别再躲了!WALDO:使用Wi-Fi机会主义方法轻松定位

B. Silva, J. C. D. Lima, Celio Trois, W. B. Pereira, C. C. Rocha
{"title":"别再躲了!WALDO:使用Wi-Fi机会主义方法轻松定位","authors":"B. Silva, J. C. D. Lima, Celio Trois, W. B. Pereira, C. C. Rocha","doi":"10.5220/0007677505710578","DOIUrl":null,"url":null,"abstract":"The popularization of mobile devices and increasing the number of sensors and embedded resources boosted a large amount of research in the area of context-aware. Among the most relevant contextual information is the location. In outdoor environments, the GPS technology is already widespread and used. However, the people tend to spend most of their time indoors, such as universities, hospitals, malls, and supermarkets, where the GPS location is compromised. Several approaches using mainly radio frequency technologies have been proposed to solve the problem of indoor location. So far, no widely accepted solution solves the problem of location indoors. In this way, this work to use an opportunistic approach, making use of the Wi-Fi infrastructure available in the environment, to provide the location of mobile stations. Based on this objective, the WALDO architecture was developed that unites the characteristics of different approaches of the works that have been produced in recent years, taking into account the techniques that present better results at each stage, in conjunction with a zone-based approach and ranking, on phase online of the fingerprint technique, which makes ignoring RSS readings that present noises.","PeriodicalId":271024,"journal":{"name":"International Conference on Enterprise Information Systems","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"No More Hiding! WALDO: Easily Locating with a Wi-Fi Opportunistic Approach\",\"authors\":\"B. Silva, J. C. D. Lima, Celio Trois, W. B. Pereira, C. C. Rocha\",\"doi\":\"10.5220/0007677505710578\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The popularization of mobile devices and increasing the number of sensors and embedded resources boosted a large amount of research in the area of context-aware. Among the most relevant contextual information is the location. In outdoor environments, the GPS technology is already widespread and used. However, the people tend to spend most of their time indoors, such as universities, hospitals, malls, and supermarkets, where the GPS location is compromised. Several approaches using mainly radio frequency technologies have been proposed to solve the problem of indoor location. So far, no widely accepted solution solves the problem of location indoors. In this way, this work to use an opportunistic approach, making use of the Wi-Fi infrastructure available in the environment, to provide the location of mobile stations. Based on this objective, the WALDO architecture was developed that unites the characteristics of different approaches of the works that have been produced in recent years, taking into account the techniques that present better results at each stage, in conjunction with a zone-based approach and ranking, on phase online of the fingerprint technique, which makes ignoring RSS readings that present noises.\",\"PeriodicalId\":271024,\"journal\":{\"name\":\"International Conference on Enterprise Information Systems\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-05-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Enterprise Information Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5220/0007677505710578\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Enterprise Information Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5220/0007677505710578","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

移动设备的普及以及传感器和嵌入式资源数量的增加推动了上下文感知领域的大量研究。位置是最相关的上下文信息之一。在户外环境中,GPS技术已经得到了广泛的应用。然而,人们往往在室内度过大部分时间,如大学、医院、商场和超市,在这些地方,GPS位置会受到影响。已经提出了几种主要使用射频技术的方法来解决室内定位问题。到目前为止,还没有一个被广泛接受的解决方案可以解决室内定位问题。通过这种方式,这项工作使用了一种机会主义的方法,利用环境中可用的Wi-Fi基础设施,提供移动站的位置。基于这一目标,开发了WALDO架构,将近年来产生的作品的不同方法的特征结合起来,考虑到在每个阶段呈现更好结果的技术,结合基于区域的方法和排名,指纹技术的在线阶段,这使得忽略了呈现噪音的RSS读数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
No More Hiding! WALDO: Easily Locating with a Wi-Fi Opportunistic Approach
The popularization of mobile devices and increasing the number of sensors and embedded resources boosted a large amount of research in the area of context-aware. Among the most relevant contextual information is the location. In outdoor environments, the GPS technology is already widespread and used. However, the people tend to spend most of their time indoors, such as universities, hospitals, malls, and supermarkets, where the GPS location is compromised. Several approaches using mainly radio frequency technologies have been proposed to solve the problem of indoor location. So far, no widely accepted solution solves the problem of location indoors. In this way, this work to use an opportunistic approach, making use of the Wi-Fi infrastructure available in the environment, to provide the location of mobile stations. Based on this objective, the WALDO architecture was developed that unites the characteristics of different approaches of the works that have been produced in recent years, taking into account the techniques that present better results at each stage, in conjunction with a zone-based approach and ranking, on phase online of the fingerprint technique, which makes ignoring RSS readings that present noises.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
CrudeBERT: Applying Economic Theory towards fine-tuning Transformer-based Sentiment Analysis Models to the Crude Oil Market A Next-Generation Digital Procurement Workspace Focusing on Information Integration, Automation, Analytics, and Sustainability An Applied Risk Identification Approach in the ICT Governance and Management Macroprocesses of a Brazilian Federal Government Agency Towards Unlocking the Potential of the Internet of Things for the Skilled Crafts An Open Platform for Smart Production: IT/OT Integration in a Smart Factory
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1