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PINUS: Indoor Weighted Centroid Localization with Crowdsourced Calibration

  • Jehn-Ruey JiangEmail author
  • Hanas Subakti
  • Ching-Chih Chen
  • Kazuya Sakai
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 931)

Abstract

PINUS, an indoor weighted centroid localization (WCL) method with crowdsourced calibration, is proposed in this paper. It relies on crowdsourcing to do the calibration for WCL to improve localization accuracy without the device diversity problem. Smartphones and Bluetooth Low Energy (BLE) beacon devices are applied to realize PINUS for the sake of design validation and performance evaluation.

Keywords

Bluetooth Beacon Calibration Crowdsourcing Device diversity Indoor localization Weighted centroid localization 

Notes

Acknowledgment

This work was supported in part by the Ministry of Science and Technology (MOST), Taiwan, under grant numbers 106-2218-E-008-003-, and 107-2918-I-008-002-. Special thanks go to Tokyo Metropolitan University, Japan, for providing international cooperation research opportunity in 2018.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Jehn-Ruey Jiang
    • 1
    Email author
  • Hanas Subakti
    • 1
  • Ching-Chih Chen
    • 1
  • Kazuya Sakai
    • 2
  1. 1.National Central UniversityTaoyuan CityTaiwan
  2. 2.Tokyo Metropolitan UniversityHachiojiJapan

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