eprintid: 3923
rev_number: 16
eprint_status: archive
userid: 14
dir: disk0/00/00/39/23
datestamp: 2020-01-31 08:01:34
lastmod: 2020-01-31 08:01:34
status_changed: 2020-01-31 08:01:34
type: article
metadata_visibility: show
creators_name: Ta, Viet Cuong
creators_name: Dao, Trung Kien
creators_name: Vaufreydaz, Dominique
creators_name: Castelli, Eric
creators_id: cuongtv@vnu.edu.vn
title: Collaborative Smartphone-Based User Positioning in a Multiple-User Context Using Wireless Technologies
ispublished: pub
subjects: IT
subjects: isi
divisions: fac_fit
abstract: For  the  localization  of  multiple  users,  Bluetooth  data  from  the  smartphone  is  able  to 
complement Wi‐Fi‐based methods with additional information, by providing an approximation of 
the relative distances between users. In practice, both positions provided by Wi‐Fi data and relative 
distance provided by Bluetooth data are subject to a certain degree of noise due to the uncertainty 
of radio propagation in complex indoor environments. In this study, we propose and evaluate two 
approaches,  namely  Non‐temporal  and  Temporal  ones,  of  collaborative  positioning  to  combine 
these  two  cohabiting  technologies  to  improve  the  tracking  performance.  In  the  Non‐temporal 
approach, our model establishes an error observation function in a specific interval of the Bluetooth 
and Wi‐Fi output. It is then able to reduce the positioning error by looking for ways to minimize the 
error function. The Temporal approach employs an extended error model that takes into account 
the  time  component  between  users’  movements.  For  performance  evaluation,  several  multi‐user 
scenarios in an indoor environment are set up. Results show that for certain scenarios, the proposed 
approaches attain over 40% of improvement in terms of average accuracy
date: 2020-01-10
date_type: published
publisher: MDPI
official_url: https://www.mdpi.com/1424-8220/20/2/405
id_number: doi:10.3390/s20020405
contact_email: cuongtv@vnu.edu.vn
full_text_status: public
publication: Sensors
volume: 20
number: 2
refereed: FALSE
issn: 1424-8220
related_url_url: https://doi.org/10.3390/s20020405
citation:   Ta, Viet Cuong and Dao, Trung Kien and Vaufreydaz, Dominique and Castelli, Eric  (2020) Collaborative Smartphone-Based User Positioning in a Multiple-User Context Using Wireless Technologies.  Sensors, 20  (2).    ISSN 1424-8220     
document_url: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/3923/1/sensors-20-00405.pdf