Please use this identifier to cite or link to this item: https://doi.org/10.1109/JIOT.2019.2944929
DC FieldValue
dc.titleEfficient and Scalable Calibration-Free Indoor Positioning Using Crowdsourced Data
dc.contributor.authorYonghao Zhao
dc.contributor.authorWONG WAI CHOONG,LAWRENCE
dc.contributor.authorTianyi Feng
dc.contributor.authorGARG, HARI KRISHNA
dc.date.accessioned2021-01-05T03:09:00Z
dc.date.available2021-01-05T03:09:00Z
dc.date.issued2019-10-01
dc.identifier.citationYonghao Zhao, WONG WAI CHOONG,LAWRENCE, Tianyi Feng, GARG, HARI KRISHNA (2019-10-01). Efficient and Scalable Calibration-Free Indoor Positioning Using Crowdsourced Data. IEEE Internet of Things Journal 7 (1) : 160-175. ScholarBank@NUS Repository. https://doi.org/10.1109/JIOT.2019.2944929
dc.identifier.issn2327-4662
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/185305
dc.typeArticle
dc.contributor.departmentELECTRICAL AND COMPUTER ENGINEERING
dc.description.doi10.1109/JIOT.2019.2944929
dc.description.sourcetitleIEEE Internet of Things Journal
dc.description.volume7
dc.description.issue1
dc.description.page160-175
dc.published.statePublished
Appears in Collections:Staff Publications
Elements
Students Publications

Show simple item record
Files in This Item:
File Description SizeFormatAccess SettingsVersion 
Efficient and Scalable Calibration-free Indoor.pdf9.84 MBAdobe PDF

OPEN

Post-printView/Download

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.