IGMM-based approach for discovering co-located mobile users

Pedro M. Varela, Jihoon Hong, Tomoaki Ohtsuki

研究成果: Conference contribution

抜粋

Nowadays people are carrying their mobile devices wherever they go, and as social beings they interact with others all day long. Thus, by exploiting this massive use of smart devices they provide a way to be co-located using only their captured environmental radio signals. In this paper, we design a co-location system that finds groups of people, in real-time, with high accuracy, by exploiting the similarity of their measured radio signals. Our method is based on a nonparametric Bayesian (NPB) method called infinite Gaussian mixture model (IGMM) that allows the model parameters to change with observed input data. This system is designed in a completely centralised manner. Hence, it enables the network to control and manage the formation of the all users' groups. We analyze the performance of our framework, in terms of clustering accuracy, with datasets from a real-world setting to demonstrate its feasibility. We also compare its performance against community detection based clustering method. Results on experiment with real datasets show a better accuracy favoring our approach against its counterpart.

元の言語English
ホスト出版物のタイトル2016 IEEE Global Communications Conference, GLOBECOM 2016 - Proceedings
出版者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9781509013289
DOI
出版物ステータスPublished - 2017 2 2
イベント59th IEEE Global Communications Conference, GLOBECOM 2016 - Washington, United States
継続期間: 2016 12 42016 12 8

Other

Other59th IEEE Global Communications Conference, GLOBECOM 2016
United States
Washington
期間16/12/416/12/8

    フィンガープリント

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Networks and Communications
  • Hardware and Architecture
  • Safety, Risk, Reliability and Quality

これを引用

Varela, P. M., Hong, J., & Ohtsuki, T. (2017). IGMM-based approach for discovering co-located mobile users. : 2016 IEEE Global Communications Conference, GLOBECOM 2016 - Proceedings [7841883] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GLOCOM.2016.7841883