Received signal strength indicator (RSSI)

# 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.

 

 

Two volunteers were required to wear the smartwatch on different hand and stand at a certain distance from each other.

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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.

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This RSSI Dataset is a comprehensive set of Received Signal Strength Indicator (RSSI) readings gathered from three different types of scenarios. Three wireless technologies were used which consisted of:

  • Zigbee (IEEE 802.15.4),
  • Bluetooth Low Energy (BLE), and
  • WiFi (IEEE 802.11n 2.4GHz band).

The scenarios took place in three rooms with different sizes and inteference levels. For the experimentation, the equipment utilized consisted of Raspberry Pi 3 Model Bs, Gimbal Series 10 Beacons, and Series 2 Xbees with Arduino Uno microcontrollers.

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2721 Views

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.

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3738 Views