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With the release of Aliro 1.0, the Connectivity Standards Alliance (CSA) has taken another step in its mission to unify the smart home, this time by expanding access control across smart locks and ecosystems. Aliro is a standardized credential and communication protocol that enables devices to make access decisions, bringing true tap-to-unlock functionality to consumers. Now, instead of pulling out your phone, opening an app, waiting for it to load, and finding the unlock button, tap-to-unlock works instantly. The experience becomes faster and hassle-free, similar to using a contactless payment card. It also helps device makers accelerate development with a proven, ready-to-build platform designed for secure credentials, flexible connectivity options, and low-power performance.

Durin, Inc. is one of the first device makers to support the new application layer with the recent launch of its Durin Door Manager. The next-generation device works with existing smart locks and features the Silicon Labs MG24 wireless SoC. With the MG24, Durin can validate credentials and protect keys on a single secure wireless platform while the integrated cryptography accelerator keeps performance fast for end users.

Aliro: One Standard for Digital Keys Across Wallets

Beyond making the smart lock user experience smoother, Aliro provides a standardized way to access digital smart wallets across brands. Previously, implementing this required separate processes for Google Wallet, Samsung Wallet, and Apple’s HomeKit/HomeKey, often resulting in added complexity and fees. With Aliro, ecosystem providers can simplify the experience for home users by letting digital keys live directly in the phone’s digital wallet. Users just tap their phones to the reader, with no need to open a separate app or go through multiple steps.

Silicon Labs Accelerates NFC Tap-to-Unlock Access with Integrated Crypto and Wireless Performance

Silicon Labs is helping simplify development by integrating NFC directly into its SDK for Aliro-enabled solutions. This includes a tested and validated NFC transceiver driver, along with hardware-accelerated encryption and secure key management on all Silicon Labs Matter-enabled devices, giving developers confidence and reducing integration effort.

All tap-to-unlock and supporting features, including support for step-up authentication requirements, are included in Silicon Labs’ standard SDK release, making it possible to perform key validation and Access Document verification in a single NFC transaction. Because tap-to-unlock is a core requirement for Aliro certification, this integrated approach gives manufacturers a streamlined, secure path to compliance and a faster time-to-market.

Tap-to-unlock is the baseline requirement for Aliro certification, but our multiprotocol platform also enables true hands-free access, as with the Durin Door Manager.

Aliro is Unlocking New Areas in Access Control

Matter is foundational to hands-free access for commissioning devices, enabling advanced features like digital keys that allow access during specific windows of time. It also makes it so that homeowners don’t have to use different apps from various lock manufacturers. Until now, access control has been fragmented, requiring specific apps supplied by lock manufacturers. To unlock the front door, users are required to open the app that corresponds to the lock. Even in cases where tap-to-unlock is available, launching an app is necessary to gain access. When locks are tied to a single ecosystem, it limits the benefits for users. With Aliro, homeowners can change platforms or ecosystem providers without replacing their lock. And households that include Android users and Apple users can share the same seamless experience. That cross-ecosystem consistency and long-term flexibility are key.

Before Aliro, developers were required to engage every ecosystem provider individually, which included building separate firmware and software integrations as well as paying for access. Now, one implementation can work broadly across devices. This reduces costs for R&D and certification, and cuts time to market.

Bank-Grade Cryptography for Tap-to-Unlock

With Aliro, the security model is very similar to what people already trust for tap-to-pay. When you tap your phone to a lock, you’re using the same class of bank-grade cryptography that includes public and private keys securely stored on the device. As the NFC interaction happens, Aliro runs a rapid sequence of cryptographic checks, which consists of multiple key exchanges happening in just milliseconds. This includes five separate transactions, including verifying the credentials and proving that the device and the lock both hold the correct key pair. Only after that verification does access get granted. Being able to perform these calculations fast is required for a true tap-to-unlock experience. Silicon Labs’ Matter-enabled devices can execute Aliro’s cryptographic exchanges in milliseconds, combining optimized hardware security, low-latency NFC, and efficient wireless stacks to make tap-to-unlock feel instant.

Why Silicon Labs’ Matter Hardware and Aliro Standard Win

Silicon Labs and Aliro are a good pairing because of our leadership position in advancing Matter and purpose-built hardware that accelerates encryption and decryption. This combination enables secure, low-latency authentication and access control without sacrificing power efficiency or user experience. In a market long defined by fragmented, proprietary approaches to mobile credentials and reader communication, Aliro is important. By establishing a common, secure foundation for how user devices and access points interact, the new Aliro standard reduces complexity, increases interoperability, and enables trusted access experiences that scale cleanly across ecosystems, form factors, and deployment models.

The fastest-growing products today are battery-powered, compact, and cost-sensitive, but building them is increasingly complex. Developers are under pressure to move quickly, minimize design risk, and deliver differentiated user experiences, all while working within tight power and size constraints.

This is driving strong adoption of pre-integrated, certified 2.4 GHz wireless modules as a way to reduce development cost, simplify system design, and accelerate time to market. A well-designed module eliminates the need to manage RF layout, component selection, and lengthy certification cycles, allowing teams to focus on real benefits: battery life, application features, sensor performance, and overall product differentiation.

Introducing xGM270S Wireless SiP Modules

Silicon Labs’ xGM270S wireless module family is purpose-built for this reality. These ultra-compact system-in-package (SiP) modules combine a high-performance wireless SoC, large on-chip memory, integrated RF components, and global regulatory certifications into an exceptionally small footprint. Compared to traditional PCB-based modules, xGM270S enables smaller end products, faster development cycles, and lower overall system cost, all without compromising performance or flexibility.

