Data Collection from Buried Sensor Nodes by Means of an Unmanned Aerial Vehicle

Area of Science:

• Sensor Networks
• Robotics
• Wireless Communication

Background:

• Wireless Underground Sensor Networks (WUSNs) are emerging for buried sensor applications.
• Signal attenuation in soil severely limits communication range and data collection in WUSNs.
• Existing WUSN systems struggle with reliable data retrieval from subterranean nodes.

Purpose of the Study:

• To propose and validate a novel system combining WUSNs with Unmanned Aerial Vehicles (UAVs) for enhanced data collection.
• To investigate the impact of UAV altitude and movement on signal strength and data acquisition.
• To develop an optimal UAV trajectory planning method for efficient data collection from multiple WUSN nodes.

Main Methods:

• Development of integrated system including sensor nodes, UAV-mounted data collector, and gateway.
• Experimental validation in real-world conditions, testing UAV in hovering and dynamic modes.
• Implementation of evolutionary algorithms for UAV trajectory optimization.

Main Results:

• RSSI measurements confirmed the importance of UAV altitude for maintaining signal quality.
• Feasibility of data collection demonstrated with a moving UAV, with speed adaptation being crucial.
• Optimal UAV trajectory planning using evolutionary algorithms showed efficiency for numerous nodes.

Conclusions:

• The integration of UAVs offers a viable solution to WUSN data collection limitations.
• Experimental results validate the system's performance in practical scenarios.
• This work pioneers the combined experimental application of WUSN and UAV technologies for subterranean sensing.