Fingerprinting-based dynamic RSS adjustment for time-variant indoor positioning systems

Bo An Chen; Po Hsuan Tseng; Kai Ten Feng; Tian Sheng Wang

doi:10.1109/ICCE-TW.2016.7521009

Fingerprinting-based dynamic RSS adjustment for time-variant indoor positioning systems

Bo An Chen
, Po Hsuan Tseng
, Kai Ten Feng
, Tian Sheng Wang

Department of Electronic Engineering

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

2 Scopus citations

Abstract

Fingerprinting is one of the most reliable technique for indoor positioning. The concept of the fingerprinting is to compare the offline received signal strength (RSS) database and online RSS measurement to find the most similar reference point to represent the user position. However, fingerprinting is sensitive to the environmental changes, where the offline database is required to be updated. In this paper, we discuss the offline and online measurement mismatch when the transmission power is altered by the Wi-Fi access point. We propose dynamic adjustment (DA) algorithm to reduce the influence caused by the power variation. Experimental results validate that the proposed DA algorithm maintains the positioning accuracy under the power adjustment.

Original language	English
Title of host publication	2016 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781509020737
DOIs	https://doi.org/10.1109/ICCE-TW.2016.7521009
State	Published - 25 Jul 2016
Event	3rd IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2016 - Nantou County, Taiwan Duration: 27 May 2016 → 30 May 2016

Publication series

Name	2016 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2016

Conference

Conference	3rd IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2016
Country/Territory	Taiwan
City	Nantou County
Period	27/05/16 → 30/05/16

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

Access to Document

10.1109/ICCE-TW.2016.7521009

Cite this

Chen, B. A., Tseng, P. H., Feng, K. T., & Wang, T. S. (2016). Fingerprinting-based dynamic RSS adjustment for time-variant indoor positioning systems. In 2016 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2016 Article 7521009 (2016 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCE-TW.2016.7521009

Chen, Bo An ; Tseng, Po Hsuan ; Feng, Kai Ten et al. / Fingerprinting-based dynamic RSS adjustment for time-variant indoor positioning systems. 2016 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2016. Institute of Electrical and Electronics Engineers Inc., 2016. (2016 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2016).

@inproceedings{e91d95e6b31945c49cb48ad7f71c7f7b,

title = "Fingerprinting-based dynamic RSS adjustment for time-variant indoor positioning systems",

abstract = "Fingerprinting is one of the most reliable technique for indoor positioning. The concept of the fingerprinting is to compare the offline received signal strength (RSS) database and online RSS measurement to find the most similar reference point to represent the user position. However, fingerprinting is sensitive to the environmental changes, where the offline database is required to be updated. In this paper, we discuss the offline and online measurement mismatch when the transmission power is altered by the Wi-Fi access point. We propose dynamic adjustment (DA) algorithm to reduce the influence caused by the power variation. Experimental results validate that the proposed DA algorithm maintains the positioning accuracy under the power adjustment.",

author = "Chen, \{Bo An\} and Tseng, \{Po Hsuan\} and Feng, \{Kai Ten\} and Wang, \{Tian Sheng\}",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 3rd IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2016 ; Conference date: 27-05-2016 Through 30-05-2016",

year = "2016",

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Chen, BA, Tseng, PH, Feng, KT & Wang, TS 2016, Fingerprinting-based dynamic RSS adjustment for time-variant indoor positioning systems. in 2016 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2016., 7521009, 2016 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2016, Institute of Electrical and Electronics Engineers Inc., 3rd IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2016, Nantou County, Taiwan, 27/05/16. https://doi.org/10.1109/ICCE-TW.2016.7521009

Fingerprinting-based dynamic RSS adjustment for time-variant indoor positioning systems. / Chen, Bo An; Tseng, Po Hsuan; Feng, Kai Ten et al.
2016 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2016. Institute of Electrical and Electronics Engineers Inc., 2016. 7521009 (2016 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2016).

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

TY - GEN

T1 - Fingerprinting-based dynamic RSS adjustment for time-variant indoor positioning systems

AU - Chen, Bo An

AU - Tseng, Po Hsuan

AU - Feng, Kai Ten

AU - Wang, Tian Sheng

PY - 2016/7/25

Y1 - 2016/7/25

N2 - Fingerprinting is one of the most reliable technique for indoor positioning. The concept of the fingerprinting is to compare the offline received signal strength (RSS) database and online RSS measurement to find the most similar reference point to represent the user position. However, fingerprinting is sensitive to the environmental changes, where the offline database is required to be updated. In this paper, we discuss the offline and online measurement mismatch when the transmission power is altered by the Wi-Fi access point. We propose dynamic adjustment (DA) algorithm to reduce the influence caused by the power variation. Experimental results validate that the proposed DA algorithm maintains the positioning accuracy under the power adjustment.

AB - Fingerprinting is one of the most reliable technique for indoor positioning. The concept of the fingerprinting is to compare the offline received signal strength (RSS) database and online RSS measurement to find the most similar reference point to represent the user position. However, fingerprinting is sensitive to the environmental changes, where the offline database is required to be updated. In this paper, we discuss the offline and online measurement mismatch when the transmission power is altered by the Wi-Fi access point. We propose dynamic adjustment (DA) algorithm to reduce the influence caused by the power variation. Experimental results validate that the proposed DA algorithm maintains the positioning accuracy under the power adjustment.

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T3 - 2016 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2016

BT - 2016 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2016

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 3rd IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2016

Y2 - 27 May 2016 through 30 May 2016

ER -

Chen BA, Tseng PH, Feng KT, Wang TS. Fingerprinting-based dynamic RSS adjustment for time-variant indoor positioning systems. In 2016 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2016. Institute of Electrical and Electronics Engineers Inc. 2016. 7521009. (2016 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2016). doi: 10.1109/ICCE-TW.2016.7521009

Fingerprinting-based dynamic RSS adjustment for time-variant indoor positioning systems

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