BGM270S: Enabling More Bluetooth LE Applications in a Compact SiP Module

The BGM270S targets a broad set of Bluetooth (LE) end-node applications, including smart home devices, asset tracking and fleet monitoring, access control, industrial automation, sport and wellness products. With a compact 6.5 × 6.5 mm LGA SiP footprint, it’s well suited for space-constrained designs where fast integration and predictable development cycles are critical.

In industrial environments, the BGM270S Bluetooth LE module works well as a controller for sensors such as temperature, pressure, and water flow. For asset tracking tags, it enables reliable connectivity with long battery life, and for portable medical devices, including oximeters and other handheld diagnostic tools, it provides a practical path to connected health monitoring and data collection. In designs with sufficient PCB area to benefit from a fully integrated module, BGM270S SiP module simplifies RF design, reduces development risk, and accelerates time to market.

MGM270S: Speeds Time to Market for Zigbee Green Power Devices

Long battery life is important for IoT end devices, but at scale—such as commercial buildings with thousands of deployed sensors—battery replacement becomes a significant operational cost. This is where the MGM270S stands out with support for Zigbee Green Power and battery-less operation.

With 768 kB of Flash and 64 kB of RAM, the MGM270S Zigbee module provides the memory footprint needed to support Zigbee Green Power while optimizing overall system cost. Its low RX and TX current enables operation from a wider range of ambient energy sources, and the compact SiP form factor makes it ideal for space-constrained devices such as sensors and switches. Combined with global regulatory certifications, MGM270S reduces both development effort and time to market for Zigbee Green Power designs.

xGM270S Wireless SiP Modules: Differentiation That Accelerates Time to Market

Across competing 2.4 GHz module offerings in this class, customers often see similar connectivity features. Where xGM270S stands out is in its combination of an ultra-compact SiP footprint, support for both Bluetooth LE and Zigbee Green Power, and the practical advantage of global certifications and production-ready software. Together, these features reduce development risk and shorten the path from prototype to production.

For customers building smart home devices, patient health monitors, or Zigbee Green Power solutions, the xGM270S value proposition is simple: enable secure, reliable wireless connectivity while keeping system costs low and accelerating time to market—without spending months becoming wireless experts.

Explore the xGM270S wireless SiP module family (BGM270S and MGM270S) to see how quickly you can bring your next connected product to life.

The fastest-growing products today are battery-powered, compact, and cost-sensitive, but building them is increasingly complex. Developers are under pressure to move quickly, minimize design risk, and deliver differentiated user experiences, all while working within tight power and size constraints.

This is driving strong adoption of pre-integrated, certified 2.4 GHz wireless modules as a way to reduce development cost, simplify system design, and accelerate time to market. A well-designed module eliminates the need to manage RF layout, component selection, and lengthy certification cycles, allowing teams to focus on real benefits: battery life, application features, sensor performance, and overall product differentiation.

Introducing xGM270S Wireless SiP Modules

Silicon Labs’ xGM270S wireless module family is purpose-built for this reality. These ultra-compact system-in-package (SiP) modules combine a high-performance wireless SoC, large on-chip memory, integrated RF components, and global regulatory certifications into an exceptionally small footprint. Compared to traditional PCB-based modules, xGM270S enables smaller end products, faster development cycles, and lower overall system cost, all without compromising performance or flexibility.

BGM270S: Enabling More Bluetooth LE Applications in a Compact SiP Module

The BGM270S targets a broad set of Bluetooth (LE) end-node applications, including smart home devices, asset tracking and fleet monitoring, access control, industrial automation, sport and wellness products. With a compact 6.5 × 6.5 mm LGA SiP footprint, it’s well suited for space-constrained designs where fast integration and predictable development cycles are critical.

In industrial environments, the BGM270S Bluetooth LE module works well as a controller for sensors such as temperature, pressure, and water flow. For asset tracking tags, it enables reliable connectivity with long battery life, and for portable medical devices, including oximeters and other handheld diagnostic tools, it provides a practical path to connected health monitoring and data collection. In designs with sufficient PCB area to benefit from a fully integrated module, BGM270S SiP module simplifies RF design, reduces development risk, and accelerates time to market.

MGM270S: Speeds Time to Market for Zigbee Green Power Devices

Long battery life is important for IoT end devices, but at scale—such as commercial buildings with thousands of deployed sensors—battery replacement becomes a significant operational cost. This is where the MGM270S stands out with support for Zigbee Green Power and battery-less operation.

With 768 kB of Flash and 64 kB of RAM, the MGM270S Zigbee module provides the memory footprint needed to support Zigbee Green Power while optimizing overall system cost. Its low RX and TX current enables operation from a wider range of ambient energy sources, and the compact SiP form factor makes it ideal for space-constrained devices such as sensors and switches. Combined with global regulatory certifications, MGM270S reduces both development effort and time to market for Zigbee Green Power designs.

xGM270S Wireless SiP Modules: Differentiation That Accelerates Time to Market

Across competing 2.4 GHz module offerings in this class, customers often see similar connectivity features. Where xGM270S stands out is in its combination of an ultra-compact SiP footprint, support for both Bluetooth LE and Zigbee Green Power, and the practical advantage of global certifications and production-ready software. Together, these features reduce development risk and shorten the path from prototype to production.

For customers building smart home devices, patient health monitors, or Zigbee Green Power solutions, the xGM270S value proposition is simple: enable secure, reliable wireless connectivity while keeping system costs low and accelerating time to market—without spending months becoming wireless experts.

Explore the xGM270S wireless SiP module family (BGM270S and MGM270S) to see how quickly you can bring your next connected product to life.

