A Fingerprint-Based Indoor Localization System Using IEEE 802.15.4 for Staying Room Detection

被引:1
|
作者
Puspitaningayu, Pradini [1 ]
Funabiki, Nobuo [2 ,3 ]
Huo, Yuanzhi [4 ]
Hamazaki, Kazushi [1 ]
Kuribayashi, Minoru [1 ]
Kao, Wen-Chung [5 ,6 ]
机构
[1] Okayama Univ, Grad Sch Nat Sci & Technol, Okayama, Japan
[2] Okayama Univ, Dept Elect & Commun Network Engn, Okayama, Japan
[3] Okayama Univ, Dept Commun & Network Engn, Okayama, Japan
[4] Okayama Univ, Okayama, Japan
[5] Natl Taiwan Normal Univ, Dept Elect Engn, Taipei, Taiwan
[6] Natl Taiwan Normal Univ, Coll Technol & Engn, Taipei, Taiwan
关键词
Detection Accuracy; Fingerprint; Fluctuation; IEEE; 802.15.4; Indoor Localization System; MQTT; Raspberry Pi; POSITIONING SYSTEM;
D O I
10.4018/IJMCMC.301275
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
Nowadays, indoor localization systems using IEEE 802.11 have been actively explored for location-based services, since GPS cannot identify floors or rooms in buildings. However, the user-side device is usually large and consumes high energy. In this paper, the authors propose a fingerprint-based indoor localization system using IEEE 802.15.4 that allows the use of a small device with a long-life battery, named FILS15.4. A user carries a small transmitter whose signal is received by multiple receivers simultaneously. The received signal strengths are compared with the fingerprints to find the current location. To address signal fluctuations caused by the low-power narrow-band signal, FILS15.4 limits one room as the localization unit, prepares plural fingerprints for each room, and allocates a sufficient number of receivers in the field. For evaluations, extensive experiments were conducted at #2 Engineering Building in Okayama University and confirmed high detection accuracy with sufficient numbers of receivers and fingerprints.
引用
收藏
页数:21
相关论文
共 50 条
  • [1] A Proposal of the Fingerprint Optimization Method for the Fingerprint-Based Indoor Localization System with IEEE 802.15.4 Devices
    Huo, Yuanzhi
    Puspitaningayu, Pradini
    Funabiki, Nobuo
    Hamazaki, Kazushi
    Kuribayashi, Minoru
    Kojima, Kazuyuki
    INFORMATION, 2022, 13 (05)
  • [2] An Evaluation of Fingerprint-Based Indoor Localization Techniques
    Karabey, Isil
    Bayindir, Levent
    2015 23RD SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU), 2015, : 2254 - 2257
  • [3] Performance Analysis of Fingerprint-Based Indoor Localization
    Yang, Lyuxiao
    Wu, Nan
    Xiong, Yifeng
    Yuan, Weijie
    Li, Bin
    Li, Yonghui
    Nallanathan, Arumugam
    IEEE INTERNET OF THINGS JOURNAL, 2024, 11 (13): : 23803 - 23819
  • [4] Utilization of Room-to-Room Transition Time in Wi-Fi Fingerprint-Based Indoor Localization
    Karabey, Isil
    Bayindir, Levent
    PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE COMPUTING & SIMULATION (HPCS 2015), 2015, : 318 - 322
  • [5] Confidence interval estimation for fingerprint-based indoor localization
    Nabati, Mohammad
    Ghorashi, Seyed Ali
    Shahbazian, Reza
    AD HOC NETWORKS, 2022, 134
  • [6] Using GSM Signals for Fingerprint-based Indoor Positioning System
    Machaj, Juraj
    Brida, Peter
    Benikovsky, Jozef
    2014 ELEKTRO, 2014, : 64 - 67
  • [7] An Advanced Fingerprint-based Indoor Localization Scheme for WSNs
    Wang, Xizhe
    Qiu, Jian
    Ye, Sheng
    Dai, Guojun
    PROCEEDINGS OF THE 2014 9TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA), 2014, : 2164 - 2169
  • [8] Toward Practical Deployment of Fingerprint-Based Indoor Localization
    He, Suining
    Hu, Tianyang
    Chan, S. -H. Gary
    IEEE PERVASIVE COMPUTING, 2017, 16 (02) : 76 - 83
  • [9] Server-side Fingerprint-Based Indoor Localization Using Encrypted Sorting
    Quijano, Andrew
    Akkaya, Kemal
    2019 IEEE 16TH INTERNATIONAL CONFERENCE ON MOBILE AD HOC AND SENSOR SYSTEMS WORKSHOPS (MASSW 2019), 2019, : 53 - 57
  • [10] Cooperative Fingerprint-based Indoor Localization using Self-Organizing Maps
    Papapostolou, Apostolia
    Xiao, Wendong
    Chaouchi, Hakima
    2011 7TH INTERNATIONAL WIRELESS COMMUNICATIONS AND MOBILE COMPUTING CONFERENCE (IWCMC), 2011, : 1814 - 1819