Test-condition generation across MQTT, MQTT-SN and LoRaWAN, producing populations of simulated sensors and gateways on a single computer. It lets a platform be exercised against ten thousand devices before ten have been manufactured.
Platform behaviour at scale cannot be inferred from a bench with three devices on it. Ingest saturation, alerting storms, database growth, dashboard performance under load and the behaviour of retry logic when a thousand devices reconnect simultaneously are all emergent, and all expensive to discover in production.
The simulator generates the population instead. Multiple simulated sensors and gateways on one computer, publishing at configurable rates with scripted payload behaviour, so a device fleet exists in test long before it exists in the field.
On the LoRa side, simulated devices generate frames that a gateway encapsulates and forwards to a network server, with downstream payloads extracted and returned over UDP. Signal strength, signal-to-noise ratio and channel can be specified per gateway, so degraded conditions can be reproduced deliberately rather than waited for.
| Parameter | Detail |
|---|---|
| MQTT | Versions 3.1 and 3.1.1, with subscription and message capture for replay |
| MQTT-SN | For constrained sensor networks with compact packet encoding |
| LoRa | Gateway and device simulation, frames forwarded to a network server over UDP |
| LoRaWAN | 1.0.3 Class A and C framing |
| Activation | Over-the-air activation and activation by personalisation |
| Per-gateway control | Signal strength, signal-to-noise ratio and channel |
| Payload | Scriptable, so realistic population variation can be generated |
| Typical markets | Engineering teams, QA, platform development |
Maturity — silicon-proven, FPGA-validated or RTL stage — is confirmed at enquiry for the specific configuration you need, rather than claimed generically here.
Send the target node, the interface requirements and the integration context. If this is not the right fit, that will be said early rather than discovered at integration.
MQTT versions 3.1 and 3.1.1 with subscription and message capture for replay, MQTT-SN for constrained sensor networks, and LoRa gateway and device simulation supporting LoRaWAN 1.0.3 Class A and C with both over-the-air activation and activation by personalisation.
Yes. Signal strength, signal-to-noise ratio and channel can be specified per gateway, so poor conditions are reproduced deliberately rather than waited for in the field.
Because the failures that matter are emergent at scale — ingest saturation, alert storms, simultaneous reconnection — and they cannot be reproduced on a bench with three devices, nor discovered cheaply in production.
Tell us the specification, the constraint and the deadline. Programmes that cross silicon, radio, embedded and AI are where Faststream is strongest.