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Reducing the burden of data collection in a fingerprinting-based VLP system using a hybrid of improved co-training semi-supervised regression and adaptive boosting algorithms

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Abstract
The positioning accuracy of the visible light-based fingerprinting technique depends greatly on the number
of initially collected and labeled data points. The greater is the number of initial fingerprints collected,
the higher is the achieved accuracy of the system. However, collecting many labeled fingerprints while
simultaneously ensuring data reliability is quite time consuming. To increase the practicality and applicability
of fingerprinting-based algorithms, we combine the improved co-training semi-supervised regression and
adaptive boosting (Ada-XCoReg) algorithms. Ada-XCoReg is a combination of double-weighted k-nearest
neighbors, cross-correlation, and an adaptive boosting technique that increases the amount of input data and
enhances positioning accuracy based on randomly unlabeled data points. By applying the proposed solution to
the experimental model, we proved that our approach achieved a positioning accuracy of 6.14 cm, 5.29 cm,
and 2.51 cm when the numbers of initially-labeled fingerprints were 16, 25, and 49, respectively.
Author(s)
하철근huy Q. Tran
Issued Date
2021
Type
Article
Keyword
Visible light positioningSemi-supervised regressionAdaptive boostingFingerprinting
DOI
10.1016/j.optcom.2021.126857
URI
https://oak.ulsan.ac.kr/handle/2021.oak/9210
https://ulsan-primo.hosted.exlibrisgroup.com/primo-explore/fulldisplay?docid=TN_cdi_crossref_primary_10_1016_j_optcom_2021_126857&context=PC&vid=ULSAN&lang=ko_KR&search_scope=default_scope&adaptor=primo_central_multiple_fe&tab=default_tab&query=any,contains,Reducing%20the%20burden%20of%20data%20collection%20in%20a%20fingerprinting-based%20VLP%20system%20using%20a%20hybrid%20of%20improved%20co-training%20semi-supervised%20regression%20and%20adaptive%20boosting%20algorithms&offset=0&pcAvailability=true
Publisher
OPTICS COMMUNICATIONS
Location
네덜란드
Language
영어
ISSN
0030-4018
Citation Volume
488
Citation Number
1
Citation Start Page
126857
Citation End Page
126857
Appears in Collections:
Engineering > Aerospace Engineering
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