API demo: A button to find a better location for a radio
Demonstration of using an RF modelling API installed on a Pi4 to help find a better location for radio communication.
When a radio loses communication due to obstacles, it's common for the operator to use up precious battery attempting impossible radio checks or to attempt trial and error with different locations. Both methods are inefficient and increase risk.
Using our modelling 'Points' API, we demonstrate how to exercise many locations quickly without moving or communicating. A radial search is performed at increasing radii until a workable link, defined in the script, is identified. In this demo, a threshold of -90dBm was declared workable and the radio was placed in a notorious signal black-spot.
The result is a simple recommendation of a bearing, distance and expected result based on modelling.
By installing the API as a docker container on a low power Pi, this capability can exist at the edge so even a radio which has fallen off the network can benefit from RF modelling, without generating network traffic.
API intro: https://cloudrf.com/documentation/api...
Example clients: https://github.com/Cloud-RF/CloudRF-A...