Datasets
Open Access
WiFi RSSI Indoor Localization
- Citation Author(s):
- Submitted by:
- Tu Hoang
- Last updated:
- Sat, 11/13/2021 - 21:21
- DOI:
- 10.21227/1yd5-rn96
- Data Format:
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Abstract
A reliable and comprehensive public WiFi fingerprinting database for researchers to implement and compare the indoor localization’s methods.The database contains RSSI information from 6 APs conducted in different days with the support of autonomous robot.
We use an autonomous robot to collect the WiFi fingerprint data. Our 3-wheel robot has multiple sensors including wheel odometer, an inertial measurement unit (IMU), a LIDAR, sonar sensors and a color and depth (RGB-D) camera. The robot can navigate to a target location to collect WiFi fingerprints automatically. The localization accuracy of the robot is 0.07 m ± 0.02 m. The dimension of the area is 21 m × 16 m. It has three long corridors. There are six APs and five of them provide two distinct MAC address for 2.4- and 5-GHz communications channels, respectively, except for one that only operates on 2.4-GHz frequency. There is one router can provide CSI information.
Database Folder name "RSSI_6AP_Experiments" which includes:
+ Nexus 4 database
+ Nexus 5 database
Training & Testing data are seperated & collected in different time with different locations.
* The general format for csv data file is:
-- X & Y & The list of RSSI
-- X | Y | RSSI Vector
Dataset Files
- RSSI_6AP_Experiments.zip (64.63 MB)
- KNN_RADAR_main.m (6.29 kB)
- NearDistanceNeighbour.m (1.51 kB)
- Radar_KNN.m (1.75 kB)
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Comments
Hello.
First thanks for the datasets , but i found some errors:
you have mentioned some coordinates with x = 21 but the map length is 21 too, how is that possible??
BEST WISHES
Thanks Aymen for using our database and giving the feedback. Really appreciate it.
The exact dimension is 21.4 m which we modified the pdf floor map description accordingly.
Hello,
It is possible to inform the APs position?
Tks a lot
It is possibile to inform the AP's position?
New Datasets with over 1,000,000 data points in 4 different locations
https://ieee-dataport.org/documents/esp32c3-wifi-ftm-rssi-indoor-localization
https://ieee-dataport.org/documents/wi-fi-and-bluetooth-rssi-sqi-indoor-localization