Mobile localization-based service based on rssi fingerprinting method by BLE technology

Tsung Yu Tsai; Chen Chien Hsu; Hsin Han Chiang; Wei Yen Wang

doi:10.1109/ICCE-Berlin.2018.8576227

Mobile localization-based service based on rssi fingerprinting method by BLE technology

Tsung Yu Tsai, Chen Chien Hsu, Hsin Han Chiang, Wei Yen Wang

Department of Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

6 Citations (Scopus)

Abstract

Technologies of Indoor positioning are widely used in commercial applications in the modern society; among them, fingerprinting is the most utilized method. The main challenge in fingerprinting-based localization is the severe fluctuations of received signal strength (RSS). Due to the fluctuations, localization results are often unstable. Therefore, we propose to define membership functions based on the distribution of RSS with a technique of fuzzy logic; specifically, a fuzzy rule is defined with offline data. Finally, fingerprinting method can find out the localization efficiently. The result of experiment show that the new method is effective to increase the stability of localization.

Original language	English
Title of host publication	2018 IEEE 8th International Conference on Consumer Electronics - Berlin, ICCE-Berlin 2018
Publisher	IEEE Computer Society
ISBN (Electronic)	9781538660959
DOIs	https://doi.org/10.1109/ICCE-Berlin.2018.8576227
Publication status	Published - 2018 Dec 13
Event	8th IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin 2018 - Berlin, Germany Duration: 2018 Sept 2 → 2018 Sept 5

Publication series

Name	IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin
Volume	2018-September
ISSN (Print)	2166-6814
ISSN (Electronic)	2166-6822

Other

Other	8th IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin 2018
Country/Territory	Germany
City	Berlin
Period	2018/09/02 → 2018/09/05

Keywords

Bluetooth Low Energy
fingerprinting
fuzzy
localization

ASJC Scopus subject areas

Electrical and Electronic Engineering
Industrial and Manufacturing Engineering
Media Technology

Access to Document

10.1109/ICCE-Berlin.2018.8576227

Cite this

Tsai, T. Y., Hsu, C. C., Chiang, H. H., & Wang, W. Y. (2018). Mobile localization-based service based on rssi fingerprinting method by BLE technology. In 2018 IEEE 8th International Conference on Consumer Electronics - Berlin, ICCE-Berlin 2018 Article 8576227 (IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin; Vol. 2018-September). IEEE Computer Society. https://doi.org/10.1109/ICCE-Berlin.2018.8576227

Mobile localization-based service based on rssi fingerprinting method by BLE technology. / Tsai, Tsung Yu; Hsu, Chen Chien ; Chiang, Hsin Han et al.
2018 IEEE 8th International Conference on Consumer Electronics - Berlin, ICCE-Berlin 2018. IEEE Computer Society, 2018. 8576227 (IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin; Vol. 2018-September).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Tsai, TY, Hsu, CC , Chiang, HH & Wang, WY 2018, Mobile localization-based service based on rssi fingerprinting method by BLE technology. in 2018 IEEE 8th International Conference on Consumer Electronics - Berlin, ICCE-Berlin 2018., 8576227, IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin, vol. 2018-September, IEEE Computer Society, 8th IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin 2018, Berlin, Germany, 2018/09/02. https://doi.org/10.1109/ICCE-Berlin.2018.8576227

Tsai TY, Hsu CC , Chiang HH , Wang WY. Mobile localization-based service based on rssi fingerprinting method by BLE technology. In 2018 IEEE 8th International Conference on Consumer Electronics - Berlin, ICCE-Berlin 2018. IEEE Computer Society. 2018. 8576227. (IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin). doi: 10.1109/ICCE-Berlin.2018.8576227

@inproceedings{8d371d3f9d184226aff923da2f0b2251,

title = "Mobile localization-based service based on rssi fingerprinting method by BLE technology",

abstract = "Technologies of Indoor positioning are widely used in commercial applications in the modern society; among them, fingerprinting is the most utilized method. The main challenge in fingerprinting-based localization is the severe fluctuations of received signal strength (RSS). Due to the fluctuations, localization results are often unstable. Therefore, we propose to define membership functions based on the distribution of RSS with a technique of fuzzy logic; specifically, a fuzzy rule is defined with offline data. Finally, fingerprinting method can find out the localization efficiently. The result of experiment show that the new method is effective to increase the stability of localization.",

keywords = "Bluetooth Low Energy, fingerprinting, fuzzy, localization",

author = "Tsai, {Tsung Yu} and Hsu, {Chen Chien} and Chiang, {Hsin Han} and Wang, {Wei Yen}",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 8th IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin 2018 ; Conference date: 02-09-2018 Through 05-09-2018",

year = "2018",

month = dec,

day = "13",

doi = "10.1109/ICCE-Berlin.2018.8576227",

language = "English",

series = "IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin",

publisher = "IEEE Computer Society",

booktitle = "2018 IEEE 8th International Conference on Consumer Electronics - Berlin, ICCE-Berlin 2018",

}

TY - GEN

T1 - Mobile localization-based service based on rssi fingerprinting method by BLE technology

AU - Tsai, Tsung Yu

AU - Hsu, Chen Chien

AU - Chiang, Hsin Han

AU - Wang, Wei Yen

PY - 2018/12/13

Y1 - 2018/12/13

N2 - Technologies of Indoor positioning are widely used in commercial applications in the modern society; among them, fingerprinting is the most utilized method. The main challenge in fingerprinting-based localization is the severe fluctuations of received signal strength (RSS). Due to the fluctuations, localization results are often unstable. Therefore, we propose to define membership functions based on the distribution of RSS with a technique of fuzzy logic; specifically, a fuzzy rule is defined with offline data. Finally, fingerprinting method can find out the localization efficiently. The result of experiment show that the new method is effective to increase the stability of localization.

AB - Technologies of Indoor positioning are widely used in commercial applications in the modern society; among them, fingerprinting is the most utilized method. The main challenge in fingerprinting-based localization is the severe fluctuations of received signal strength (RSS). Due to the fluctuations, localization results are often unstable. Therefore, we propose to define membership functions based on the distribution of RSS with a technique of fuzzy logic; specifically, a fuzzy rule is defined with offline data. Finally, fingerprinting method can find out the localization efficiently. The result of experiment show that the new method is effective to increase the stability of localization.

KW - Bluetooth Low Energy

KW - fingerprinting

KW - fuzzy

KW - localization

UR - http://www.scopus.com/inward/record.url?scp=85060295200&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85060295200&partnerID=8YFLogxK

U2 - 10.1109/ICCE-Berlin.2018.8576227

DO - 10.1109/ICCE-Berlin.2018.8576227

M3 - Conference contribution

AN - SCOPUS:85060295200

T3 - IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin

BT - 2018 IEEE 8th International Conference on Consumer Electronics - Berlin, ICCE-Berlin 2018

PB - IEEE Computer Society

T2 - 8th IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin 2018

Y2 - 2 September 2018 through 5 September 2018

ER -

Mobile localization-based service based on rssi fingerprinting method by BLE technology

Abstract

Publication series

Other

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this