상세정보
학술대회
Design of Aging-Resistant Wi-Fi Fingerprint-based Localization System with Continuous Active Learning
- 발행일
- 201802
- 출처
- International Conference on Advanced Communications Technology (ICACT) 2018, pp.1054-1059
- ISSN
- 2288-0003
- 협약과제
- 17HH3600, 상황인지기반 멀티팩터 인증 및 전자서명을 제공하는 범용인증플랫폼기술 개발, 김수형
- 초록
- Wi-Fi fingerprint-based localization systems are widely used for indoor localization as it only needs Wi-Fi network infrastructure that exists almost everywhere nowadays. However, it can be vulnerable to environmental change if Wi-Fi fingerprint-based localization system uses fixed Wi-Fi fingerprint database as training dataset and has no method for updating training dataset. In this paper, we propose AR-WFL system including update phase that can reflect environmental change periodically and prevent performance degradation. The proposed AR-WFL system is based on crowdsourcing and no dedicated annotator exists. In addition, we adopt active learning scheme with uncertainty selective sampling algorithm to maximize cost-efficiency of the update phase. We evaluate the performance of the update phase as location estimation accuracy using a dataset we collected for 2 months. It shows that average accuracy is increased by 1.83%p using update phase with uncertainty sampling algorithm compared with the system without an update phase.
- KSP 제안 키워드
- Cost Efficiency, Environmental change, Fingerprint database, Localization systems, Location estimation accuracy, Sampling algorithm, Uncertainty sampling, Wi-Fi network, WiFi fingerprint, active learning(AL), fingerprint-based localization