ZiLoc: Energy efficient WiFi fingerprint-based localization with low-power radio

Jianwei Niu; Banghui Lu; Long Cheng; Yu Gu; Lei Shu

doi:10.1109/WCNC.2013.6555313

ZiLoc: Energy efficient WiFi fingerprint-based localization with low-power radio

Jianwei Niu
, Banghui Lu
, Long Cheng
, Yu Gu
, Lei Shu

School of Computer Science and Engineering

Beihang University
Singapore University of Technology and Design
Guangdong University of Petrochemical Technology

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

42 Scopus citations

Abstract

Indoor localization is essential to enable location-based services in wireless pervasive computing environment. In recent years, WiFi fingerprint-based localization has received considerable attention due to its deployment practicability. In order to achieve on-the-fly localization, WiFi receivers (e.g., mobile phones or laptops) being located need to scan WiFi signals continuously. Since they are normally battery driven, energy efficiency is a very important consideration in WiFi fingerprinting localization systems. Motivated by the fact that IEEE 802.11 (WiFi) and 802.15.4 (ZigBee) channels overlap in the 2.4GHz ISM band, in this work, we develop a WiFi fingerprint-based localization system using ZigBee radio, called ZiLoc. We first present a novel RSS-location fingerprint model to identify the features of surrounding APs. We then propose a simple yet effective method to compute the similarity of two RSS fingerprints. Experimental results demonstrate that ZiLoc can achieve an average of 85% room-level localization accuracy and reduce more than 60% energy consumption compared with the method using WiFi interfaces to collect RSS fingerprints.

Original language	English
Title of host publication	2013 IEEE Wireless Communications and Networking Conference, WCNC 2013
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	4558-4563
Number of pages	6
ISBN (Print)	9781467359399
DOIs	https://doi.org/10.1109/WCNC.2013.6555313
State	Published - 2013
Event	2013 IEEE Wireless Communications and Networking Conference, WCNC 2013 - Shanghai, China Duration: 7 Apr 2013 → 10 Apr 2013

Publication series

Name	IEEE Wireless Communications and Networking Conference, WCNC
ISSN (Print)	1525-3511
ISSN (Electronic)	1558-2612

Conference

Conference	2013 IEEE Wireless Communications and Networking Conference, WCNC 2013
Country/Territory	China
City	Shanghai
Period	7/04/13 → 10/04/13

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

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10.1109/WCNC.2013.6555313

Cite this

Niu, J., Lu, B., Cheng, L., Gu, Y., & Shu, L. (2013). ZiLoc: Energy efficient WiFi fingerprint-based localization with low-power radio. In 2013 IEEE Wireless Communications and Networking Conference, WCNC 2013 (pp. 4558-4563). Article 6555313 (IEEE Wireless Communications and Networking Conference, WCNC). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WCNC.2013.6555313

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title = "ZiLoc: Energy efficient WiFi fingerprint-based localization with low-power radio",

abstract = "Indoor localization is essential to enable location-based services in wireless pervasive computing environment. In recent years, WiFi fingerprint-based localization has received considerable attention due to its deployment practicability. In order to achieve on-the-fly localization, WiFi receivers (e.g., mobile phones or laptops) being located need to scan WiFi signals continuously. Since they are normally battery driven, energy efficiency is a very important consideration in WiFi fingerprinting localization systems. Motivated by the fact that IEEE 802.11 (WiFi) and 802.15.4 (ZigBee) channels overlap in the 2.4GHz ISM band, in this work, we develop a WiFi fingerprint-based localization system using ZigBee radio, called ZiLoc. We first present a novel RSS-location fingerprint model to identify the features of surrounding APs. We then propose a simple yet effective method to compute the similarity of two RSS fingerprints. Experimental results demonstrate that ZiLoc can achieve an average of 85\% room-level localization accuracy and reduce more than 60\% energy consumption compared with the method using WiFi interfaces to collect RSS fingerprints.",

author = "Jianwei Niu and Banghui Lu and Long Cheng and Yu Gu and Lei Shu",

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doi = "10.1109/WCNC.2013.6555313",

