Design & implementation of smart power management system for self-powered wireless sensor nodes based on fuzzy logic controller using Proteus & Arduino Mega 2560 microcontroller

Efficient power management remains a significant challenge in remote sensor networks due to isolated operational environments and limited traditional energy sources. Existing solutions often struggle to adapt to variable demands and incur high maintenance costs. To address these challenges, this research presents a novel power management system tailored for remote sensor nodes. Leveraging fuzzy-logic methodology, the system intelligently allocates energy from diverse sources such as solar, wind, and batteries, optimizing power distribution while extending the system's operational lifespan. Implemented on an Arduino Mega 2560 microcontroller, the system offers adaptability and compatibility with various IoT applications. Its plug-and-play design enables seamless integration with sensor nodes, enhancing their self-powered capabilities. Validation through extensive simulations using Proteus 8.12 Pro confirms the system's efficacy, compatibility, and reliability in sustaining continuous power flow to variable loads and battery units. This research bridges the gap in remote sensor power management, offering a promising solution to mitigate challenges associated with traditional power systems in such environments. By reducing maintenance costs and enhancing reliability, this innovative approach holds promise for enhancing the longevity and effectiveness of remote sensor networks.