Lately, UAV-Femtocell systems have been representing an innovative solution to the problem of geolocalization of mobile terminals in civil protection scenarios (e.g. post-earthquake search for missing persons). This paper proposes a new approach to geolocalization of mobile terminals based on the use of game theory, in particular the introduction of new utility functions that guarantee the Nash equilibrium. Through a series of simulations aimed at validating the proposed method the paper presents a comparison of time and energy savings achieved by drones with methods previously introduced in the literature. The research results indicate that based on the density of mobile terminals, on average, the savings range between 30% and 50%.

Energy Management optimization of UAV-Femtocell Geolocalization Systems based on Game Theory

Avanzato R.;Beritelli F.
;
Raciti F.;
2022-01-01

Abstract

Lately, UAV-Femtocell systems have been representing an innovative solution to the problem of geolocalization of mobile terminals in civil protection scenarios (e.g. post-earthquake search for missing persons). This paper proposes a new approach to geolocalization of mobile terminals based on the use of game theory, in particular the introduction of new utility functions that guarantee the Nash equilibrium. Through a series of simulations aimed at validating the proposed method the paper presents a comparison of time and energy savings achieved by drones with methods previously introduced in the literature. The research results indicate that based on the density of mobile terminals, on average, the savings range between 30% and 50%.
2022
979-8-3503-9645-4
Energy Efficiency
Femtocell
Game Theory
Localization Algorithm
Mobile Terminal
UAV Flight Strategy
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11769/548423
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