Research on Energy Harvesting Mechanism and Low Power Technology in Wireless Sensor Networks

Area of Science:

• Electrical Engineering
• Computer Science
• Network Engineering

Background:

• Wireless sensor networks (WSNs) are vital for real-time data collection but face limitations in energy, storage, and processing power.
• Node lifespan in WSNs is critically dependent on power availability, necessitating strategies for power improvement and energy conservation.

Purpose of the Study:

• To propose and evaluate an energy harvesting system and a low-energy-consumption mechanism for extending WSN operational life.
• To address the limitations of energy availability and consumption in WSNs through innovative technological solutions.

Main Methods:

• Investigated energy harvesting using solar and mechanical vibration, analyzing piezoelectric cantilever voltage output.
• Developed a neighbor discovery mechanism employing separation beacons and ACK replies with a duty cycle to minimize idle listening.
• Implemented a data fusion mechanism using integer wavelet transform for spatiotemporal data redundancy elimination.

Main Results:

• Energy harvesting ensures a continuous power supply for sensor nodes.
• The proposed neighbor discovery mechanism significantly reduces discovery delay compared to existing protocols (Disco, U-connect).
• Data fusion achieves a compression rate of 5.42, reducing data transmission energy consumption.

Conclusions:

• The integrated approach of energy harvesting and low-power mechanisms effectively enhances WSN lifespan and performance.
• The developed mechanisms offer substantial improvements in energy efficiency and data handling for WSNs.