Dealing with Insufficient Location Fingerprints in Wi-Fi Based Indoor Location Fingerprinting
Joint Authors
Dong, Kai
Ling, Zhen
Xia, Xiangyu
Ye, Haibo
Wu, Wenjia
Yang, Ming
Source
Wireless Communications and Mobile Computing
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-08-09
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Information Technology and Computer Science
Abstract EN
The development of the Internet of Things has accelerated research in the indoor location fingerprinting technique, which provides value-added localization services for existing WLAN infrastructures without the need for any specialized hardware.
The deployment of a fingerprinting based localization system requires an extremely large amount of measurements on received signal strength information to generate a location fingerprint database.
Nonetheless, this requirement can rarely be satisfied in most indoor environments.
In this paper, we target one but common situation when the collected measurements on received signal strength information are insufficient, and show limitations of existing location fingerprinting methods in dealing with inadequate location fingerprints.
We also introduce a novel method to reduce noise in measuring the received signal strength based on the maximum likelihood estimation, and compute locations from inadequate location fingerprints by using the stochastic gradient descent algorithm.
Our experiment results show that our proposed method can achieve better localization performance even when only a small quantity of RSS measurements is available.
Especially when the number of observations at each location is small, our proposed method has evident superiority in localization accuracy.
American Psychological Association (APA)
Dong, Kai& Ling, Zhen& Xia, Xiangyu& Ye, Haibo& Wu, Wenjia& Yang, Ming. 2017. Dealing with Insufficient Location Fingerprints in Wi-Fi Based Indoor Location Fingerprinting. Wireless Communications and Mobile Computing،Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1205599
Modern Language Association (MLA)
Dong, Kai…[et al.]. Dealing with Insufficient Location Fingerprints in Wi-Fi Based Indoor Location Fingerprinting. Wireless Communications and Mobile Computing No. 2017 (2017), pp.1-11.
https://search.emarefa.net/detail/BIM-1205599
American Medical Association (AMA)
Dong, Kai& Ling, Zhen& Xia, Xiangyu& Ye, Haibo& Wu, Wenjia& Yang, Ming. Dealing with Insufficient Location Fingerprints in Wi-Fi Based Indoor Location Fingerprinting. Wireless Communications and Mobile Computing. 2017. Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1205599
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1205599