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

**Authors:** Bashir Olaniyi Sadiq, Motirh Al-Mutairi, Yusuf Abubakar Sha’aban, Houssem Rafik El-Hana Bouchekara, Khalid Almutairi, Antar Abdul-Qawy, Antar Abdul-Qawy, Antar Abdul-Qawy, Antar Abdul-Qawy

PMC · DOI: 10.1371/journal.pone.0334888 · PLOS One · 2025-10-22

## TL;DR

This paper introduces a new system using drones and power line communication to improve data collection in rural herding operations.

## Contribution

The novel UAV-BPL synchronization algorithm enables scalable and cost-effective data exchange in rural areas.

## Key findings

- The Coverage-Driven scenario achieves 99.2% coverage and critical data redundancy.
- The Priority-Driven scenario covers 100% of priority sources with ~12% energy consumption.
- MATLAB simulations show the system improves monitoring and response timeliness in herding operations.

## Abstract

Herding operations in rural areas often lack reliable wireless connectivity, hindering real-time monitoring of livestock, environmental conditions, and operational status. Existing solutions like satellite or cellular networks are costly or impractical, while short-range wireless technologies struggle with large farm coverage. This paper presents a UAV-BPL synchronization algorithm that uses the farm’s existing electrical grid via Broadband over Power Line (BPL) communication to enable cost-effective, scalable data collection. The algorithm integrates Unmanned Aerial Vehicles (UAVs) with BPL relay points to optimize information exchange in herding operations. Two operational scenarios are proposed in the paper: the Coverage-Driven scenario that maximizes data collection from all sources, achieving 99.2% coverage and critical data redundancy, and the Priority-Driven scenario that focuses on high-urgency data, covering 100% of priority sources with ~12% energy consumption. The paper evaluates performance indicators such as coverage, energy usage, frequency of relay visits, and response timeliness using MATLAB simulations. Results demonstrate that the Coverage-Driven scenario excels in comprehensive monitoring, while the Priority-Driven scenario ensures energy-efficient, rapid responses to critical events. By combining BPL’s robust connectivity with UAV mobility, the proposed method enhances farm management, scalability, and adaptability, offering a practical solution for rural dairy herding operations to improve productivity and sustainability.

## Full-text entities

- **Diseases:** HERDING OPERATIONS (MESH:D010149)
- **Chemicals:** BPL (-)
- **Species:** Bos taurus (bovine, species) [taxon 9913], Homo sapiens (human, species) [taxon 9606]
- **Mutations:** A2G

## Full text

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## Figures

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## References

40 references — full list in the complete paper: https://tomesphere.com/paper/PMC12543189/full.md

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Source: https://tomesphere.com/paper/PMC12543189