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V.S.D Vaishnavi,
M. Karthik,
K. Sai Prasad,
P. Bhanu Prakash,
Mrs. K. Lakshmi Priyanka,
- Student, Department of Electronics and Communication Engineering, Bonam Venkata Chalamayya Engineering College (Autonomous), Odalarevu, Andhra Pradesh, India
- Student, Department of Electronics and Communication Engineering, Bonam Venkata Chalamayya Engineering College (Autonomous), Odalarevu, Andhra Pradesh, India
- Student, Department of Electronics and Communication Engineering, Bonam Venkata Chalamayya Engineering College (Autonomous), Odalarevu, Andhra Pradesh, India
- Student, Department of Electronics and Communication Engineering, Bonam Venkata Chalamayya Engineering College (Autonomous), Odalarevu, Andhra Pradesh, India
- Assistant Professor, Department of Electronics and Communication Engineering, Bonam Venkata Chalamayya Engineering College (Autonomous), Odalarevu, Andhra Pradesh, India
Abstract
This paper presents an Adaptive Street Illumination System with Energy Harvesting, developed using an Arduino Uno microcontroller, Light Dependent Resistor (LDR), Infrared (IR) motion sensors, and piezoelectric transducers. The system addresses the significant energy wastage of conventional street lighting by activating LEDs only when motion is detected during nighttime. The LDR detects ambient light to determine day or night conditions, while IR sensors identify the presence of vehicles or pedestrians. Piezoelectric modules embedded beneath the road surface harvest mechanical energy from vehicle movement, convert it to electrical energy via a bridge rectifier, and store it in a rechargeable battery. Therefore, The given suggested system features real- time responsiveness and adaptive control mechanisms for optimizing energy consumption based on fluctuating traffic conditions. By adjusting lighting intensity according to detected activity levels, it boosts the overall efficiency of the system. The design facilitates low-cost implementation and easy installation, making it practical for widespread use. Moreover, the incorporation of energy harvesting methods can greatly diminish reliance on external power sources and foster sustainable energy use. The Arduino Uno integrates all subsystems, providing intelligent, automated, and energy-efficient operation. This solution reduces power consumption, operational costs, and carbon emissions, making it suitable for smart city infrastructure.
Keywords: Adaptive street lighting, energy harvesting, piezoelectric sensor, LDR, IR motion sensor, Arduino Uno, smart city.
V.S.D Vaishnavi, M. Karthik, K. Sai Prasad, P. Bhanu Prakash, Mrs. K. Lakshmi Priyanka. ADAPTIVE STREET ILLUMINATION SYSTEM WITH ENERGY HARVESTING. International Journal of Electronics Automation. 2026; 04(01):-.
V.S.D Vaishnavi, M. Karthik, K. Sai Prasad, P. Bhanu Prakash, Mrs. K. Lakshmi Priyanka. ADAPTIVE STREET ILLUMINATION SYSTEM WITH ENERGY HARVESTING. International Journal of Electronics Automation. 2026; 04(01):-. Available from: https://journals.stmjournals.com/ijea/article=2026/view=240438
References
[1] Siddiqui MA, Rama Krishna C, Kalra M. Anomaly Detection System for Smart Lighting. InInternational Conference on Emerging Electronics and Automation 2023 Dec 15 (pp. 31-45). Singapore: Springer Nature Singapore.
[2] Chavan SS, Deshpande RS, Rana JG. Design of intelligent traffic light controller using embedded system. In2009 Second International Conference on Emerging Trends in Engineering & Technology 2009 Dec 16 (pp. 1086-1091). IEEE.
[3] Morales-Herrera R, Fernández-Caballero A, Somolinos JA, Sira-Ramírez H. Integration of sensors in control and automation systems. Journal of Sensors. 2017 Jan 1;2017:1-2.
[4] Taraba M, Adamec J, Danko M, Drgona P. Utilization of modern sensors in autonomous vehicles. In2018 ELEKTRO 2018 May 21 (pp. 1-5). IEEE.
[5] Ibrahim HH, Singh MJ, Al-Bawri SS, Ibrahim SK, Islam MT, Alzamil A, Islam MS. Radio frequency energy harvesting technologies: A comprehensive review on designing, methodologies, and potential applications. Sensors. 2022 May 30;22(11):4144.
[6] Teleron JI. Development of Educational Trainer Using 8051, Arduino, ESP8266, Raspberry Pi for Multi- Platform Microcontroller Learning. In2025 International Conference on Computer and Applications (ICCA) 2025 Dec 22 (pp. 1-6). IEEE.
[7] Sarwary MH, Pavlov D. Energy efficiency and Economic aspects of Lighting. In2019 Second Balkan Junior conference on Lighting (Balkan Light Junior) 2019 Sep 19 (pp. 1-5). IEEE.
[8] Yang YS, Lee SH, Chen GS, Yang CS, Huang YM, Hou TW. An implementation of high efficient smart street light management system for smart city. IEEE access. 2020 Feb 21;8:38568-85.
[9] Shahzad G, Yang H, Ahmad AW, Lee C. Energy-efficient intelligent street lighting system using traffic- adaptive control. IEEE Sensors Journal. 2016 Apr 21;16(13):5397-405.
[10] Mohanty P, Pati UC, Mahapatra K, Mohanty SP. bSlight: Battery-less energy autonomous street light management system for smart city. IEEE Transactions on Sustainable Computing. 2023 Aug 31;9(1):100-14.

International Journal of Electronics Automation
| Volume | 04 |
| 01 | |
| Received | 28/03/2026 |
| Accepted | 15/04/2026 |
| Published | 22/04/2026 |
| Publication Time | 25 Days |
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