R. Avanzato, F. Beritelli, F. Raciti, Enrica Spataro
{"title":"Energy Management optimization of UAV-Femtocell Geolocalization Systems based on Game Theory","authors":"R. Avanzato, F. Beritelli, F. Raciti, Enrica Spataro","doi":"10.1109/IoTaIS56727.2022.9975897","DOIUrl":null,"url":null,"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%.","PeriodicalId":138894,"journal":{"name":"2022 IEEE International Conference on Internet of Things and Intelligence Systems (IoTaIS)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE International Conference on Internet of Things and Intelligence Systems (IoTaIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IoTaIS56727.2022.9975897","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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%.