Localization of a Mobile Node Using Fingerprinting in an Indoor Environment

Sohaib Bin Altaf Khattak; Min Jia; Mir Yasir Umair; Attiq Ahmed

doi:10.1007/978-981-13-6504-1_129

Localization of a Mobile Node Using Fingerprinting in an Indoor Environment

Sohaib Bin Altaf Khattak
, Min Jia^*
, Mir Yasir Umair
, Attiq Ahmed

^*Corresponding author for this work

School of Electronics and Information Engineering, Harbin Institute of Technology
National University of Sciences and Technology Pakistan

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

2 Scopus citations

Abstract

Localization is an important requirement in today’s world, and numerous modern applications require location tracking. An indoor localization of a mobile node using the range-free fingerprinting technique in WLAN environment is presented. The work focuses on improvement in the accuracy of localization using some additional parameters in the fingerprint, along with the conventional received signal strength (RSS). ToA has been used to enrich the fingerprint data for more unique fingerprints. The impact of AP placement on localization accuracy is also addressed. In this paper, a technique is proposed that is not complex to implement using existing infrastructure and is also easy to understand. Significant improvement has been achieved from about 20 to 40% in different scenarios including line of sight and non-light of sight scenarios, small and large areas.

Original language	English
Title of host publication	Communications, Signal Processing, and Systems - Proceedings of the 2018 CSPS Volume II
Subtitle of host publication	Signal Processing
Editors	Qilian Liang, Xin Liu, Zhenyu Na, Wei Wang, Jiasong Mu, Baoju Zhang
Publisher	Springer Verlag
Pages	1080-1090
Number of pages	11
ISBN (Print)	9789811365034
DOIs	https://doi.org/10.1007/978-981-13-6504-1_129
State	Published - 2020
Externally published	Yes
Event	International Conference on Communications, Signal Processing, and Systems, CSPS 2018 - Dalian, China Duration: 14 Jul 2018 → 16 Jul 2018

Publication series

Name	Lecture Notes in Electrical Engineering
Volume	516
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Conference

Conference	International Conference on Communications, Signal Processing, and Systems, CSPS 2018
Country/Territory	China
City	Dalian
Period	14/07/18 → 16/07/18

Keywords

Indoor localization
LBS for IoT
WLAN AP placement

Access to Document

10.1007/978-981-13-6504-1_129

Cite this

Khattak, S. B. A., Jia, M., Umair, M. Y., & Ahmed, A. (2020). Localization of a Mobile Node Using Fingerprinting in an Indoor Environment. In Q. Liang, X. Liu, Z. Na, W. Wang, J. Mu, & B. Zhang (Eds.), Communications, Signal Processing, and Systems - Proceedings of the 2018 CSPS Volume II: Signal Processing (pp. 1080-1090). (Lecture Notes in Electrical Engineering; Vol. 516). Springer Verlag. https://doi.org/10.1007/978-981-13-6504-1_129

Khattak, Sohaib Bin Altaf ; Jia, Min ; Umair, Mir Yasir et al. / Localization of a Mobile Node Using Fingerprinting in an Indoor Environment. Communications, Signal Processing, and Systems - Proceedings of the 2018 CSPS Volume II: Signal Processing. editor / Qilian Liang ; Xin Liu ; Zhenyu Na ; Wei Wang ; Jiasong Mu ; Baoju Zhang. Springer Verlag, 2020. pp. 1080-1090 (Lecture Notes in Electrical Engineering).

@inproceedings{c5b328c77b10406baf20e358fdb08c74,

title = "Localization of a Mobile Node Using Fingerprinting in an Indoor Environment",

abstract = "Localization is an important requirement in today{\textquoteright}s world, and numerous modern applications require location tracking. An indoor localization of a mobile node using the range-free fingerprinting technique in WLAN environment is presented. The work focuses on improvement in the accuracy of localization using some additional parameters in the fingerprint, along with the conventional received signal strength (RSS). ToA has been used to enrich the fingerprint data for more unique fingerprints. The impact of AP placement on localization accuracy is also addressed. In this paper, a technique is proposed that is not complex to implement using existing infrastructure and is also easy to understand. Significant improvement has been achieved from about 20 to 40\% in different scenarios including line of sight and non-light of sight scenarios, small and large areas.",

keywords = "Indoor localization, LBS for IoT, WLAN AP placement",

author = "Khattak, \{Sohaib Bin Altaf\} and Min Jia and Umair, \{Mir Yasir\} and Attiq Ahmed",

note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Singapore Pte Ltd.; International Conference on Communications, Signal Processing, and Systems, CSPS 2018 ; Conference date: 14-07-2018 Through 16-07-2018",

