IoT-Enabled Energy Harvesting Sensor Network for Smart Industries

G. Thirumalaiah, A. Reddy Ganga Vasantha Lakshmi, D. Shahid, D. Sardhar Hussain, N. Poojitha

2025

Abstract

Wireless Sensor Networks (WSNs) serve as an advanced industrial monitoring solution because they obtain real-time data for multiple industrial applications while optimizing these procedures. The networks include distributed sensors and actuators that permit simple measurements of critical parameters ranging from temperature to humidity along with vibration and pressure. Economical reliable continuous monitoring requirements for industries adopting smart automation systems causes WSNs to adopt renewable energy systems and energy-harvesting methods. Operating durations for these sensor networks become extended by employing renewable solar energy sources and harvesting energy from wind power and mechanical vibrations while reducing traditional power dependency. WSN devices enabled with environmental ambient energy can establish independent power systems that deliver continuous industrial monitoring operations. This paper investigates sustainable operation needs of wireless sensor networks with energy harvesting capabilities required for smart industrial monitoring and describes ongoing developments and obstacles in renewable power utilization for autonomous capability.The proposed Smart Self-Powered Wireless Sensor Network for Industrial Monitoring using Machine Learning establishes a self-charging industrial monitoring system that operates through a 12V battery powered by combinations of solar panel energy and piezoelectric sensor energy. The system operates continuously through automatic battery and AC mains power switching managed by relays. The central processing unit of this system operates on a Raspberry Pi while monitoring several sensors including DHT11 for environmental temperature detection and humidity measurements and DS18B20 for machine interior temperature evaluation along with harmful gas detection through an MQ-135 gas sensor.

Paper Citation

in Harvard Style

Thirumalaiah G., Lakshmi A., Shahid D., Hussain D. and Poojitha N. (2025). IoT-Enabled Energy Harvesting Sensor Network for Smart Industries. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 321-329. DOI: 10.5220/0013882400004919

in Bibtex Style

@conference{icrdicct`2525,
author={G. Thirumalaiah and A. Lakshmi and D. Shahid and D. Hussain and N. Poojitha},
title={IoT-Enabled Energy Harvesting Sensor Network for Smart Industries},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25},
year={2025},
pages={321-329},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013882400004919},
isbn={978-989-758-777-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25
TI - IoT-Enabled Energy Harvesting Sensor Network for Smart Industries
SN - 978-989-758-777-1
AU - Thirumalaiah G.
AU - Lakshmi A.
AU - Shahid D.
AU - Hussain D.
AU - Poojitha N.
PY - 2025
SP - 321
EP - 329
DO - 10.5220/0013882400004919
PB - SciTePress