OpenThread Border Router Telemetry Poller: IoT Mesh Monitoring
Deterministic 802.15.4 Radio Inspection, MQTT State Ingestion & Live Mesh Topology Observability
Architectural Summary
Low-power IPv6 wireless mesh networks (Thread/Matter) require continuous link-quality and routing topology monitoring. This Python system daemon interfaces directly with an OpenThread Border Router (OTBR) container instance, parses neighbor tables via
ot-ctl, and streams real-time radio metrics (RSSI, Link Quality, MAC address, Frame Counters) to an MQTT broker for visualization in Grafana.
graph LR subgraph Thread Wireless Mesh A[Matter Node 1] <--> B[Matter Node 2] B <--> C[OTBR Radio Co-Processor] end subgraph Host Execution Layer C <--> D[Docker Container: otbr-daemon] E[otbr_poller.py<br><i>Python Daemon</i>] <-->|docker exec ot-ctl| D end subgraph Telemetry Core E -->|Publish JSON Metrics| F[Eclipse Mosquitto MQTT] F --> G[Telegraf / InfluxDB] G --> H[Grafana Dashboard] end
1. Engineering Highlights
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Deterministic Radio Inspection:
- Uses non-blocking subprocess calls to query
ot-ctl neighbor tableandot-ctl router table. - Sanitizes ANSI terminal output and parses raw hex MAC addresses, RSSI (dBm), Link Quality In/Out metrics, and age intervals.
- Uses non-blocking subprocess calls to query
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Resilient MQTT State Publishing:
- Formats telemetry into structured JSON payloads with automatic reconnection backoff.
- Emits Home Assistant-compliant MQTT discovery payloads allowing auto-provisioning of device sensors.
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Production Deployment:
- Deployed as a systemd service on the host node (
llmadmin01) with automatic crash recovery, logging directly to journald.
- Deployed as a systemd service on the host node (
🔗 Related Architecture & Knowledge Graph
- Production Systems: Validated in Substrate Digital Nervous System, OpenWrt ASU Image Builder.
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- Technical Articles: Deep dive in Bare Metal Diagnostics Lessons.
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