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: 1,088 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
615
418
55
1,088
186
234
HTML: 615
PDF: 418
XML: 55
Total: 1,088
BibTeX: 186
EndNote: 234
Views and downloads (calculated since 25 Aug 2020)
Cumulative views and downloads
(calculated since 25 Aug 2020)
Viewed (geographical distribution)
Total article views: 1,056 (including HTML, PDF, and XML)
Thereof 1,055 with geography defined
and 1 with unknown origin.