The Raspberry Pi 4B is a compact, low-cost single-board computer featuring a Broadcom BCM2711 quad-core processor and built-in Wi-Fi capabilities, commonly deployed in CSI sensing research as a receiver node for capturing and processing Channel State Information. Its significance to the field lies in its compatibility with tools such as the Nexmon CSI Extractor, which enables fine-grained per-frame CSI extraction from its onboard Broadcom Wi-Fi chipset, making it a practical and accessible platform for passive sensing experiments. In multi-zone occupancy estimation studies, it serves as a dedicated CSI receiver, offering sufficient computational resources for real-time data collection while remaining suitable for unobtrusive deployment in residential or indoor environments.
Source Papers
- CSI-Based NTC Using Ambient WiFi: Channel Selection, Topology Control and Traffic Interference ↗ — CSI-Based NTC Using Ambient WiFi: Channel Selection, Topolog
- Free Your CSI ↗ — Free Your CSI
- Guiding Wi-Fi Sensor Placement for Enhanced CSI-Based Sensing in Stationary Crowd Counting ↗ — Guiding Wi-Fi Sensor Placement for Enhanced CSI-Based Sensin
- Implementing Wi-Fi CSI-based room-level occupancy Estimation: an experimental study in multi-zone residential environments ↗ — Implementing Wi-Fi CSI-based room-level occupancy Estimation
- Towards Energy Efficient Wireless Sensing by Leveraging Ambient Wi-Fi Traffic ↗ — Towards Energy Efficient Wireless Sensing by Leveraging Ambi