Power Reduction with Sleep/Wake on Redundant Data (SWORD) in a Wireless Sensor Network for Energy-Efficient Precision...

Area of Science:

• Agricultural Engineering
• Computer Science
• Electrical Engineering

Background:

• Wireless sensor networks (WSNs) are crucial for precision agriculture, monitoring environmental conditions.
• Prolonging sensor node lifespan is a major challenge in real-world WSN deployments.
• Existing WSNs in agriculture face limitations in energy efficiency.

Purpose of the Study:

• To minimize energy consumption in wireless agriculture systems (WAS) for air temperature, humidity, and soil moisture monitoring.
• To develop novel power reduction schemes for sensor and router nodes.
• To enhance the operational longevity of agricultural WSNs.

Main Methods:

• Implemented a sleep/wake scheme based on duty cycling.
• Developed the Sleep-Wake on Redundant Data (SWORD) algorithm, integrating the sleep/wake scheme with soil moisture redundancy.
• Integrated a 12 V/5 W solar cell for sustained WAS operation.

Main Results:

• The sleep/wake scheme improved power savings for sensor and router nodes.
• The SWORD algorithm reduced power consumption by 99.48% compared to traditional operation.
• SWORD minimized data communication by 86.45% compared to the basic sleep/wake scheme.
• Average sensor node current consumption was reduced to 0.1 mA with SWORD.

Conclusions:

• The proposed sleep/wake and SWORD algorithms effectively reduce power consumption in agricultural WSNs.
• SWORD demonstrates superior performance over existing power reduction techniques.
• The developed system enhances the efficiency and sustainability of precision agriculture.