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

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.

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Publication Details

Journal
PLoS ONE
Published
2025-10-22
DOI
https://doi.org/10.1371/journal.pone.0334888
Primary Topic
UAV Applications and Optimization
Type
article
Field-Weighted Citation Impact
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article

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

Bashir Olaniyi Sadiq, Yusuf A. Sha’aban, Houssem R. E. H. Bouchekara, Khalid Almutairi et al.
PLoS ONE
UAV Applications and Optimization
article

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

Bashir Olaniyi Sadiq, Yusuf A. Sha’aban, Houssem R. E. H. Bouchekara, Khalid Almutairi, Motirh Al-Mutairi
article en

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.

PLoS ONEVol. 20(10)
Princess Nourah bint Abdulrahman University (SA), Ahmadu Bello University (NG), Kampala International University (UG), University of Hafr Al-Batin (SA), Embry–Riddle Aeronautical University (US)
Openalex Percentile: Top 59%
UAV Applications and Optimization
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