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Location estimation using GPS on node.

Sending GPS-coordinates through LoraWAN

Python-script dat subscribed op een MQTT-topic. RSSI waarden van alle access points inleest en deze opslaat.
| Fingerprint ID | Gateway 1 | Gateway 2 | Gateway 3 | Gateway 4 | Location ID |

Also map the "danger zone" in the training data. If the location maps to this zone, the node is no longer within the allowed boundaries (this can still be indoor, the corridor for example), thus we make the context switch to outdoor localization (LoRaWAN + GPS).

Send periodic DASH 7 when outdoors. When server receives our dash 7 broadcasts make server tell node to stop GPS-tracking through LoraWAN. Work with perimeter to limit the amount of Dash 7 messages sent.

Interfacing code voor met de MURATA te kunnen transmitten en receiven.

Make server tell node to switch GPS on and start broadcasting GPS coordinates

Once the location of the node has been determined, we need to check if the node is within the allowable perimeter or not. If not, we should get a notification (preferably over ThingsBoard).

The node needs to send a periodic message to the gateways which will receive a specific RSSI.

Code on the VM that does the pattern-matching algorithm KNN in Python.