable YOLO Network
- Recent Trends in the Stock Market: An Analytical Study of Market Dynamics, Investor Behaviour, and Technological Influence
- Evaluation of Structural Dynamics and Equilibrium State, with Case Study of Large Cantilever Projection for a 10- Storey Reinforced Concrete Building in Lagos, Nigeria.
- Multi-Criteria Evaluation of AI-Based Adaptive Learning Platforms in Global Higher Education: A Fuzzy AHP Perspective