KPN LocationTag WS
A small device using WiFi scanning for localisation.
Supported network type(s):
KPNLORA
Device Specification ID:
kpn-locationtag-ws
Device Specification UUID:
2c05af48-434e-4806-a0f3-837360f4f3cb
+ LoRa Geolocation data
Add LoRa Geolocation data to messages where location could be calculated.
= Raw LoRa payload
Forward the raw LoRa payload and port number without decoding.
Expected SenML records
= Raw LoRa payload (v2)
Forward the raw LoRa payload and port number without decoding.
This decoder also decodes Geolocation and Local Gateway data.
The following SenML records can be present, amongst others:
Example SenML
SenML can be structured in different ways, and we do not guarantee the examples below will look the same as what you will receive on your Destination. To make sure you can handle the SenML optimally, take a look at our documentation about Understanding and Interpreting SenML Data.
= Raw LoRa payload Extended
Forward the raw LoRa payload and other metadata without decoding.
Expected SenML records
Raw LoRa payload Extended (v2)
Forward the raw LoRa payload and lora network metadata without decoding.
Fixes from '= Raw LoRa payload Extended':
LrrRSSI
is changed to anumber
.LrrSNR
is changed to anumber
.LrrESP
is changed to anumber
.
This decoder also decodes Geolocation and Local Gateway data.
The following SenML records can be present, amongst others:
Example SenML
SenML can be structured in different ways, and we do not guarantee the examples below will look the same as what you will receive on your Destination. To make sure you can handle the SenML optimally, take a look at our documentation about Understanding and Interpreting SenML Data.
› Decoded payload with WiFi scan results
Decoder for Streamline LoRa message type 0xF1.
› Decoded payload with WiFi scan results (v2)
Decoder for Streamline LoRa message type 0xF1.
This decoder also decodes Geolocation and Local Gateway data.
The following SenML records can be present, amongst others:
Example SenML
SenML can be structured in different ways, and we do not guarantee the examples below will look the same as what you will receive on your Destination. To make sure you can handle the SenML optimally, take a look at our documentation about Understanding and Interpreting SenML Data.
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