Real-Time Performance of a Self-Powered Environmental IoT Sensor Network System

Area of Science:

• Electrical Engineering
• Computer Science
• Environmental Science

Background:

• Wireless sensor networks (WSNs) are crucial for real-time environmental monitoring.
• The Internet-of-Things (IoT) necessitates widespread deployment of low-power sensors.
• Limited battery life of sensor nodes presents a significant challenge for continuous monitoring.

Purpose of the Study:

• To propose and analyze a solar energy harvesting system for wireless sensor networks.
• To ensure a continuous and reliable power supply for sensor nodes in IoT applications.
• To demonstrate the feasibility of a self-sustaining sensor network for environmental monitoring.

Main Methods:

• Development of a wireless sensor network utilizing low-power sensor electronics.
• Integration of XBee wireless modules for network communication.
• Implementation of solar energy harvesting techniques to power the sensor nodes.
• Detailed performance analysis of the system under solar energy harvesting conditions.

Main Results:

• The proposed solar energy harvesting system successfully provides a continuous power source.
• The sensor network demonstrated reliable and continuous operation throughout the day.
• Successful real-time implementation of the energy-harvesting sensor network was achieved.

Conclusions:

• Solar energy harvesting is a viable solution for powering wireless sensor networks in IoT.
• The developed system ensures uninterrupted monitoring of environmental data.
• The findings offer practical insights into implementing sustainable sensor networks.