Part one and part two of this series covered how Reticulum and MeshCore actually move a sensor reading: LXMF’s delivery methods and Propagation Nodes on one side, a purpose-built sensor role and CayenneLPP encoding on the other. Both are genuinely decentralised, no shared infrastructure required beyond the nodes themselves. This closing part asks the question that decides whether that matters for a given deployment: what does the alternative, LoRaWAN, actually require to do the same job?

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.