International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| TITLE | Smart Street Lighting System using Piezoelectric Sensors and IoT Tec |
|---|---|
| ABSTRACT | Street lighting systems consume a significant amount of electrical energy due to continuous nighttime operation and lack of adaptive control. This paper presents a smart street lighting system that integrates piezoelectric energy harvesting, sensor based automation, and Internet of Things (IoT) monitoring to improve energy efficiency and reliability. Piezoelectric sensors embedded beneath road surfaces generate electrical energy from vehicular and pedestrian movement, which is stored and used to power the system. An ESP32 microcontroller manages energy monitoring, day–night detection using a light dependent resistor, motion based lighting control through infrared sensors, and relay based streetlight operation. A fault detection mechanism verifies streetlight functionality, while real time system updates are transmitted via IoT using Telegram notifications. Experimental results demonstrate reduced energy wastage, reliable fault detection, and effective remote monitoring, making the proposed system suitable for smart city applications. |
| TITLE | |
| AUTHOR | DR. GANAPATHI V SAGAR, DARSHAN KUMAR G, AMBARISH N, P REDDY, INCHARA Department of Electronics and Instrumentation Engineering, Dr. Ambedkar Institute of Technology, Bengaluru, India |
| VOLUME | 177 |
| DOI | DOI: 10.15680/IJIRCCE.2025.1312089 |
| pdf/89_Smart Street Lighting System using Piezoelectric Sensors.pdf | |
| KEYWORDS | |
| References | [1] K. V. Thopate et al., “Smart street light monitoring system for enhanced energy efficiency,” 2023. [2] J. V. Anchitaalagammai, S. M. Alim, C. V. A. Sarthy, and A. S. Kumar, “IoT based automated street light control with fault detection and reporting system,” 2023. [3] S. Bhisikar, P. Jagtap, S. Sonawane, and P. Pisal, “Enhanced streetlight management using IoT and ESP32 for automated fault detection,” 2024. [4] P. Kumar, A. Singh, and R. Mishra, “Energy efficient smart street lighting system using IoT and machine learning,” 2024. [5] J. Kaur, S. Singh, and P. Kaur, “Design and implementation of smart street lighting system using piezoelectric sensors,” 2023. [6] S. Nair and J. Joseph, “IoT based smart street lighting system with piezoelectric energy harvesting,” 2023. |
