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Additionally, the script we've prepared allows you to set up a filter (that will be shown later on), which will make the KNOT ignore the payloads that the scanner captures unless the signal strength (RSSI) is stronger than the specified value. In the Bluetooth scanner example print shown above under the "Introduction" section, we can see that the KNOT sees one of the tags with an RSSI signal strength of -51 dBm (tag with a MAC address "DC:2C:6E:0F:C0:3D") and the other one with an RSSI signal strength of -49 dBm (tag with a MAC address "2C:C8:1B:4B:BB:0A"). So, if we apply a filter to the scriptto ignore all payloads that are received with signal strength (RSSI) weaker than -50 dBm, our KNOT would report that only tag "2C:C8:1B:4B:BB:0A" is within the Bluetooth range, because its RSSI is -49 dBm, and the second tag (with RSSI -51 dBm) will be ignored. What this means, essentially, is that you can "tweak" the "range" of reception. The actual signal strength will vary between different locations (as mentioned before, because of interference and surrounding materials), so it needs to be tested on sight.
Scenario example
To understand the scenario and the idea behind it better, take a look at the topology shown below (a warehouse implementation example):
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Bluetooth distances that you can see in the picture above, in real life will be much bigger (unless the signal-absorbing-reflecting materials are used inside the area or the RSSI filter is used in the script to help reduce the range of reception)! The scale of objects and Bluetooth operating ranges are just shown as an example, to help visually understand and imagine the topology. |
In this specific example, we have positioned 3 KNOTs to cover the whole warehouse area → KNOT A, KNOT B, and KNOT C.
Configuration
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This example will showcase access-token and one-way SSL communication via access-token scenarios for simplicity reasons, but you can use other available options as well. |
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