Energy-efficient and accurate fingerprinting-based localization system for smartphones

G. Aloi, Giuseppe Caliciuri, V. Loscrí, P. Pace
{"title":"Energy-efficient and accurate fingerprinting-based localization system for smartphones","authors":"G. Aloi, Giuseppe Caliciuri, V. Loscrí, P. Pace","doi":"10.1109/OnlineGreenCom.2013.6731022","DOIUrl":null,"url":null,"abstract":"New location-aware smartphones applications making use of positioning information, are recently gaining an increasing diffusion although the same accuracy provided by those classical solutions, based on the well known GPS technology, is progressively reached by adopting new or revised less power-hungry communication technologies. Starting from this general framework and taking into account the novel green communication paradigm, the paper a cost-effective and energy-efficient localization architecture based on the improvement of classical cell-tower schemes coupled with a dynamic fingerprinting update phase in order to face the natural changes in the radio environments. The proposed system architecture has been implemented and tested in a real scenario to measure the performances in terms of accuracy and energy saving that will make it preferable to the traditional GPS-based systems in the next future. The obtained results show the effectiveness of the considered approach that makes possible to estimate the current position of a mobile user with a very small error (≈ 20m) also achieving an energy consumption reduction of about 38% respect to the classical GPS solutions.","PeriodicalId":152857,"journal":{"name":"2013 IEEE Online Conference on Green Communications (OnlineGreenComm)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE Online Conference on Green Communications (OnlineGreenComm)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/OnlineGreenCom.2013.6731022","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

New location-aware smartphones applications making use of positioning information, are recently gaining an increasing diffusion although the same accuracy provided by those classical solutions, based on the well known GPS technology, is progressively reached by adopting new or revised less power-hungry communication technologies. Starting from this general framework and taking into account the novel green communication paradigm, the paper a cost-effective and energy-efficient localization architecture based on the improvement of classical cell-tower schemes coupled with a dynamic fingerprinting update phase in order to face the natural changes in the radio environments. The proposed system architecture has been implemented and tested in a real scenario to measure the performances in terms of accuracy and energy saving that will make it preferable to the traditional GPS-based systems in the next future. The obtained results show the effectiveness of the considered approach that makes possible to estimate the current position of a mobile user with a very small error (≈ 20m) also achieving an energy consumption reduction of about 38% respect to the classical GPS solutions.
智能手机节能准确的指纹定位系统
利用定位信息的新的位置感知智能手机应用程序最近越来越普及,尽管基于众所周知的GPS技术的那些经典解决方案所提供的精度相同,但通过采用新的或修订的更低功耗的通信技术逐渐达到。从这一总体框架出发,考虑到新的绿色通信范式,本文在改进经典基站方案的基础上,结合动态指纹更新阶段,提出了一种经济高效的定位体系结构,以应对无线电环境的自然变化。所提出的系统架构已在实际场景中实现和测试,以衡量其在精度和节能方面的性能,这将使其在未来优于传统的基于gps的系统。所获得的结果表明了所考虑的方法的有效性,使得以非常小的误差(≈20m)估计移动用户的当前位置成为可能,并且相对于传统的GPS解决方案实现了约38%的能耗降低。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信