2021 5th International Conference on Internet of Things and Applications (IoT)最新文献

筛选
英文 中文
Improving Multi-floor WiFi-based Indoor positioning systems by Fingerprint grouping 基于指纹分组的多层wifi室内定位系统改进
2021 5th International Conference on Internet of Things and Applications (IoT) Pub Date : 2021-05-19 DOI: 10.1109/IoT52625.2021.9469602
Komeil Shah Hosseini, Mohammad Hadi Azaddel, M. A. Nourian, A. A. Azirani
{"title":"Improving Multi-floor WiFi-based Indoor positioning systems by Fingerprint grouping","authors":"Komeil Shah Hosseini, Mohammad Hadi Azaddel, M. A. Nourian, A. A. Azirani","doi":"10.1109/IoT52625.2021.9469602","DOIUrl":"https://doi.org/10.1109/IoT52625.2021.9469602","url":null,"abstract":"Indoor localization has an important role in different applications of Internet of Things (IoT). Wi-Fi fingerprinting indoor positioning systems (IPSs) have drawn a lot of attention due to their low Cap-Ex, but these systems suffer severe signal fluctuations which lead to accuracy reduction. In this paper Fingerprint (FP) grouping method is presented to improve Wi-Fi fingerprinting IPSs in multi-floor buildings. The proposed method consists of three sub-schemes. In each sub-scheme, FPs are grouped based on a different parameter, then in the online phase, the positioning algorithm is confined to specific FP groups determined by the method. Using this method, FPs which could reduce accuracy are filtered, and positioning is done on a subset of FP-database. In the first sub-scheme, FPs are grouped based on the received signal strength of Access Points (APs). In the second sub-scheme, FP grouping is performed based on the last estimated location of the user. Using the map-constrained graph, which is matched to the environment map, is the third sub-scheme. Not only these methods have improved the accuracy but also decreased the execution time spent in the positioning algorithm. The results of the practical tests indicate accuracy improvement of 6%, 47%, and 67% for each of the sub-schemes respectively and execution time reduction of 1.5 to 10 times.","PeriodicalId":192646,"journal":{"name":"2021 5th International Conference on Internet of Things and Applications (IoT)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129247844","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 7
IoT 2021 Cover Page 物联网2021封面
2021 5th International Conference on Internet of Things and Applications (IoT) Pub Date : 1900-01-01 DOI: 10.1109/iot52625.2021.9469721
{"title":"IoT 2021 Cover Page","authors":"","doi":"10.1109/iot52625.2021.9469721","DOIUrl":"https://doi.org/10.1109/iot52625.2021.9469721","url":null,"abstract":"","PeriodicalId":192646,"journal":{"name":"2021 5th International Conference on Internet of Things and Applications (IoT)","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124118771","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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×
相关产品
×
本文献相关产品
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
小红书