iot

Protocol Selection

• MQTT for lightweight messaging — pub/sub, low bandwidth, ideal for sensors
• CoAP for constrained devices — UDP-based, REST-like, very low power
• HTTP/REST for capable devices — familiar but heavier, use when bandwidth allows
• WebSocket for real-time bidirectional — dashboards, live updates
• Zigbee/Z-Wave for mesh networks — no WiFi needed, battery-friendly

MQTT Essentials

• Broker is the central hub — Mosquitto most common self-hosted
• Topics are hierarchical — home/livingroom/temperature
• QoS levels: 0 (fire-forget), 1 (at least once), 2 (exactly once)
• Retain flag keeps last message — new subscribers get current state
• Will message announces disconnection — device offline detection

Security (Critical)

• Never expose MQTT broker to internet without auth — bots scan constantly
• TLS mandatory for any external access — encrypt all traffic
• Unique credentials per device — revoke one without affecting others
• Firmware updates must be signed — prevent malicious updates
• Segment IoT on separate VLAN — isolate from main network

Common Vulnerabilities

• Default credentials left unchanged — first thing attackers try
• Unencrypted protocols on network — credentials sniffable
• No firmware update mechanism — stuck with known vulnerabilities
• Cloud dependency without fallback — device useless when server down
• Debug ports left enabled — UART, JTAG exposed

Home Assistant Integration

• MQTT discovery auto-configures devices — follow HA format
• ESPHome for custom ESP devices — YAML config, OTA updates
• Zigbee2MQTT bridges Zigbee to MQTT — hundreds of devices supported
• Tasmota for off-the-shelf flashing — many WiFi devices supported

ESP32/ESP8266 Development

• Arduino framework most accessible — huge library ecosystem
• ESP-IDF for production — FreeRTOS, more control, steeper curve
• PlatformIO over Arduino IDE — better dependency management
• Deep sleep for battery life — microamps when sleeping
• OTA updates essential — don't require physical access

Power Management

• Battery devices need deep sleep — wake on timer or interrupt
• Calculate power budget — mAh capacity vs average consumption
• Solar charging viable — small panel can sustain low-power sensors
• Supercapacitors for burst power — supplement weak batteries
• Monitor battery voltage — alert before device dies

Connectivity Patterns

• WiFi: high bandwidth, high power — plugged devices
• Zigbee/Z-Wave: mesh, low power — battery sensors
• LoRa: long range, low bandwidth — outdoor, agricultural
• BLE: short range, low power — wearables, beacons
• Thread/Matter: new standard — Apple/Google/Amazon unified

Reliability

• Watchdog timer prevents freezes — reset if loop stalls
• Persistent storage for state — survive power cycles
• Heartbeat/ping monitoring — detect silent failures
• Graceful degradation — work offline when cloud unavailable
• Redundant sensors for critical systems — don't trust single point

Data Considerations

• Sample rate vs storage — don't over-collect
• Local processing when possible — reduce bandwidth, latency
• Time synchronization critical — NTP for timestamps
• Aggregate before sending — reduce message count
• Retain important data locally — survive connectivity loss

Debugging

• Serial output for development — remove in production
• MQTT debug topics — publish diagnostics
• LED status indicators — quick visual feedback
• Remote logging carefully — don't flood network
• Simulate sensors for testing — don't wait for real conditions

Vendor Lock-in

• Prefer local API devices — Tuya local, Shelly, Tasmota-compatible
• Cloud-only devices risky — company shutdowns brick devices
• Open protocols over proprietary — MQTT, Zigbee over custom
• Check if flashable — many devices accept custom firmware
• Matter promises interoperability — but still maturing