LAS VEGAS, Jan. 5, 2026 /PRNewswire/ — Silicon Labs (NASDAQ: SLAB), the leading innovator in low-power wireless, is showcasing a comprehensive portfolio of IoT advancements at CES 2026. Through live technical demonstrations, engineering-led presentations and key product introductions, the company is underscoring why developers worldwide rely on Silicon Labs to build secure, scalable, and energy-efficient connected devices.

At CES 2026, Silicon Labs is:

  • Launching the new Simplicity SDK for Zephyr, which brings Silicon Labs QA and support to one of the most popular real-time operating systems (RTOS) for embedded development.
  • Showcasing cutting-edge demonstrations, including Bluetooth Channel Sounding and single-chip wireless motor control using AI/ML.
  • Providing thought leadership across key ecosystem platforms, with Silicon Labs experts speaking and participating in events hosted by the Z-Wave Alliance, Thread Group, and Tuya Smart.
  • Powering partner innovations across the show, with Silicon Labs technology featured in products displayed in booths and meeting suites for AWS, Powercast, Durin, AIZIP, and many others throughout CES 2026.

CES has always been a place for companies to demonstrate how their products are pushing the cutting-edge of innovation. As these devices have become more complex, they require new software that can operate and meet the demands of their advanced applications. To meet that need, Silicon Labs is bringing one of the most popular open-source real-time operating systems to enterprise users.

Silicon Labs Open Source Expertise Extends to Zephyr

On the first day of CES, Silicon Labs announced the release and general availability of the Simplicity SDK for Zephyr. Zephyr has quickly become the go-to open RTOS for connected embedded systems, offering a portable, production-grade alternative to proprietary kernels. As a Platinum member of the Zephyr project, Silicon Labs brings deep open source expertise along with a broad portfolio of wireless protocol technologies, particularly in Bluetooth® LE and Wi‑Fi.

At large-scale IoT deployments — where devices may remain in the field for decades –manufacturers and users need long-term confidence in security, performance, and regulatory compliance. Open-source RTOS options do not always meet these requirements, which is why Silicon Labs is creating an enterprise-grade commercial package for Zephyr.

The new Simplicity SDK for Zephyr delivers:

  • Silicon Labs–maintained distribution of Zephyr: A vetted snapshot of the Zephyr codebase that passes Silicon Labs’ Quality Assurance processes, with additional features and full access to Silicon Labs’ standard support channels.
  • Launch-day wireless coverage: Initial support for Bluetooth LE across popular Silicon Labs SoCs and combined Wi‑Fi + Bluetooth on select devices.
  • Low-friction migration: Existing Zephyr applications can move to Silicon Labs devices with minimal firmware changes, accelerating time-to-market while preserving portability.
  • Faster onboarding: A dedicated Getting Started guide and developer journey reduces setup to a few commands—so teams can build, flash, and debug quickly on Silicon Labs hardware.

For more details on the Simplicity SDK for Zephyr visit “Introducing Simplicity SDK for Zephyr” on the Silicon Labs blog. Developers can begin with the Zephyr Getting Started guide and explore Silicon Labs’ extensive Zephyr resources on GitHub.

Read more about Silicon Labs’ presence at CES, including details on demos and speaking engagements, and see the Top Three Silicon Labs Things to Do at CES on the Silicon Labs blog.

About Silicon Labs

Silicon Labs (NASDAQ: SLAB) is the leading innovator in low-power connectivity, building embedded technology that connects devices and improves lives. The company provides highly integrated SoCs, software, and tools for smart home, industrial IoT, and smart city applications, helping device makers create advanced edge connectivity products. Headquartered in Austin, Texas, Silicon Labs operates in more than 16 countries. Learn more at silabs.com.

SOURCE Silicon Labs

Next week, hundreds of thousands of industry innovators will gather for CES 2026—the ultimate proving ground for breakthrough technologies. Devices are getting smarter, but we are excited to see just how visionary that intelligence has become at this year’s show.

Silicon Labs | CES

As the leading innovator in low-power wireless, Silicon Labs empowers these innovations to scale. We bring the breadth, depth, and focus necessary to help device makers build consumer products that are secure, intelligent, and ready for the real world.

We’ll be front and center in the action in our Silicon Labs Suite on the 3rd floor of the Venetian in Toscana 3710, and you can visit us at anytime during exhibition hours or request a meeting to reserve a time.

Silicon Labs Booth at CES

1. Silicon Labs Demos: Power and Precision for IoT Applications

We are featuring two demonstrations that showcase the full capabilities of our xG24 family of SoCs. Designed for the most demanding IoT applications, this platform combines high-performance processing, AI acceleration, and Secure Vault™ technology to handle complex workloads without compromise.

  • Motor Control Breakthrough with the MG24 SoC: Historically, driving a high-speed motor while maintaining a wireless connection required separate devices. We are challenging that architecture with a demo featuring our single MG24 SoC running a full closed-loop BLDC motor control system, controlled via a smartphone app, on a single chip.
  • Bluetooth® Channel Sounding: We are also demonstrating Bluetooth® Channel Sounding on the xG24, showing how this technology equips devices with “true distance awareness” to enable a new tier of secure, proximity-based applications.

See both demos live at the Silicon Labs Suite on Level 3 of the Venetian in Toscana 3710.

