Flying Base Stations for Offshore Wind Farm Monitoring and Control: Holistic Performance Evaluation and Optimization
Xinyi Lin, Peizheng Li, and Adnan Aijaz

TL;DR
This paper explores the use of flying base stations for offshore wind farm monitoring, developing a comprehensive latency model and optimization framework to improve real-time communication and control in harsh environments.
Contribution
It introduces a holistic latency model and a multi-objective optimization framework for deploying flying base stations in offshore wind farms, addressing real-time monitoring challenges.
Findings
Effective latency minimization demonstrated through simulations
Outperforms baseline designs in efficiency and latency reduction
Applicable to large-scale offshore wind farm deployments
Abstract
Ensuring reliable and low-latency communication in offshore wind farms is critical for efficient monitoring and control, yet remains challenging due to the harsh environment and lack of infrastructure. This paper investigates a flying base station (FBS) approach for wide-area monitoring and control in the UK Hornsea offshore wind farm project. By leveraging mobile, flexible FBS platforms in the remote and harsh offshore environment, the proposed system offers real-time connectivity for turbines without the need for deploying permanent infrastructure at the sea. We develop a detailed and practical end-to-end latency model accounting for five key factors: flight duration, connection establishment, turbine state information upload, computational delay, and control transmission, to provide a holistic perspective often missing in prior studies. Furthermore, we combine trajectory planning,…
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Taxonomy
TopicsUAV Applications and Optimization · Underwater Vehicles and Communication Systems · Air Traffic Management and Optimization
