{"title":"Modeling of energy consumption in GPS receivers for power aware localization systems","authors":"C. Mandrioli, A. Leva, B. Bernhardsson, M. Maggio","doi":"10.1145/3302509.3311043","DOIUrl":null,"url":null,"abstract":"This paper proposes a first-principle model of GPS receivers, that allows us to exploit the trade-off between battery consumption and positioning accuracy. We present the model and propose a GPS sampling strategy that uses both the current positioning confidence, and information about the GPS status. We complement the GPS sensor with internal measurement units and show how the given model exposes the battery-accuracy trade-off in the context of sensor fusion. We demonstrate the usefulness of the proposed sampling strategy using both simulation and real data.","PeriodicalId":413733,"journal":{"name":"Proceedings of the 10th ACM/IEEE International Conference on Cyber-Physical Systems","volume":"69 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 10th ACM/IEEE International Conference on Cyber-Physical Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3302509.3311043","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This paper proposes a first-principle model of GPS receivers, that allows us to exploit the trade-off between battery consumption and positioning accuracy. We present the model and propose a GPS sampling strategy that uses both the current positioning confidence, and information about the GPS status. We complement the GPS sensor with internal measurement units and show how the given model exposes the battery-accuracy trade-off in the context of sensor fusion. We demonstrate the usefulness of the proposed sampling strategy using both simulation and real data.