Z-Wave SDK 8.0 | Adaptive Power for 1024 Battery-Powered LR Nodes

With the release of Z-Wave SDK 8.0 (SISDK 2025.12.0), Silicon Labs is delivering more than feature updates. This release reflects sustained architectural investment in RF algorithms, power systems, and protocol intelligence, backed by a dedicated Z-Wave engineering team focused on advancing the ecosystem.

Z-Wave SDK 8.0: Power Architecture Designed for More Flexibility and Optimizations

The Z-Wave SDK 8.0 introduces a structural shift in how radio state and energy modes interact, enabling tighter coordination between the stack and hardware.

The radio state is decoupled from energy modes within the stack and Zpal. This makes it possible for customers to use preferred energy modes without compromising the Z-Wave radio operations. It also provides users with additional processing flexibility.

An EM1P power state is enabled for radio background RX operations, resulting in improved power consumption compared to the previous EM1 mode. Entropy generation is now fully handled by the hardware TRNG, improving overall security. In the Never Listening role-type, the OEM (or application builder) can manage EM4 transitions through a dedicated software component, allowing for customized low-power behavior as needed.

These changes give OEMs predictable energy behavior, cleaner state transitions, and improved long-term battery performance across product generations.

Z-Wave SDK 8.0: Long Range Scaling to 1024 Nodes

The Long-Range Tx Power Algorithm has been fundamentally redesigned to enable deterministic performance at scale with full support for leveraging dynamic power algorithm across 1024 nodes.

Z-Wave SDK 8.0: Intelligent Network Behavior Under Load

As networks grow, static assumptions begin to limit performance. SDK 8.0 introduces a more intelligent approach to throughput management, with network-composition-aware dynamic speed selection that improves congestion handling and supports higher device density and traffic demands. It moves beyond the fixed 9.6 kbps assumptions while remaining fully backward-compatible with existing deployments, marking the first milestone in a broader congestion management roadmap.

This evolution prepares Z-Wave networks for higher device density and increasing traffic demands, signaling continued protocol-level innovation rather than maintenance.

The Z-Wave SDK 8.0 also features cross-layer engineering improvements, including reduced context switching to improve FLiRS transition timing, as well as enhancements to the Packet Trace Interface (PTI) configuration.

A Clear Signal to the Z-Wave Ecosystem

Silicon Labs isn’t just participating in the Z-Wave ecosystem. We are actively setting its technical direction.

The latest Z-Wave SDK delivers 1024-node scale, deterministic RF optimization, power improvements, and adaptive congestion handling, which requires coordinated work across RF algorithms, stack architecture, and power systems.

That level of advancement reflects sustained technical focus on evolving the Z-Wave platform for long-term ecosystem growth. For more information, read the Z-Wave SDK Version 8.0.0 Release Notes and the latest API documentation.