Abstract | ||
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Indoor localization has become an essential demand driven by indoor location-based services (ILBSs) for mobile users. With the rising of Internet of Things (IoT), heterogeneous smartphones and wearables have become ubiquitous. However, the ILBSs for heterogeneous IoT devices confront significant challenges, such as received signal strength (RSS) variances caused by hardware heterogeneity, multipat... |
Year | DOI | Venue |
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2022 | 10.1109/JIOT.2021.3101368 | IEEE Internet of Things Journal |
Keywords | DocType | Volume |
Location awareness,Wireless fidelity,Real-time systems,Computational modeling,Feature extraction,Internet of Things,Data models | Journal | 9 |
Issue | ISSN | Citations |
5 | 2327-4662 | 1 |
PageRank | References | Authors |
0.35 | 24 | 7 |
Name | Order | Citations | PageRank |
---|---|---|---|
Qianwen Ye | 1 | 5 | 1.45 |
Hongxia Bie | 2 | 11 | 7.67 |
Kuan-ching Li | 3 | 933 | 122.44 |
Xiaochen Fan | 4 | 15 | 4.95 |
Liangyi Gong | 5 | 38 | 14.57 |
Xiangjian He | 6 | 932 | 132.03 |
Gengfa Fang | 7 | 128 | 24.24 |