Received signal strength indicator (RSSI)

This dataset provides high-grade Received Signal Strength Indicator (RSSI) data collected from a set of experiments meant to estimate the number of drones present in a closed indoor space. The experiments are conducted varying the number of drones from one to seven, where all the variations in RSSI signal data are captured using a 5G transceiver setup established using Ettus E312 software-defined radio. There are seven files in the database, with a minimum of about 270 million samples.

A modern Wi-Fi-enabled device (e.g., a smartphone) can spontaneously emit unencrypted and anonymized signals to the environment in search of an access point. This signal is called a probe request. Since it is freely available in the open air, one can build a sensor from a Wi-Fi adapter to capture the signal. Once captured, its signal strength can be measured in the form of a Received Signal Strength Indicator (RSSI).

This is the dataset of received signal strength indicator (RSSI) from Wi-Fi routers in different environments.

RSSI was collected by a person holding an Android tablet within one hour 

in S301, Graduate School of Informatic Science (Main Building), Kobe University, Japan.

We collected the RSSI between the terminal and Wi-Fi routers 

per second 30 times at 20 reference points with doors open. 

Then, we collected RSSI data again with doors closed. 

Wi-Fi FTM RSSI Localization dataset

Wi-Fi Fine Time Measurement for positioning / Indoor Localization in 3 different locations and using 8 different APs
 
Custom APs using ESP32C3 and Raw FTM is measured in nanoseconds
 
Data is only measured at the Router Side
 
Data is not measured at client side
 
Has 4 datasets inside the zip folder with over 100,000 data points
 

Wi-Fi BLE RSSI SQI Localization dataset

 
Wi-Fi BLE RSSI for positioning / Indoor Localization in 4 different locations and using 18 different APs

Data is only measured at the Router Side

Data is not measured at client side

Has 12 datasets inside the zip folder with over 1,000,000 data points

# RSS data from smartwatch for Contact Tracing

This dataset was collected for the purpose to understand the proximity between any two smartwatches worn by human.

We used the Google's Wear OS based smartwatch, powered by a Qualcomm Snapdragon Wear 3100 processor, from Fossil sport to collect the data.

The smartwatch is powered by a Qualcomm Snapdragon Wear 3100 processor and has an internal memory of up to 1GB.

RSSI measurements collected by four anchors while receiving messages from a single mobile node transmitting advertisement and extended advertisement messages in all BLE channels (both primary and secondary advertisement channels).  Tests conducted in 10x10 m office area (no large obstacles), with 4 anchors located in the corners of the area.

Cite https://ieeexplore.ieee.org/document/9661373 when using this dataset in your work.