Cited 9 time in webofscience Cited 9 time in scopus

Toward Low-Overhead Fingerprint-Based Indoor Localization via Transfer Learning: Design, Implementation, and Evaluation

Title
Toward Low-Overhead Fingerprint-Based Indoor Localization via Transfer Learning: Design, Implementation, and Evaluation
Authors
Liu, KaiZhang, HaoNg, Joseph Kee-YinXia, YushengFeng, LiangLee, Victor C. S.Son, Sang Hyuk
DGIST Authors
Son, Sang Hyuk
Issue Date
2018-03
Citation
IEEE Transactions on Industrial Informatics, 14(3), 898-908
Type
Article
Article Type
Article
Keywords
Signal StrengthLocationSystem
ISSN
1551-3203
Abstract
This work aims at proposing a transfer learning (TL)-based framework to enhance system scalability of fingerprint-based indoor localization by reducing offline training overhead without jeopardizing the localization accuracy. The basic principle is to reshape data distributions in the target domain based on the transferred knowledge from the source domains, so that those data belonging to the same cluster will be logically closer to each other, whereas others will be further apart from each other. Specifically, the TL-based framework consists of two parts, metric learning and metric transfer, which are used to learn the distance metrics from source domains and identify the most suitable metric for the target domain, respectively. Furthermore, this work implements a prototype of the fingerprint-based indoor localization system with the proposed TL-based framework embedded. Finally, extensive real-world experiments are conducted to demonstrate the effectiveness and the generality of the TL-based framework. © 2005-2012 IEEE.
URI
http://hdl.handle.net/20.500.11750/6153
DOI
10.1109/TII.2017.2750240
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Related Researcher
  • Author Son, Sang Hyuk RTCPS(Real-Time Cyber-Physical Systems) Lab
  • Research Interests Real-time system; Wireless sensor network; Cyber-physical system; Data and event service; Information security; 실시간 임베디드 시스템
Files:
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Collection:
Department of Information and Communication EngineeringRTCPS(Real-Time Cyber-Physical Systems) Lab1. Journal Articles


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