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

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

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 There is always a premise that each person can carry only one wireless device by himself, which is no longer valid nowadays.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.

Original languageEnglish
Title of host publicationProceedings - 45th International Conference on Parallel Processing Workshops, ICPPW 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages408-414
Number of pages7
Volume2016-September
ISBN (Electronic)9781509028252
DOIs
Publication statusPublished - 2016 Sep 23
Event45th International Conference on Parallel Processing Workshops, ICPPW 2016 - Philadelphia, United States
Duration: 2016 Aug 162016 Aug 19

Other

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

Keywords

  • dynamic time warping
  • spectral clustering
  • uniqueness identification
  • wireless fingerprint

ASJC Scopus subject areas

  • Software
  • Mathematics(all)
  • Hardware and Architecture

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  • Cite this

    Li, Q., Fan, H., Sun, W., Li, J., Wang, X., & Liu, Z. (2016). Fingerprint in the Air: Using the RSS Data for Uniqueness Identification. In Proceedings - 45th International Conference on Parallel Processing Workshops, ICPPW 2016 (Vol. 2016-September, pp. 408-414). [7576492] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICPPW.2016.63