 

2. Customer Innovations Breaking the Mold

With thousands of Silicon Labs’ customers around the world, it’s no surprise that some of them would showcase at CES 2026. While there are too many to list, here are three you can’t miss:

  • Intelligent Sensing with Aizip (Booth #9021, LVCC North Hall) In partnership with Aizip, we are demonstrating how Edge AI can outperform traditional sensors by distinguishing between complex acoustic events in real time. Our AI-enabled glass break detection reference design addresses this by using a proprietary deep neural network to listen not just for the initial breaking of glass, but for the secondary impact of shards hitting surrounding surfaces.
  • Multi-factor Access Control with Durin, Inc (Booth #60462, Eureka Park): Check out the brand-new Durin Door Manager. Powered by the Silicon Labs MG24 SoC, this device moves beyond simple smart lock logs to provide true identity verification. By combining multi-factor confirmation with real-time entry snapshots, Durin eliminates the security gap of shared access codes and lets you know exactly who walked through the door, not just when it opened.
  • Battery-Free Sensors with Powercast (Booth #51716, Venetian Expo): Explore how battery-free innovation is redefining efficiency. Powercast is showcasing a battery-free RFID sensor powered by the Silicon Labs BB5 MCU, proving that extreme efficiency can eliminate the need for battery replacements in connected edge devices.

3. Leading the Conversation on Wireless Connectivity for the Smart Home

  • Parks Associates CONNECTIONS Summit at CES (Tuesday, January 6, 9:00 am PT, Lando 4304, Level 4, The Venetian): Colin Cureton, Product Line Manager at Silicon Labs, joins the opening panel of Parks Associates’ CONNECTIONS Summit at CES, “Beyond the Buzz: AI Impact and Revenues in the Smart Home,” to discuss how applications, business models, and revenue streams have been affected by AI.
  • Z-Wave @ CES (Tuesday, January 6, 4:00pm PT, Titian 2205, Level 2, The Venetian): Silicon Labs Senior Field Application Engineer Mark Umina will be participating in a fireside chat in the Z-Wave Alliance ballroom discussing how smart locks can use Z-Wave for user credential verification. He will also be showing how Z-Wave Long Range can complement Amazon Sidewalk to seamlessly communicate across both networks for an interoperable smart home using a single Silicon Labs SoC.
  • Tuya Developer Day (Wednesday, January 7, 3:10 pm PT, LVCC, Central Hall, Booth #16838): Colin Cureton, Product Line Vice President for the Home Business at Silicon Labs, takes the stage with during Tuya Developer Day to discuss how Silicon Labs’ hardware is enabling the next generation of interoperable, AI-ready applications.

 

We can’t wait to see everyone at CES 2026! Stop by our suite, Toscana 3710 on the third floor of the Venetian or request a meeting, and be sure to follow us on LinkedIn, Instagram, and Twitter for live updates from the show

Picture a pallet of goods is loaded onto a truck, on a journey that will take it across a continent or maybe across oceans. It’s equipped with GPS and cellular tracking during transit, but the moment it enters a warehouse, that visibility vanishes. GPS can’t penetrate walls, and cellular triangulation loses accuracy indoors, especially in dense or signal-shielded environments like warehouses or hospitals. Our pallet is still there, but digitally, it’s gone dark.

This is where Wi-Fi steps in, but not in the way we’re used to. This isn’t about joining networks or streaming data. Instead, we’re talking about sensing presence, passively observing signals in the environment, and turning that information into location intelligence.

No handshakes. No connections. Just smart scanning. At Silicon Labs, we’ve built hardware that makes this model not only possible but also practical.

What is Wi-Fi Asset Tracking and How Does It Work?

Instead of depending on heavy infrastructure or GPS alone, positioning with Wi-Fi works by scanning for surrounding SSIDs and determining signal strength to estimate location. This means your devices don’t have to associate with a network, they just need to recognize that they’re near one.

Asset Tracking Device Diagram

Our SiWx917 Wi-Fi 6 ultra-low-power wireless MCU can cold boot and SSID scan all channels in about 5 seconds while consuming less than 50mA. The result is fast updates on location without draining the battery. Consider long-life sensors that only wake up when needed. But sensing alone isn’t enough.

The Cloud Knows the Way with our Wi-Fi Asset Tracking Solution

This is where the backend takes over. Once the SiWx917 identifies nearby SSIDs, that data gets pushed to the cloud via MQTT or another protocol. From there, cloud-based mapping, databases, etc. kick in. They match known SSIDs to real-world coordinates, giving you near real-time asset visibility, even indoors.

Wi-Fi Asset Tracking Without Connecting Diagram 2

This backend magic means facilities don’t need to install anything new. Your warehouse, hospital, or factory already has Wi-Fi. That existing infrastructure becomes your positioning system. No proprietary readers. Just the networks already deployed.

We handle the radio; you handle the maps.

That’s the beauty of this solution: it’s collaborative. We provide the silicon and the low-power intelligence. You bring your choice of the cloud, the dashboards, the data insights. Together, it becomes something greater, a full-coverage, multi-technology, fully visible platform that truly optimizes your return on investment of wireless tracker solutions.

You can track a container from factory to forklift. You can follow a medical cart from ICU to storage. You can monitor inventory on the move, through buildings, and blind spots. All using a chip that sips power and slips easily into your existing design.

And if you’re already using GPS and cellular? Great. Wi-Fi doesn’t replace them, it complements them. You can turn off the heavy radios when you don’t need them, hand off to Wi-Fi sniffing when you do. That flexibility is key to optimizing for both coverage and longevity.

Designing a Wi-Fi Asset Tracker: From Possibility to Deployment

We’ve taken this all the way to reference designs. The SiWx917 acts as a controller, working with GNSS, IMU sensors, and MQTT to push data to the cloud. In one of our hybrid builds, smart pallets were equipped with our Wi-Fi SoC to track transit through ships, trucks, and warehouses without ever joining a network. Just sensing. Just sending. Just working.

Wi-Fi Asset Tracking Without Connecting Diagram 3

The logistics company that implemented this deployment was able to add both Bluetooth LE and Wi-Fi with a single chip, extend battery life, and finally get eyes inside their own facilities.

Why Choose SiWx917 to Build a Wi-Fi Asset Tracker?

