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Sky and wire: A UAV-BPL synchronization algorithm for information exchange in herding operations.

Bashir Olaniyi Sadiq1,2, Motirh Al-Mutairi3, Yusuf Abubakar Sha'aban4

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Summary
This summary is machine-generated.

This study introduces a novel UAV-BPL algorithm for reliable farm data collection, overcoming wireless connectivity issues in rural herding operations. The system offers cost-effective, scalable solutions for enhanced livestock and environmental monitoring.

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Area of Science:

  • Agricultural Technology
  • Wireless Communication Systems
  • Robotics in Agriculture

Background:

  • Rural herding operations face significant challenges due to unreliable wireless connectivity, impacting real-time monitoring of livestock and environmental conditions.
  • Existing solutions like satellite or cellular networks are often prohibitively expensive or impractical for large rural areas, while short-range technologies lack sufficient coverage.
  • Effective data collection is crucial for optimizing productivity and sustainability in modern agricultural practices.

Purpose of the Study:

  • To develop and evaluate a cost-effective and scalable data collection algorithm for rural herding operations.
  • To address the limitations of existing wireless communication technologies in large-scale farm environments.
  • To enhance real-time monitoring capabilities for livestock, environmental conditions, and operational status.

Main Methods:

  • A Unmanned Aerial Vehicle (UAV)-Broadband over Power Line (BPL) synchronization algorithm was developed, leveraging the farm's electrical grid for data transmission.
  • Two distinct operational scenarios were proposed and simulated: Coverage-Driven for maximum data acquisition and Priority-Driven for urgent data transmission.
  • Performance was evaluated using MATLAB simulations, analyzing key indicators including coverage, energy consumption, relay visit frequency, and response timeliness.

Main Results:

  • The Coverage-Driven scenario achieved 99.2% data collection coverage, ensuring comprehensive monitoring and data redundancy.
  • The Priority-Driven scenario successfully covered 100% of high-urgency data sources with approximately 12% energy consumption.
  • Simulations demonstrated the algorithm's effectiveness in improving farm management through enhanced scalability and adaptability.

Conclusions:

  • The proposed UAV-BPL synchronization algorithm offers a practical and efficient solution for data collection in rural herding operations.
  • The system effectively combines UAV mobility with the robust connectivity of BPL, overcoming previous limitations in farm-wide communication.
  • This innovative approach significantly enhances productivity and sustainability in dairy herding through improved monitoring and rapid response capabilities.