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About this paper
Priyavrat Dev Sharma, Ibrahim Sorkhoh, Muthucumaru Maheswaran
A framework optimizes collaborative Unmanned Aerial Vehicle (UAV) networks for efficient multi-hop, multi-source to multi-destination data sharing in IoT environments, achieving up to 99% computation speedup over optimal solutions with an average 25.94% deviation, and showing that larger UAV networks improve energy efficiency.
Key insights
- The complex problem of optimizing collaborative UAV data transfer is NP-hard, necessitating efficient heuristic algorithms for practical deployment.
- Larger, denser collaborative UAV networks inherently offer improved energy efficiency for data gathering due to better load distribution and diverse routing options.
- Optimizing packet size and leveraging higher bandwidth are crucial for minimizing energy consumption in UAV data transmission, as energy usage increases exponentially with packet size.
Summary by alphaXiv.
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