COLLABORATIVE Wi-Fi FINGERPRINTING INDOOR POSITIONING USING NEAR RELATION
Y. Wang,W. Wang,X. Li,W. Zhang,and R. Guo
Y. Wang
National Engineering Laboratory for Big Data System Computing Technology & Guangdong Key Laboratory of Urban Informatics & Shenzhen Key Laboratory of Spatial Smart Sensing and Services & Research Institute for Smart Cities, School of Architecture and Urban Planning, Shenzhen University, Shenzhen, P.R. China
W. Wang
National Engineering Laboratory for Big Data System Computing Technology & Guangdong Key Laboratory of Urban Informatics & Shenzhen Key Laboratory of Spatial Smart Sensing and Services & Research Institute for Smart Cities, School of Architecture and Urban Planning, Shenzhen University, Shenzhen, P.R. China
X. Li
National Engineering Laboratory for Big Data System Computing Technology & Guangdong Key Laboratory of Urban Informatics & Shenzhen Key Laboratory of Spatial Smart Sensing and Services & Research Institute for Smart Cities, School of Architecture and Urban Planning, Shenzhen University, Shenzhen, P.R. China
W. Zhang
National Engineering Laboratory for Big Data System Computing Technology & Guangdong Key Laboratory of Urban Informatics & Shenzhen Key Laboratory of Spatial Smart Sensing and Services & Research Institute for Smart Cities, School of Architecture and Urban Planning, Shenzhen University, Shenzhen, P.R. China
R. Guo
National Engineering Laboratory for Big Data System Computing Technology & Guangdong Key Laboratory of Urban Informatics & Shenzhen Key Laboratory of Spatial Smart Sensing and Services & Research Institute for Smart Cities, School of Architecture and Urban Planning, Shenzhen University, Shenzhen, P.R. China
Viewed
Total article views: 915 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
528
346
41
915
169
217
HTML: 528
PDF: 346
XML: 41
Total: 915
BibTeX: 169
EndNote: 217
Views and downloads (calculated since 25 Aug 2020)
Cumulative views and downloads
(calculated since 25 Aug 2020)
Viewed (geographical distribution)
Total article views: 880 (including HTML, PDF, and XML)
Thereof 879 with geography defined
and 1 with unknown origin.