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note = "2013 IEEE Wireless Communications and Networking Conference, WCNC 2013 ; Conference date: 07-04-2013 Through 10-04-2013",

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Niu, J, Lu, B, Cheng, L, Gu, Y & Shu, L 2013, ZiLoc: Energy efficient WiFi fingerprint-based localization with low-power radio. in 2013 IEEE Wireless Communications and Networking Conference, WCNC 2013., 6555313, IEEE Wireless Communications and Networking Conference, WCNC, Institute of Electrical and Electronics Engineers Inc., pp. 4558-4563, 2013 IEEE Wireless Communications and Networking Conference, WCNC 2013, Shanghai, China, 7/04/13. https://doi.org/10.1109/WCNC.2013.6555313

ZiLoc: Energy efficient WiFi fingerprint-based localization with low-power radio. / Niu, Jianwei; Lu, Banghui; Cheng, Long et al.
2013 IEEE Wireless Communications and Networking Conference, WCNC 2013. Institute of Electrical and Electronics Engineers Inc., 2013. p. 4558-4563 6555313 (IEEE Wireless Communications and Networking Conference, WCNC).

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

TY - GEN

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AU - Niu, Jianwei

AU - Lu, Banghui

AU - Cheng, Long

AU - Gu, Yu

AU - Shu, Lei

PY - 2013

Y1 - 2013

N2 - Indoor localization is essential to enable location-based services in wireless pervasive computing environment. In recent years, WiFi fingerprint-based localization has received considerable attention due to its deployment practicability. In order to achieve on-the-fly localization, WiFi receivers (e.g., mobile phones or laptops) being located need to scan WiFi signals continuously. Since they are normally battery driven, energy efficiency is a very important consideration in WiFi fingerprinting localization systems. Motivated by the fact that IEEE 802.11 (WiFi) and 802.15.4 (ZigBee) channels overlap in the 2.4GHz ISM band, in this work, we develop a WiFi fingerprint-based localization system using ZigBee radio, called ZiLoc. We first present a novel RSS-location fingerprint model to identify the features of surrounding APs. We then propose a simple yet effective method to compute the similarity of two RSS fingerprints. Experimental results demonstrate that ZiLoc can achieve an average of 85% room-level localization accuracy and reduce more than 60% energy consumption compared with the method using WiFi interfaces to collect RSS fingerprints.

AB - Indoor localization is essential to enable location-based services in wireless pervasive computing environment. In recent years, WiFi fingerprint-based localization has received considerable attention due to its deployment practicability. In order to achieve on-the-fly localization, WiFi receivers (e.g., mobile phones or laptops) being located need to scan WiFi signals continuously. Since they are normally battery driven, energy efficiency is a very important consideration in WiFi fingerprinting localization systems. Motivated by the fact that IEEE 802.11 (WiFi) and 802.15.4 (ZigBee) channels overlap in the 2.4GHz ISM band, in this work, we develop a WiFi fingerprint-based localization system using ZigBee radio, called ZiLoc. We first present a novel RSS-location fingerprint model to identify the features of surrounding APs. We then propose a simple yet effective method to compute the similarity of two RSS fingerprints. Experimental results demonstrate that ZiLoc can achieve an average of 85% room-level localization accuracy and reduce more than 60% energy consumption compared with the method using WiFi interfaces to collect RSS fingerprints.

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Niu J, Lu B, Cheng L, Gu Y, Shu L. ZiLoc: Energy efficient WiFi fingerprint-based localization with low-power radio. In 2013 IEEE Wireless Communications and Networking Conference, WCNC 2013. Institute of Electrical and Electronics Engineers Inc. 2013. p. 4558-4563. 6555313. (IEEE Wireless Communications and Networking Conference, WCNC). doi: 10.1109/WCNC.2013.6555313

ZiLoc: Energy efficient WiFi fingerprint-based localization with low-power radio

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