Easy. In addition to the features and benefits mentioned above, the SiWx917 Wi-Fi 6 ultra-low-power MCU is a fully integrated wireless solution giving you the functionalities and interfaces you need in Wi-Fi trackers. A few examples include:

  • Integrated networking stack with TCP/IP, TLS, MQTT, and more simplifies integration with the cloud and location database.
  • Includes a rich set of peripherals and GPIO to tie together all the required components such as the GNSS/GPS, LTE/GSM, gyroscope/accelerometer, and an ambient sensor.
  • Large SRAM, PSRAM, and flash memory capacity accommodate all necessary firmware, application software, and location data while also leaving room for OTA updates.
  • Dedicated application MCU with up to 180MHz and an AI/ML accelerator remove the need for an additional standalone MCU, reducing your BoM, power consumption, and board footprint.
  • Wireless and networking stacks are run on a separate processor, increasing MCU sleep time and reducing power consumption.
  • Finally, our SiWx917 modules come with an antenna and regulatory certifications, simplifying your RF design and certification work and reducing the development costs and time.

Let’s Build your Wi-Fi Asset Tracking Device Together

If you’re working on asset visibility, indoor positioning, or real-time logistics, this changes the game. You already have Wi-Fi. Let’s use it better. This is where smart hardware meets smarter networks. Let’s build it together.

To learn more, download our whitepaper, “Wi-Fi Power Optimization Examples for Six IoT Devices” where wireless experts from Silicon Labs and Sigma Connectivity share their best-practice Wi-Fi power optimization guidelines for six IoT devices, including a connectionless Wi-Fi tracker.

Silicon Labs SiWx917 ultra-low-power Wi-Fi 6 SoC offers truly IoT-optimized Wi-Fi connectivity and was recently validated by an independent test house to provide multi-year battery life on IoT devices. Energy efficiency is a key criteria for many of our customers, but Wi-Fi’s reputation for being power-intensive has made IoT device makers skeptical about using it. This is one of the reasons we’re thrilled to announce our new SiWx917 power estimator. This tool makes it possible to estimate how much battery life you can squeeze out of the SiWx917, the lowest power Wi-Fi 6 chip available.

The SiWx917 Changed What’s Possible With Wi-Fi 6 Battery Life

It’s no wonder consumers and companies are craving more Wi-Fi IoT devices. They don’t require separate gateways or hubs,. you can simply connect them to your Wi-Fi access point (AP) and voilà, they are on the cloud, and in your favorite ecosystem.

Historically, the short battery life and recharging interval of Wi-Fi devices turned off some buyers. Then came the Silicon Labs SiWx917 ultra-low-power Wi-Fi 6 microcontroller, introducing energy-efficient Wi-Fi. Thanks to its extremely low connected sleep power consumption, multi-year battery life is now possible on Wi-Fi devices.

Despite its popularity in the market, we still hear doubts about whether multi-year battery life on Wi-Fi devices is realistic. To put an end to this debate, we SiWx917 Power Estimator, an online tool for estimating the battery life on your IoT device.

SiWx917 Tested to Deliver Multi-year Battery Life on Wi-Fi IoT Devices

The SiWx917, launched in 2023, was designed from the ground up for IoT-optimized Wi-Fi. It provides the lowest Wi-Fi 6 power consumption in its class for cloud-connected sleep mode, only 22µA. Its combined system power consumption for Wi-Fi 6 connected sleep and the application MCU in sleep is just 37µA. Its intelligent power management gives product developers more possibilities for optimizing Wi-Fi power for energy-efficient IoT applications. The ultra-low-power (ULP) peripherals allow sensor applications to operate while the rest of the chip is idle. The dedicated network wireless processor (NWP) independently manages wireless and networking operations, allowing the application MCU sleep. These, and many other power saving features on SiWx917 solve the battery life challenge for IoT device makers. As a matter of fact, Novus Labs, an independent testing provider, estimated that SiWx917 can enable smart locks to reach a 5-year battery life with four 3000mAh AA batteries.

However, achieving years of battery life on Wi-Fi IoT devices is not straightforward.

Can I Achieve Multi-year Battery Life on My Wi-Fi IoT Device?

We hear device makers asking this question frequently. The answer is yes, but Wi-Fi access points, physical environment, RF conditions, battery chemistry, application characteristics, and many, many other things. Most of these variables are beyond your control. They are derived by the environment where the device operates and the impact on your device’s battery life cannot be estimated in advance.

The SiWx917 Power Estimator allows you to estimate how your application characteristics will impact the battery life.

Estimating the Battery Life of Your Wi-Fi Device

The SiWx917 Power Estimator User Guide walks you through the application related variables affecting the battery life of your device, asking the relevant questions and facilitating your responses with multi-select drop down menus, default values, and value ranges. Here’s a snapshot of variables you are required to enter in the tool:

  • Memory configuration and the amount of RAM to be retained in sleep
  • Legacy power saving settings such as the delivery traffic indication message (DTIM)
  • Wi-Fi 6 Target Wake Time (TWT) sleep configurations for unassociated and associated connectivity modes, wake up interval and duration, network scanning and Wi-Fi beacon listening frequency, TCP/IP keep-alive period, etc.
  • In application processor configuration you can enable or disable the Cortex-M4 application microprocessor, and define its activity period and duration
  • Data transfer configurations allow you to configure the optimal TCP keep-alive interval, frequence and duration of transmit and receive operations, etc.
  • In the peripheral configuration section, you can simulate the power consumption effect of various peripherals such as humidity and temperature sensor and LCD display/li>

IoT-optimized Wi-Fi is about More than just Battery Life

We hope our new SiWx917 power estimator tool will help you to estimate how well your Wi-Fi device will score on one of the most critical IoT metrics, battery life.

