NDLI: Occurrence-Based Fingerprint Clustering for Fast Pattern-Matching Location Determination

Content Provider	IEEE Xplore Digital Library
Author	Yijun Mo Zuo Cao Bang Wang
Copyright Year	1997
Abstract	Fingerprint clustering is an efficient approach to address the scalability problem of the pattern-matching localization system in large-scale environments. In this letter, we propose an occurrence-based fingerprint clustering algorithm that exploits the useful information embedded in the statistics of received signal strength measurements. Our algorithm allows that a reference point can have more than one fingerprint according to the highest received signal strength, and can be grouped into several clusters according to its highest and second highest received signal strengths. Simulation and experimental results show that our algorithm performs consistently a little better than the peer one without clustering in terms of improved localization accuracy and reduced fingerprint comparisons. Compared with two other clustering algorithms, our algorithm also achieves higher localization accuracy and reduces false cluster selection.
Starting Page	2012
Ending Page	2015
Page Count	4
File Size	959840
File Format	PDF
ISSN	10897798
Volume Number	16
Issue Number	12
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-12-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Clustering algorithms Mobile communication Reliability Computational modeling Accuracy Noise measurement RSS statistics Fingerprint-based localization fingerprint clustering
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Modeling and Simulation Computer Science Applications

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
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7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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