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 paper 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 non-isotropic 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.
A Game Theory-based Flight Strategy to Energy Efficient UAV-Femtocell Geolocation Systems
AVANZATO R.;BERITELLI F.
;RACITI F.;SPATARO E.
2024-01-01
Abstract
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 paper 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 non-isotropic 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.File | Dimensione | Formato | |
---|---|---|---|
A_Game_Theory-based_Flight_Strategy_to_Energy_Efficient_UAV-Femtocell_Geolocation_Systems.pdf
solo gestori archivio
Tipologia:
Versione Editoriale (PDF)
Licenza:
NON PUBBLICO - Accesso privato/ristretto
Dimensione
810.62 kB
Formato
Adobe PDF
|
810.62 kB | Adobe PDF | Visualizza/Apri |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.