Infrared-Assisted Temperature-Aware Backscatter Access for UAV-Enabled Geothermal Hotspot Sensing.

Area of Science:

• Geophysics
• Wireless Sensor Networks
• Internet of Things (IoT)

Background:

• Geothermal exploration requires dense temperature data in remote areas.
• Wired networks and frequent battery replacement for sensors are impractical and costly.

Purpose of the Study:

• To propose an infrared-assisted, temperature-aware access scheme for UAV-enabled backscatter IoT networks.
• To optimize geothermal hotspot sensing by improving data collection efficiency and energy usage.

Main Methods:

• A UAV equipped with a thermal infrared camera and RF transceiver surveys the area to create a temperature map.
• Ground sensors harvest RF energy and activate based on energy thresholds and target temperature intervals broadcast by the UAV.
• A system model couples geothermal thermal fields, RF energy harvesting, and backscatter access.

Main Results:

• The proposed temperature-energy-gated access scheme significantly increases the successful decoding of packets from hotspot regions.
• It improves the energy efficiency of geothermal monitoring compared to full or energy-only activation.
• Key performance metrics include effective hotspot throughput, task completion time, and energy per report.

Conclusions:

• The developed scheme effectively addresses the challenges of geothermal monitoring in difficult terrains.
• It enhances the practicality and efficiency of UAV-enabled backscatter IoT networks for environmental sensing.