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

Content Provider	IEEE Xplore Digital Library
Author	Jianwei Niu Banghui Lu Long Cheng Yu Gu Lei Shu
Copyright Year	2013
Description	Author affiliation: Guangdong Univ. of Petrochem. Technol., Maoming, China (Lei Shu) \|\| Singapore Univ. of Technol. & Design, Singapore, Singapore (Yu Gu) \|\| State Key Lab. of Software Dev. Environ., Beihang Univ., Beijing, China (Jianwei Niu; Banghui Lu; Long Cheng)
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.
Starting Page	4558
Ending Page	4563
File Size	1733653
Page Count	6
File Format	PDF
ISBN	9781467359382
ISSN	15253511
e-ISBN	9781467359399
e-ISBN	9781467359375
DOI	10.1109/WCNC.2013.6555313
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-04-07
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	IEEE 802.11 Standards Zigbee Accuracy IEEE 802.15 Standards Vectors Energy consumption Portable computers
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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ZiLoc: Energy efficient WiFi fingerprint-based localization with low-power radio