However, IoT is about much more than just low power consumption and battery life. The SiWx917 was designed for IoT-optimized Wi-Fi connectivity, meeting the requirements of the future IoT, such as powerful compute, large memory, robust security, AI/ML acceleration, ecosystem support, and a broad set of peripherals. Learn about our IoT-optimized Wi-Fi solutions!

AUSTIN, Texas, Oct. 2, 2025 /PRNewswire/ — Silicon Labs (NASDAQ: SLAB), the leading innovator in low‑power wireless, today announced at its Works With Summit event in Austin, TX, the general availability of the first products in its new Series 3 platform: the SiMG301 and SiBG301 SoCs. The devices, the first in the SixG301 family, are now shipping from Silicon Labs and authorized distribution partners worldwide.

Series 3 extends Silicon Labs’ leadership at the intelligent edge, delivering generational gains in compute, connectivity, integration, and security while complementing the company’s proven Series 2 platform. Device makers can continue to build on Series 2’s breadth and maturity for ultra‑low‑power endpoints, and adopt Series 3 for more demanding, and feature‑rich designs—without changing ecosystems, tools, or support models.

“SiMG301 and SiBG301 bring Series 3’s compute and integration with the world’s first PSA Level 4 security, giving customers a stronger foundation for long‑lived, secure IoT,” said Ross Sabolcik, Senior Vice President of IoT Products at Silicon Labs. “With SiMG301 among the first in the Alliance’s Matter Compliant Platform Certification program, teams can deliver feature‑rich, Matter‑certified products faster with pre‑tested core functionality and a clearer certification path.”

What’s new in Series 3 and the SixG301 family

Built on an advanced 22 nm process, Series 3 introduces a multi‑core architecture that separates application, wireless, and security workloads, providing headroom for growing protocol stacks and emerging compute-intensive use cases at the edge. The SixG301 family consists of:

  • SiMG301 (Multiprotocol): Concurrent Zigbee®, Bluetooth® LE, and Matter over Thread; ideal for smart lighting, and other Matter-focused switches, sensors, and controllers. An integrated LED pre‑driver reduces external components, BOM cost, and board space in line‑powered designs.
  • SiBG301 (Bluetooth‑Optimized): Tailored for Bluetooth LE applications that benefit from Series 3 compute and security, with an easy migration path from Series 2 Bluetooth designs.

Both devices offer developers generous Flash/RAM headroom with up to 4 MB Flash and 512 kB RAM. They both include Silicon Labs’ PIXELRZ single wire communication interface for LED controller ICs as well as a LED pre-driver that enables low level and consistent dimming, which together simplify designs, reduce costs, and provide efficient power for smart home lighting, smart building lighting, and other lighting applications.

Silicon Labs Quickens Time to Market for Matter Devices

The SiMG301 is among the first devices included in the Connectivity Standards Alliance’s new Matter Compliant Platform Certification program. A Matter Compliant Platform is a tested combination of SDK and designated hardware that has been certified by the Alliance for core Matter functionality.

By building on a certified platform, device makers can inherit pre‑tested commissioning, networking, and message security, significantly reducing the number of tests required for end‑product certification. Teams can also take advantage of the Alliance’s Fast Track and Rapid Recertification programs when the underlying platform remains unchanged, shortening development cycles and lowering costs. Products built this way are referred to as Derived Matter Products (DMPs).

“Since Matter’s inception, Silicon Labs has been a leading contributor and reliable partner to the Alliance, helping drive robust implementations, real‑world interoperability, and taking a central role in creating the Matter Compliant Platform Certification program” said Jon Harros, Global Head of Certification at the Connectivity Standards Alliance. “Having SiMG301 among the first in the program underscores that leadership and gives device makers a proven foundation to ship secure, feature‑rich Matter products faster.”

Silicon Labs’ Series 2 MG24 and MG26 SoCs will also be included in the Matter Compliant Platform Certification program.

Security that Leads the Industry: World’s First PSA Level 4 Certification

Security is foundational to Series 3. Series 3 Secure Vault, debuting with the SixG301 family, has achieved the world’s first PSA Level 4 certification, the highest level recognized by PSA Certified and addresses advanced physical attacks.

This certification validates Silicon Labs SoCs equipped with Series 3 Secure Vault, like the SiMG301 and SiBG301, for resilience against laser fault injection, side-channel analysis, micro-probing, and voltage manipulation. This raises the bar for edge protection and supports alignment with tightening global regulations. The certification followed independent lab evaluation.

Built on Silicon Labs’ Series 2 security legacy, Series 3 Secure Vault includes a hardened root of trust, lifecycle controls, and secure OTA update support for products expected to live in the field for years. Silicon Labs’ Secure Vault’s features help developers reach compliance with emerging regulations including the EU’s RED and CRA and the U.S. Cyber Trust Mark, among others.

Availability and developer enablement

SiMG301 and SiBG301 are available today from Silicon Labs and authorized distributors. Developers can access evaluation kits, reference applications, and a guided Matter Developer Journey—including certification checklists and lab‑ready test projects—to accelerate product development and certification.

Learn more:

About Silicon Labs

Silicon Labs (NASDAQ: SLAB) is the leading innovator in low‑power connectivity, building embedded technology that connects devices and improves lives. Merging cutting‑edge technology into the world’s most highly integrated SoCs, Silicon Labs provides device makers with the solutions, support, and ecosystems needed to create advanced edge connectivity applications. Headquartered in Austin, Texas, Silicon Labs has operations in over 16 countries and is the trusted partner for innovative solutions in smart home, industrial IoT, and smart cities markets. Learn more at www.silabs.com.

