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

R. Avanzato, F. Beritelli, F. Raciti, Enrica Spataro
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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%.
基于博弈论的UAV-Femtocell定位系统能量管理优化
最近,UAV-Femtocell系统已成为解决民防场景(例如地震后寻找失踪人员)中移动终端地理定位问题的创新解决方案。本文提出了一种基于博弈论的移动终端地理定位新方法,特别是引入了新的保证纳什均衡的效用函数。通过一系列旨在验证所提出方法的模拟,本文提出了无人机与文献中先前介绍的方法所实现的时间和能源节约的比较。研究结果表明,基于移动终端的密度,平均节省在30%到50%之间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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