Part one of this series looked at sensor telemetry over Reticulum, and landed on a specific trade-off: Reticulum gives you cryptographic primitives (Destinations, Links, LXMF’s delivery methods) and leaves the shape of a telemetry deployment up to you. MeshCore takes the opposite approach. It has an actual sensor node role, a standard payload encoding, and a query model built around telemetry specifically, not general-purpose messaging repurposed for it.

LPWAN Meshes: Reticulum, Where I Landed covered Reticulum as a communications stack: transport-agnostic, cryptographically addressed, built for chat and file transfer over LoRa, packet radio, or whatever medium is available. This post is narrower on purpose: it breaks down the specific mechanics of moving a sensor reading, not a conversation, through Reticulum: which delivery method to pick, what a reading actually costs in packets and bits per second, and what already exists in the open-source community to build on rather than reinvent.

Earlier this year, in The Hidden World of Corporate IoT Spying, I looked at how consumer gadgets quietly turn personal spaces into corporate data collection nodes: robot vacuums mapping living rooms for foreign servers, smart TVs cataloguing every frame you watch, and Eufy security cameras quietly beaming unencrypted thumbnails and facial identifiers to the cloud despite marketing slogans promising “local storage for your eyes only.”

Seven months later, that trajectory has only accelerated. The news cycle around domestic cameras and automated surveillance has moved from occasional security quirks to systemic betrayal.