Beacon Placement for Indoor Localization using Bluetooth

被引:84
|
作者
Chawathe, Sudarshan S. [1 ]
机构
[1] Univ Maine, Dept Comp Sci, Orono, ME 04469 USA
关键词
D O I
10.1109/ITSC.2008.4732690
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
We describe a method for determining the location of a mobile device, such as a handheld computer or mobile phone, in an indoor environment using Bluetooth beacons. Since it uses inexpensive commodity devices, this method is inexpensive to deploy. The limited range of Bluetooth reception is used to advantage. Another important advantage of this method is that it allows the mobile device to determine its location while remaining anonymous, unidentified to the beacons or other nearby devices. In such a deployment, an important design task is the placement of beacons. Signal propagation in indoor environments is complex, affected by factors such as floor-plans and duct-work, varying transmission and reflection properties of building materials and furniture, and interference from other devices. Therefore, the area from which a beacon is visible is very irregular and not well approximated by simple models such as ellipsoids. Our solution permits complex reception characteristics to be accurately modeled and provides a simple method for choosing beacon locations.
引用
收藏
页码:980 / +
页数:2
相关论文
共 50 条
  • [31] An indoor localization solution using Bluetooth RSSI and multiple sensors on a smartphone
    Keonsoo Lee
    Yunyoung Nam
    Se Dong Min
    Multimedia Tools and Applications, 2018, 77 : 12635 - 12654
  • [32] Indoor Localization for Bluetooth Low Energy Using Wavelet and Smoothing Filter
    Hou, Xiaoyue
    Arslan, Tughrul
    Gu, Jiacheng
    2017 INTERNATIONAL CONFERENCE ON LOCALIZATION AND GNSS (ICL-GNSS), 2017,
  • [33] An indoor localization solution using Bluetooth RSSI and multiple sensors on a smartphone
    Lee, Keonsoo
    Nam, Yunyoung
    Min, Se Dong
    MULTIMEDIA TOOLS AND APPLICATIONS, 2018, 77 (10) : 12635 - 12654
  • [34] A stigmergic approach to indoor localization using Bluetooth Low Energy beacons
    Palumbo, Filippo
    Barsocchi, Paolo
    Chessa, Stefano
    Augusto, Juan Carlos
    2015 12TH IEEE INTERNATIONAL CONFERENCE ON ADVANCED VIDEO AND SIGNAL BASED SURVEILLANCE (AVSS), 2015,
  • [35] Bluetooth Fingerprint based Indoor Localization using Bi-LSTM
    Hu, Senchun
    He, Kun
    Yang, Xi
    Peng, Shengliang
    2022 31ST WIRELESS AND OPTICAL COMMUNICATIONS CONFERENCE (WOCC), 2022, : 161 - 165
  • [36] Design and Implementation of Bluetooth-Beacon Based Indoor Positioning System
    Challa, Naga Sai Ravali
    Kesari, Padmapriya
    Ammana, Supraja Reddy
    Katukojwala, Satyanarayana
    Achanta, Dattatreya Sarma
    2019 5TH IEEE INTERNATIONAL WIE CONFERENCE ON ELECTRICAL AND COMPUTER ENGINEERING (WIECON-ECE 2019), 2019,
  • [37] Experiment of Indoor Position Presumption Based on RSSI of Bluetooth LE Beacon
    Kajioka, Shinsuke
    Mori, Tomoya
    Uchiya, Takahiro
    Takumi, Ichi
    Matsuo, Hiroshi
    2014 IEEE 3RD GLOBAL CONFERENCE ON CONSUMER ELECTRONICS (GCCE), 2014, : 337 - 339
  • [38] Beacon Node Placement for Minimal Localization Error
    Yuan, Zimu
    Li, Wei
    Yang, Shuhui
    2019 INTERNATIONAL CONFERENCE ON INTERNET OF THINGS (ITHINGS) AND IEEE GREEN COMPUTING AND COMMUNICATIONS (GREENCOM) AND IEEE CYBER, PHYSICAL AND SOCIAL COMPUTING (CPSCOM) AND IEEE SMART DATA (SMARTDATA), 2019, : 980 - 985
  • [39] CONSTRAINT KALMAN FILTER FOR INDOOR BLUETOOTH LOCALIZATION
    Chen, Liang
    Kuusniemi, Heidi
    Chen, Yuwei
    Liu, Jingbin
    Pei, Ling
    Ruotsalainen, Laura
    Chen, Ruizhi
    2015 23RD EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO), 2015, : 1915 - 1919
  • [40] A UWB/Bluetooth Fusion Algorithm for Indoor Localization
    Zhao, Chong
    Wang, Bo
    PROCEEDINGS OF THE 38TH CHINESE CONTROL CONFERENCE (CCC), 2019, : 4142 - 4146