A Game Theory-Based Flight Strategy to Energy Efficient UAV-Femtocell Geolocation Systems

Unmanned aerial vehicle (UAV)-femtocell systems have been a paragon solution to the challenge of geolocating missing persons in civil protection (e.g., post-earthquake) scenarios. Bearing in mind the limited energy capacity on board a drone, it is extremely critical to provide advanced green UAV com...

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Bibliographic Details
Published in:IEEE transactions on aerospace and electronic systems 2024-12, Vol.60 (6), p.7903-7916
Main Authors: Avanzato, Roberta, Beritelli, Francesco, Raciti, Fabio, Spataro, Enrica
Format: Article
Language:English
Subjects:
Autonomous aerial vehicles
Drones
Energy efficiency
femtocell
game theory (GT)
Games
geolocation
Geology
Mobile handsets
mobile terminal identification
Monitoring
Nash equilibrium
unmanned aerial vehicle (UAV) flight strategy
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Summary:Unmanned aerial vehicle (UAV)-femtocell systems have been a paragon solution to the challenge of geolocating missing persons in civil protection (e.g., post-earthquake) scenarios. Bearing in mind the limited energy capacity on board a drone, it is extremely critical to provide advanced green UAV communication solutions in this particular application context. This article proposes a game theory-based energy efficiency approach to geolocation of mobile terminals via UAV-femtocell systems. In particular, this study introduces a statistical analysis of Nash equilibria by providing a simplified version of utility function and extending it to application scenarios characterized by nonisotropic propagation of radio-frequency signals. According to research findings, when considering the number of mobile devices in use, drones can save time and energy anywhere from 25% to 66%, if compared to alternative methods introduced in the literature.
ISSN:0018-9251
1557-9603
DOI:10.1109/TAES.2024.3427102