eprintid: 3185
rev_number: 11
eprint_status: archive
userid: 291
dir: disk0/00/00/31/85
datestamp: 2018-12-07 03:37:52
lastmod: 2018-12-07 03:37:52
status_changed: 2018-12-07 03:37:52
type: conference_item
metadata_visibility: show
creators_name: Dinh, Thi Thai Mai
creators_name: Duong, Ngoc Son
creators_name: Trinh, Vu Tuan Anh
creators_id: dttmai@vnu.edu.vn
creators_id: duongson.vnu@gmail.com
creators_id: tuananhtv97@gmail.com
title: Bluetooth Low Energy based Indoor Positioning on iOS platform
ispublished: pub
subjects: Communications
subjects: ECE
subjects: ElectronicsandComputerEngineering
divisions: fac_fet
abstract: In this age of IoT (Internet of Things), Indoor
Positioning (IPS) is considered as one of the most popular topicsand has been researched widely all around the world, as the result of various applications it can provide. However, IPS is also a challenging topic that has a number of stringent requirements,such as cost, energy efficiency, availability and accuracy. The
development of Bluetooth Low Energy (BLE) iBeacon has opened great opportunities for researchers to solve those challenges. In this paper, we present our iBeacon based positioning system, which we built as an application running on iOS platform. We also present Fingerprinting − the main positioning technique used in our system, in which we configure its fingerprints to improve accuracy. With that, a machine learning algorithm called
k-Nearest Neighbor (kNN) is applied to extract the most probable user location. In addition, we also use Kalman Filter in order to enhance the stability of iBeacon’s signal. Our system results in a 60% − 71.4% accuracy rate and an error of up to 1.6 m, which is acceptable in IPS.
date: 2018-09-12
date_type: published
full_text_status: public
pres_type: paper
event_title: IEEE 12th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC-2018)
event_location: Hanoi city, Vietnam
event_dates: 12-14 September 2018
event_type: conference
refereed: TRUE
citation:   Dinh, Thi Thai Mai and Duong, Ngoc Son and Trinh, Vu Tuan Anh  (2018) Bluetooth Low Energy based Indoor Positioning on iOS platform.  In: IEEE 12th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC-2018), 12-14 September 2018, Hanoi city, Vietnam.     
document_url: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/3185/1/19072018%20BLE%20based%20IPS_editted%20%282%29.pdf