Smartphone-based collaborative and autonomous radio fingerprinting

Yungeun Kim; Yohan Chon; Hojung Cha

doi:10.1109/TSMCC.2010.2093516

Smartphone-based collaborative and autonomous radio fingerprinting

Yungeun Kim, Yohan Chon, Hojung Cha

College of Computing

Research output: Contribution to journal › Article › peer-review

120 Citations (Scopus)

Abstract

Although active research has recently been conducted on received signal strength (RSS) fingerprint-based indoor localization, most of the current systems hardly overcome the costly and time-consuming offline training phase. In this paper, we propose an autonomous and collaborative RSS fingerprint collection and localization system. Mobile users track their position with inertial sensors and measure RSS from the surrounding access points. In this scenario, anonymous mobile users automatically collect data in daily life without purposefully surveying an entire building. The server progressively builds up a precise radio map as more users interact with their fingerprint data. The time drift error of inertial sensors is also compromised at run-time with the fingerprint-based localization, which runs with the collective fingerprints being currently built by the server. The proposed system has been implemented on a recent Android smartphone. The experiment results show that reasonable location accuracy is obtained with automatic fingerprinting in indoor environments.

Original language	English
Article number	5675696
Pages (from-to)	112-122
Number of pages	11
Journal	IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews
Volume	42
Issue number	1
DOIs	https://doi.org/10.1109/TSMCC.2010.2093516
Publication status	Published - 2012 Jan

Bibliographical note

Funding Information:
Manuscript received July 23, 2010; revised October 28 2010; accepted November 10 2010. Date of publication December 23, 2010; date of current version December 16, 2011. This work was supported by the National Research Foundation of Korea under Grant 2010-0000405, funded by the Ministry of Education, Science, and Technology of the Korean government. This paper was recommended by Associate Editor L. B. Sheremetov.

All Science Journal Classification (ASJC) codes

Control and Systems Engineering
Software
Information Systems
Human-Computer Interaction
Computer Science Applications
Electrical and Electronic Engineering

Access to Document

10.1109/TSMCC.2010.2093516

Cite this

@article{463f4f3658d042afb18aba5f9a2b5600,

title = "Smartphone-based collaborative and autonomous radio fingerprinting",

abstract = "Although active research has recently been conducted on received signal strength (RSS) fingerprint-based indoor localization, most of the current systems hardly overcome the costly and time-consuming offline training phase. In this paper, we propose an autonomous and collaborative RSS fingerprint collection and localization system. Mobile users track their position with inertial sensors and measure RSS from the surrounding access points. In this scenario, anonymous mobile users automatically collect data in daily life without purposefully surveying an entire building. The server progressively builds up a precise radio map as more users interact with their fingerprint data. The time drift error of inertial sensors is also compromised at run-time with the fingerprint-based localization, which runs with the collective fingerprints being currently built by the server. The proposed system has been implemented on a recent Android smartphone. The experiment results show that reasonable location accuracy is obtained with automatic fingerprinting in indoor environments.",

keywords = "Inertial sensors, WiFi-based fingerprinting, location fingerprinting, node localization, smartphone",

author = "Yungeun Kim and Yohan Chon and Hojung Cha",

note = "Funding Information: Manuscript received July 23, 2010; revised October 28 2010; accepted November 10 2010. Date of publication December 23, 2010; date of current version December 16, 2011. This work was supported by the National Research Foundation of Korea under Grant 2010-0000405, funded by the Ministry of Education, Science, and Technology of the Korean government. This paper was recommended by Associate Editor L. B. Sheremetov.",

year = "2012",

month = jan,

doi = "10.1109/TSMCC.2010.2093516",

language = "English",

volume = "42",

pages = "112--122",

journal = "IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews",

issn = "1094-6977",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

number = "1",

}

TY - JOUR

T1 - Smartphone-based collaborative and autonomous radio fingerprinting

AU - Kim, Yungeun

AU - Chon, Yohan

AU - Cha, Hojung

N1 - Funding Information: Manuscript received July 23, 2010; revised October 28 2010; accepted November 10 2010. Date of publication December 23, 2010; date of current version December 16, 2011. This work was supported by the National Research Foundation of Korea under Grant 2010-0000405, funded by the Ministry of Education, Science, and Technology of the Korean government. This paper was recommended by Associate Editor L. B. Sheremetov.

PY - 2012/1

Y1 - 2012/1

N2 - Although active research has recently been conducted on received signal strength (RSS) fingerprint-based indoor localization, most of the current systems hardly overcome the costly and time-consuming offline training phase. In this paper, we propose an autonomous and collaborative RSS fingerprint collection and localization system. Mobile users track their position with inertial sensors and measure RSS from the surrounding access points. In this scenario, anonymous mobile users automatically collect data in daily life without purposefully surveying an entire building. The server progressively builds up a precise radio map as more users interact with their fingerprint data. The time drift error of inertial sensors is also compromised at run-time with the fingerprint-based localization, which runs with the collective fingerprints being currently built by the server. The proposed system has been implemented on a recent Android smartphone. The experiment results show that reasonable location accuracy is obtained with automatic fingerprinting in indoor environments.

AB - Although active research has recently been conducted on received signal strength (RSS) fingerprint-based indoor localization, most of the current systems hardly overcome the costly and time-consuming offline training phase. In this paper, we propose an autonomous and collaborative RSS fingerprint collection and localization system. Mobile users track their position with inertial sensors and measure RSS from the surrounding access points. In this scenario, anonymous mobile users automatically collect data in daily life without purposefully surveying an entire building. The server progressively builds up a precise radio map as more users interact with their fingerprint data. The time drift error of inertial sensors is also compromised at run-time with the fingerprint-based localization, which runs with the collective fingerprints being currently built by the server. The proposed system has been implemented on a recent Android smartphone. The experiment results show that reasonable location accuracy is obtained with automatic fingerprinting in indoor environments.

KW - Inertial sensors

KW - WiFi-based fingerprinting

KW - location fingerprinting

KW - node localization

KW - smartphone

UR - http://www.scopus.com/inward/record.url?scp=84655176645&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84655176645&partnerID=8YFLogxK

U2 - 10.1109/TSMCC.2010.2093516

DO - 10.1109/TSMCC.2010.2093516

M3 - Article

AN - SCOPUS:84655176645

SN - 1094-6977

VL - 42

SP - 112

EP - 122

JO - IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews

JF - IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews

IS - 1

M1 - 5675696

ER -

Smartphone-based collaborative and autonomous radio fingerprinting

Abstract

Bibliographical note

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this