Indoor environment dataset based on RSSI collected with bluetooth devices

被引：0
|
作者：
Assayag, Yuri [1 ]
Oliveira, Horacio [1 ]
Lima, Max [1 ]
Junior, Joao [1 ]
Preste, Mateus [1 ]
Guimaraes, Leonardo [1 ]
Souto, Eduardo [1 ]
机构：
[1] Univ Fed Amazonas, Inst Comp, Manaus, Amazonas, Brazil
来源：
DATA IN BRIEF | 2024年 / 55卷
关键词：
Indoor localization; Bluetooth; Received signal strength indicator; Internet of things; Location based services;
D O I：
10.1016/j.dib.2024.110692
中图分类号：
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
This paper describes a data collection experiment focused on researching indoor positioning systems using Bluetooth Low Energy (BLE) devices. The study was conducted in a real-world scenario with 150 test points and collected signals from 11 mobile devices. The dataset contains RSSI values from the mobile devices in relation to 15 fixed anchor nodes in the experimentation scenario. The dataset includes data on device identification, labels and coordinates of test points, and the room where the data was collected. The data is organized as CSV files and offers valuable information for researchers developing and assessing location models. By sharing this dataset, we aim to support the creation of robust and precise indoor localization models. (c) 2024 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY license ( http://creativecommons.org/licenses/by/4.0/ )
引用
收藏
页数：7
相关论文
共 50 条
  • [11] Bluetooth-based Indoor Positioning through ToF and RSSI Data Fusion
    Giovanelli, Davide
    Farella, Elisabetta
    Fontanelli, Daniele
    Macii, David
    2018 NINTH INTERNATIONAL CONFERENCE ON INDOOR POSITIONING AND INDOOR NAVIGATION (IPIN 2018), 2018,
  • [12] Integrity Monitoring for Bluetooth Low Energy Beacons RSSI Based Indoor Positioning
    Yao, Haiyun
    Shu, Hong
    Liang, Xinlian
    Yan, Hongji
    Sun, Hongxing
    IEEE ACCESS, 2020, 8 : 215173 - 215191
  • [13] Using RSSI-Based Bluetooth Low Energy for Indoor Location Detection
    Sumer, Niyazi Nadi
    Atakli, Nevzat
    Kucur, Oguz
    2020 5TH INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND ENGINEERING (UBMK), 2020, : 83 - 87
  • [14] RSSI-Based Smooth Localization for Indoor Environment
    Wang, Yujian
    Zhao, Bin
    Jiang, Zhaohui
    SCIENTIFIC WORLD JOURNAL, 2014,
  • [15] Bluetooth RSSI Based Collision Avoidance in Multi-robot Environment
    Lijina, P.
    Kumaar, Nippun A. A.
    2016 INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, COMMUNICATIONS AND INFORMATICS (ICACCI), 2016, : 2168 - 2174
  • [16] A Deep Learning Based Bluetooth Indoor Localization Algorithm by RSSI and AOA Feature Fusion
    Zhu, Dekang
    Yan, Jun
    2022 INTERNATIONAL CONFERENCE ON COMPUTER, INFORMATION AND TELECOMMUNICATION SYSTEMS, CITS, 2022, : 70 - 75
  • [17] An Indoor Positioning Algorithm Using Bluetooth Low Energy RSSI
    Chai, Song
    An, Renbo
    Du, Zhengzhong
    PROCEEDINGS OF THE 2016 INTERNATIONAL CONFERENCE ON ADVANCED MATERIALS SCIENCE AND ENVIRONMENTAL ENGINEERING, 2016, 52 : 276 - 278
  • [18] Design and Implementation of an RSSI-Based Bluetooth Low Energy Indoor Localization System
    Cortesi, Silvano
    Dreher, Marc
    Magno, Michele
    2021 17TH INTERNATIONAL CONFERENCE ON WIRELESS AND MOBILE COMPUTING, NETWORKING AND COMMUNICATIONS (WIMOB 2021), 2021, : 163 - 168
  • [19] Indoor Positioning Based on Bluetooth RSSI Mean Estimator for the Evacuation Supervision System Application
    Janczak, Dariusz
    Walendziuk, Wojciech
    Sadowski, Maciej
    Zankiewicz, Andrzej
    Konopko, Krzysztof
    Slowik, Maciej
    Gulewicz, Malgorzata
    IEEE ACCESS, 2024, 12 : 55843 - 55858
  • [20] A Bluetooth 5.1 Dataset Based on Angle of Arrival and RSS for Indoor Localization
    Girolami, Michele
    Furfari, Francesco
    Barsocchi, Paolo
    Mavilia, Fabio
    IEEE ACCESS, 2023, 11 : 81763 - 81776
12345