Energy Harvesting is the process of capturing, transforming, and storing energy from various ambient sources like solar power, RF waves, and physical vibration. This technology plays an essential role in the foundation of ambient IoT, a new generation of ultra-low power connected devices that operate by drawing energy from their environment instead of relying on traditional batteries.

By eliminating the need for batteries, energy harvesting technologies are transforming IoT devices by improving scalability, extending the lifespan of devices, increasing reliability, and reducing maintenance and costs associated with frequent battery replacement. These advancements also contribute to a more sustainable future of IoT by significantly lowering the detrimental impact that batteries have on the environment.

Common applications suited for Energy harvesting include smart home devices like wireless switches and locks, smart buildings, asset tracking, smart metering, and factory automation.

Light-based energy harvesting through photovoltaic (PV) technologies is leading the way, thanks to its ease of integration, reliability, and consistent performance in both indoor and outdoor environments.

Challenges of Energy Harvesting

An estimated 15 billion batteries are discarded every year, creating a significant ecological footprint. Ambient IoT addresses this environmental impact as well as the logistical challenges of battery-powered devices. Harvesting energy and battery-less solutions reduces waste and enables longer device life, making it ideal for applications like asset tracking, smart agriculture, and industrial monitoring.

However, adopting energy harvesting technologies, particularly PV-based energy harvesting solutions, comes with its own challenges and requirements.

A typical light-based energy harvesting system should include four main components:

  • PV Cell: Converts light into electrical energy. The efficiency of this conversion depends on light intensity, angle, and cell material.
  • PMIC (Power Management IC): Regulates voltage, boosts power, and performs maximum power point tTacking (MPPT) to optimize energy capture.
  • Energy – Storage: Stores harvested energy using supercapacitors, rechargeable batteries, or hybrid solutions. The choice depends on the application’s energy profile and duty cycle.
  • Load: The embedded system that consumes energy, such as a sensor node or wireless transmitter.

When designing these systems, it’s important to understand how energy flows from source to consumption, especially when relying on PV cells to power the IoT device. You need to know how much energy the PV cell generates under specific lighting conditions, how efficiently that energy is transferred and stored, and most importantly, whether it’s enough to support your device’s workload and operation.

Here, we walk through how to evaluate each stage of energy flow, helping you answer the core question: can your energy budget support your use case?

We’ll also explore the architecture, energy flow, design trade-offs, and validation techniques for light-based energy harvesting systems, with a focus on practical tools like the Silicon Labs EFR32xG22E Energy Harvesting Explorer Kit and Qoitech’s Otii Ace Pro.

The Setup: Energy Harvesting HardwarexG22-EK8200A

The xG22E Energy Harvesting Explorer Kit is designed to enable functionality and accelerate the development of energy-harvesting powered devices using the RF protocols Bluetooth Low Energy (LE) and Zigbee Green Power. Built on the Silicon Labs EFR32xG22E Explorer Board, it offers ultra-fast low-energy cold start and low-energy deep sleep wake-up, making it ideal for a multitude of energy-constrained applications. It includes three shields co-developed with industry leading PMIC provider e-peas that fit securely into the Explorer Kit Board, enabling evaluation of sources including PV cells.

BRD8201A – Dual Harvester Shield

This shield uses e-peas’ latest and most advanced PMIC, the AEM13920, and allows developers to experiment with dual harvest sources simultaneously, debug standalone operation scenarios, and evaluate battery lifetime.

BRD8202A – Kinetic Button Shield equipped with BRD8206A – Kinetic button

This shield allows the demonstration of a specific application using a kinetic switch to power the wireless SoC. It’s dedicated for kinetic/pulse harvest applications and uses the e-peas AEM00300.

BRD8203A – Battery Shield

This shield allows for experimentation with alternative battery chemistries and supercapacitors.

Contents of EFR32xG22E Energy Harvesting Explorer Kit

The contents of EFR32xG22E Energy Harvesting Explorer Kit. The PV cell is a voltaic system P121 R1H, a PV cell designed for outdoor use. The energy storage is a Tecate 10F 3.8V Lithium supercapacitor.

Otii Ace Pro

The measurement setup consists of Otii Ace Pro units from Qoitech. The Otii Ace Pro is a comprehensive instrument designed for low-power and dynamic power profiling. With the addition of software toolboxes, it becomes a powerful tool for profiling, testing, and emulating batteries and energy harvesting systems. For this study, only the perpetual, free version of the Otii software was needed and used.

Setting Up the Measurements

Two Ace Pros are set up: one in line with the PV cell to measure and profile the incoming energy flow and how the PMIC handles it, and the other in line with the energy storage, e.g. battery or super capacitor, to monitor how energy flows in and out of it, see Fig 1. An additional Otii Ace Pro can be set up to measure the pins P101 on the xG22-EK8200A board to evaluate the performance of the Silicon Labs chipset. For more details on the connection points, please see the user guide.

The settings used for both the Otii Ace Pros are in-line and 4-wire mode with Main current, voltage and power channels activated.

Schematics for Setup of Silicon Labs xG22-EK8300A with 2 Otii Ace Pros

Schematics for the measurement setup of Silicon Labs xG22-EK8200A with two Otii Ace Pros. The setup is scalable, depending on the number of components that need to be evaluated.

Light Energy Harvesting Evaluation

Light energy harvesting evaluation with Silicon Labs xG22-EK8200A with Qoitech’s Otii Ace Pro.

Energy Harvesting in Action

The Eenergy From PV Cell and PMIC Behavior

Let’s observe the energy output from the PV cell, which is being harvested by the e-peas AEM13920 energy harvesting. When observing the current and voltage measurements from the Otii Ace Pro (in this setup called Ace_EnergyHarvester), connected in line with the PV cell, you’ll see frequent spikes, see Otii graph below. Zooming in on these reveals how the PMIC operates.

