Compress near the sensor.
Useful when the device can collect enough aligned records and the radio link is the dominant constraint.
Embedded telemetry compression
Lossless compression for telemetry on constrained devices.
ZNano is designed for repeated structured records where memory, bandwidth, energy and predictable execution matter.
Embedded constraint
Move fewer bytes without discarding measurements.
Embedded telemetry often consists of fixed fields reported again and again: timestamps, device identifiers, counters, temperatures, positions and equipment states. When those records are aligned, recurring field-level patterns become available to a specialized compressor.
ZNano reduces the structured payload while keeping decode deterministic. It is lossless: the receiver reconstructs the original payload rather than an approximation of the measurements.
- Compact C SDK for native integration.
- Structured, fixed-width telemetry records.
- Exact reconstruction after decode.
- Protocol logic remains outside the codec.
Integration choices
Device, gateway or backend placement.
The correct location depends on available memory, batching latency, link cost and who controls each component.
Aggregate multiple records.
Useful when endpoint firmware must remain simple or a gateway already batches device telemetry.
Reduce storage and replay overhead.
Useful for deterministic decode, archival pipelines and integration experiments.
Engineering checklist
Test the constraints that matter in production.
A compression ratio alone is not an embedded deployment decision.
Verify field width, ordering and stability across realistic messages.
Balance the number of records per batch against reporting deadlines.
Measure code, stack, heap and buffer requirements on the target.
Benchmark encode cost against radio airtime and duty-cycle constraints.
Define framing, versioning, fallback and recovery outside the codec.
Verify byte-for-byte round trips with representative payload sets.
Boundaries
A codec, not an IoT protocol stack.
ZNano does not parse MQTT topics, LoRaWAN headers, Modbus semantics or security credentials. It operates on the structured application data supplied by the integration.
That boundary makes the codec transport-agnostic and keeps authentication, encryption, CRC handling and application validation in their appropriate layers.
Strongest fit
- Repeated sensor or meter records.
- Stable field order and record width.
- Multiple aligned payloads per batch.
- Systems that require lossless recovery.
Next step
Benchmark your embedded telemetry.
Start with representative records, verify exact recovery and measure the full device-to-backend trade-off.