year = "2020",

doi = "10.1007/978-981-13-6504-1\_129",

language = "英语",

isbn = "9789811365034",

series = "Lecture Notes in Electrical Engineering",

publisher = "Springer Verlag",

pages = "1080--1090",

editor = "Qilian Liang and Xin Liu and Zhenyu Na and Wei Wang and Jiasong Mu and Baoju Zhang",

booktitle = "Communications, Signal Processing, and Systems - Proceedings of the 2018 CSPS Volume II",

address = "德国",

}

Khattak, SBA, Jia, M, Umair, MY & Ahmed, A 2020, Localization of a Mobile Node Using Fingerprinting in an Indoor Environment. in Q Liang, X Liu, Z Na, W Wang, J Mu & B Zhang (eds), Communications, Signal Processing, and Systems - Proceedings of the 2018 CSPS Volume II: Signal Processing. Lecture Notes in Electrical Engineering, vol. 516, Springer Verlag, pp. 1080-1090, International Conference on Communications, Signal Processing, and Systems, CSPS 2018, Dalian, China, 14/07/18. https://doi.org/10.1007/978-981-13-6504-1_129

Localization of a Mobile Node Using Fingerprinting in an Indoor Environment. / Khattak, Sohaib Bin Altaf; Jia, Min; Umair, Mir Yasir et al.
Communications, Signal Processing, and Systems - Proceedings of the 2018 CSPS Volume II: Signal Processing. ed. / Qilian Liang; Xin Liu; Zhenyu Na; Wei Wang; Jiasong Mu; Baoju Zhang. Springer Verlag, 2020. p. 1080-1090 (Lecture Notes in Electrical Engineering; Vol. 516).

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

TY - GEN

T1 - Localization of a Mobile Node Using Fingerprinting in an Indoor Environment

AU - Khattak, Sohaib Bin Altaf

AU - Jia, Min

AU - Umair, Mir Yasir

AU - Ahmed, Attiq

PY - 2020

Y1 - 2020

N2 - Localization is an important requirement in today’s world, and numerous modern applications require location tracking. An indoor localization of a mobile node using the range-free fingerprinting technique in WLAN environment is presented. The work focuses on improvement in the accuracy of localization using some additional parameters in the fingerprint, along with the conventional received signal strength (RSS). ToA has been used to enrich the fingerprint data for more unique fingerprints. The impact of AP placement on localization accuracy is also addressed. In this paper, a technique is proposed that is not complex to implement using existing infrastructure and is also easy to understand. Significant improvement has been achieved from about 20 to 40% in different scenarios including line of sight and non-light of sight scenarios, small and large areas.

AB - Localization is an important requirement in today’s world, and numerous modern applications require location tracking. An indoor localization of a mobile node using the range-free fingerprinting technique in WLAN environment is presented. The work focuses on improvement in the accuracy of localization using some additional parameters in the fingerprint, along with the conventional received signal strength (RSS). ToA has been used to enrich the fingerprint data for more unique fingerprints. The impact of AP placement on localization accuracy is also addressed. In this paper, a technique is proposed that is not complex to implement using existing infrastructure and is also easy to understand. Significant improvement has been achieved from about 20 to 40% in different scenarios including line of sight and non-light of sight scenarios, small and large areas.

KW - Indoor localization

KW - LBS for IoT

KW - WLAN AP placement

UR - https://www.scopus.com/pages/publications/85071439294

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DO - 10.1007/978-981-13-6504-1_129

M3 - 会议稿件

AN - SCOPUS:85071439294

SN - 9789811365034

T3 - Lecture Notes in Electrical Engineering

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EP - 1090

BT - Communications, Signal Processing, and Systems - Proceedings of the 2018 CSPS Volume II

A2 - Liang, Qilian

A2 - Liu, Xin

A2 - Na, Zhenyu

A2 - Wang, Wei

A2 - Mu, Jiasong

A2 - Zhang, Baoju

PB - Springer Verlag

T2 - International Conference on Communications, Signal Processing, and Systems, CSPS 2018

Y2 - 14 July 2018 through 16 July 2018

ER -

Khattak SBA, Jia M, Umair MY, Ahmed A. Localization of a Mobile Node Using Fingerprinting in an Indoor Environment. In Liang Q, Liu X, Na Z, Wang W, Mu J, Zhang B, editors, Communications, Signal Processing, and Systems - Proceedings of the 2018 CSPS Volume II: Signal Processing. Springer Verlag. 2020. p. 1080-1090. (Lecture Notes in Electrical Engineering). doi: 10.1007/978-981-13-6504-1_129

Localization of a Mobile Node Using Fingerprinting in an Indoor Environment

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Keywords

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