FaStER: Fast, Stable, Expendable and Reliable Radio Map for Indoor Localization

被引:0
|
作者
Al Mamun, Md Abdulla [1 ]
Anaya, David Vera [1 ]
Yuce, Mehmet Rasit [1 ]
机构
[1] Monash Univ, Elect & Comp Syst Engn, Melbourne, Vic, Australia
关键词
indoor localization; IMU; ZigBee; fingerprint; radio map;
D O I
10.1109/INERTIAL51137.2021.9430464
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
At present, fingerprinting based localization methods gain a massive attraction for numerous indoor location-based services. However, creation of a radio map is a laborious and time-consuming process that limits the applicability of this method. In this study, we propose FaStER, a Fast, Stable, Expendable and Reliable radio map creation system for fingerprinting based indoor localization applications. Data from a chest mounted IMU with ZigBee protocol based wireless network technology and indoor floor plan are used as inputs to the system. The proposed system ensures high accuracy both in terms of location estimation and RSSI acquisition by correcting errors generated from the IMU and from the presence of human body. The stability of a generated radio map is guaranteed by exploiting the concept of RSSI similarity index. The system is especially proposed for facilitating indoor location-based services with chest mounted wearable devices towards IoT connected wearable health and environmental monitoring applications. Results demonstrate that the proposed system can create a fast, stable, expendable, and reliable radio map that can help to improve the accuracy for location fingerprinting.
引用
收藏
页数:4
相关论文
共 50 条
  • [1] Unsupervised Radio Map Learning for Indoor Localization
    Huang, Ching-Chun
    Chan, Wei-Chi
    Manh Hung-Nguyen
    2017 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS - TAIWAN (ICCE-TW), 2017,
  • [2] Impact of Radio Map Size on Indoor Localization Accuracy
    Sediela, Madikana S.
    Gadebe, Moses L.
    Kogeda, Okuthe P.
    COMPUTATIONAL SCIENCE AND ITS APPLICATIONS, ICCSA 2022, PT I, 2022, 13375 : 529 - 543
  • [3] Radio map filter for sensor network indoor localization systems
    Wu, Yong
    Hu, Jianbin
    Chen, Zhong
    2007 5TH IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL INFORMATICS, VOLS 1-3, 2007, : 63 - 68
  • [4] Automatic Radio Map Adaptation for Indoor Localization Using Smartphones
    Wu, Chenshu
    Yang, Zheng
    Xiao, Chaowei
    IEEE TRANSACTIONS ON MOBILE COMPUTING, 2018, 17 (03) : 517 - 528
  • [5] Privacy preserving in indoor fingerprint localization and radio map expansion
    Sazdar, Amir Mahdi
    Alikhani, Nasim
    Ghorashi, Seyed Ali
    Khonsari, Ahmad
    PEER-TO-PEER NETWORKING AND APPLICATIONS, 2021, 14 (01) : 121 - 134
  • [6] Privacy preserving in indoor fingerprint localization and radio map expansion
    Amir Mahdi Sazdar
    Nasim Alikhani
    Seyed Ali Ghorashi
    Ahmad Khonsari
    Peer-to-Peer Networking and Applications, 2021, 14 : 121 - 134
  • [7] Differential radio map-based robust indoor localization
    Wang, Jie
    Gao, Qinghua
    Wang, Hongyu
    Chen, Hongyang
    Jin, Minglu
    EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING, 2011,
  • [8] Crowdsensing based Bluetooth Radio Map Reconstruction for Indoor Localization
    Guo, Yingying
    Kang, Xu
    Du, Hui
    2024 6TH INTERNATIONAL CONFERENCE ON DATA-DRIVEN OPTIMIZATION OF COMPLEX SYSTEMS, DOCS 2024, 2024, : 830 - 836
  • [9] Indoor Radio Map Construction and Localization With Deep Gaussian Processes
    Wang, Xiangyu
    Wang, Xuyu
    Mao, Shiwen
    Zhang, Jian
    Periaswamy, Senthilkumar C. G.
    Patton, Justin
    IEEE INTERNET OF THINGS JOURNAL, 2020, 7 (11): : 11238 - 11249
  • [10] Radio Map Building with IEEE 802.15.4 for Indoor Localization Applications
    Al Mamun, Md Abdulla
    Anaya, David Vera
    Wu, Fan
    Redoute, Jean-Michel
    Yuce, Mehmet Rasit
    2019 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL TECHNOLOGY (ICIT), 2019, : 181 - 186