Fingerprint in the Air: Using the RSS Data for Uniqueness Identification

Qiyue Li, Hailong Fan, Wei Sun, Jie Li, Xiaoyan Wang, Zhi Liu

研究成果

1 被引用数 (Scopus)

抄録

Indoor localization, device identification, and wireless attendance security systems are widely used in recent years. There is always a premise that each person can carry only one wireless device by himself, which is no longer valid nowadays. To detect the uniqueness identification problem, the bio-assisted methods such as fingerprint, face or gait recognition systems are deployed near the entrance which are difficult to use. This paper studies such problem using RF RSS fingerprints which can be collected and modeled as time series. Then we can calculate the similarity of the time series to judge the uniqueness identification problem. Firstly, a naive algorithm using dynamic time warping is presented to simply compute the similarity the asynchronous time series. Then an improved algorithm is proposed to reduce the computational complexity while keeping the robustness. Simulation and experiments results show that our algorithms can perfectly detect the uniqueness identification problem with a reasonable cost.

本文言語English
ホスト出版物のタイトルProceedings - 45th International Conference on Parallel Processing Workshops, ICPPW 2016
出版社Institute of Electrical and Electronics Engineers Inc.
ページ408-414
ページ数7
2016-September
ISBN(電子版)9781509028252
DOI
出版ステータスPublished - 2016 9 23
イベント45th International Conference on Parallel Processing Workshops, ICPPW 2016 - Philadelphia, United States
継続期間: 2016 8 162016 8 19

Other

Other45th International Conference on Parallel Processing Workshops, ICPPW 2016
国/地域United States
CityPhiladelphia
Period16/8/1616/8/19

ASJC Scopus subject areas

  • ソフトウェア
  • 数学 (全般)
  • ハードウェアとアーキテクチャ

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