Each cycle begins with the PMIC temporarily disconnecting the energy harvester (EH) load. This brief pause allows it to measure the Open Circuit Voltage (Voc) of the EH. The measured Voc is then used to calculate the Maximum Power Point (MPP) — the voltage at which the EH operates most efficiently.

For many energy harvesters, the ratio between Voc and the MPP voltage remains constant, regardless of the illumination. In the case of the e-peas PMIC, this ratio is configurable between 35% and 85%, with the default setting at 75%. In the highlighted period in the data, the Voc is measured, and the PMIC then regulates the voltage to maintain at 75% of the Voc.

Cyclic Current and Voltage Behavior of PMIC and PV Energy Harvester

Cyclic current and voltage behavior of PMIC and PV energy harvester.

As light levels increase, the harvested energy also rises, corresponding to the updated Voc readings and – showcasing the PMIC’s dynamic response to changing environmental conditions, see below.

PMIC's Dynamic Response to the Increased Illumination

Energy Storage

By analyzing the current and voltage measurements from the Otii Ace Pro (in the setup called Ace_Battery), which monitors energy flowing into and out of the energy storage (battery), we can observe both the battery voltage and the direction of current flow. In this setup, a positive current indicates battery discharge, while a negative current indicates charging.

In the figure below, at the beginning of the highlighted section, the Silicon Labs chip wakes up and transmits data. During this activity, the average current is positive, indicating that the chip is drawing more power from the battery than the energy harvester supplies at that moment. However, when observing the entire period cycle of transmission and sleep, the overall current and energy values are negative, as seen in the whole highlighted section. This means the energy harvester supplies more energy than the chip consumes during idle time, allowing the battery to recharge. In this case, the system is self-sustaining.

Current and Voltage Behavior

Current and voltage behavior when the chipset wakes up and transmits the data.

The IoT Device Power Profile

Designing and optimizing a highly efficient energy harvesting system involves many variables. One of the most critical starting points is ensuring that the target device in itself is energy efficient. Consistent measurement and ongoing optimization throughout the development process are keys to success, – along with selecting low-power components that enable an efficient overall design.

The BRD8201A, a – dual harvester shield featuring the EFR32xG22E wireless MCUs, is one such component. As part of the EH kit, we give developers the opportunity to explore and evaluate its performance under real-world energy harvesting conditions.

In this setup, we analyzed its behavior using the Otii Ace Pro, which we’ve named Ace_IoT for this configuration. The results, shown in the figure below, display the current consumption of the Silicon Labs chip powered by energy harvesting.

During the active period, which occurs every 27 seconds, the average current consumption is approximately 160 µA. In sleep mode, the chip draws less than 300 nA on average, highlighting its suitability for ultra-low-power applications./p>

Current Consumption of BRD8201A

Current consumption of the BRD8201A – Dual Harvester Shield in sleep mode.

Silicon Labs’ energy harvesting platform for EFR32xG22E wireless MCUs is optimized for ultra-low-power consumption. Measured specifications show that a cold boot from Power-on Reset requires just 150 µJ, while waking from deep sleep mode (EM4) consumes 17 µJ, enabling rapid task execution with minimal energy overhead. The platform employs precise energy budgeting techniques, balancing input and consumption in microjoules, and dynamically adapts firmware behavior based on available energy – modulating transmission frequency, payload size, and memory operations. This architecture supports sustained operation in energy-constrained environments, making it ideal for scalable Ambient IoT deployments.

There is a complete breakdown of this mechanism for IoT transmission optimization in this document resource page.

Summary: Battery-Less IoT is Here

This evaluation underscores the transformative potential of light-based energy harvesting in enabling battery-less IoT systems, particularly through the integration of Silicon Labs’ EFR32xG22E platform and Qoitech’s Otii Ace Pro measurement tools. By leveraging PV cells and advanced PMICs like the e-peas AEM13920, developers can design systems that dynamically adapt to environmental conditions, optimize energy capture through maximum power point tracking (MPPT), and maintain energy balance even in fluctuating light scenarios. The study’s setup, – featuring dual Otii Ace Pros to monitor both the energy input from the PV and the storage behavior, – provides a granular view of how energy flows through the system, revealing critical insights such as the chip’s ultra-low sleep current (<300 nA) and efficient wake-up energy consumption (17 µJ from EM4). These metrics highlight the feasibility of sustained operation in energy-constrained environments.

Moreover, the evaluation demonstrates that with proper profiling and design trade-offs, such systems can achieve self-sufficiency, as evidenced by the net-negative current during full transmission-sleep cycles. This not only validates the energy harvesting architecture’s viability but also emphasizes the importance of selecting low-power components and continuously optimizing firmware behavior based on real-time energy availability. The use of supercapacitors and hybrid storage solutions further enhances system resilience, especially during low-light periods. As Ambient IoT continues to gain traction, the insights and methodologies presented here serve as a practical blueprint for developers aiming to build scalable, sustainable, and maintenance-free IoT solutions. With tools like the xG22E Energy Harvesting Explorer Kit and Otii’s profiling suite, the future of battery-less IoT is not just promising, – it’s already within reach.

The Silicon Labs SiWx917 ultra-low-power Wi-Fi 6 product family has reached general availability (GA) for its AI/ML hardware accelerator. Accompanied with a guided machine learning (ML) development journey and other tools, the SiWx917 makes artificial intelligence (AI) on IoT (AIoT) accessible for everyone and speeds up edge AI transformation for Wi-Fi IoT device makers.

Edge AI Transformation

The world has become AI-driven. With smarter algorithms that go far beyond what traditional rule-based programming can ever achieve, AI improves accuracy, enhances functionalities, and enables new use-cases on almost any imaginable thing, function, and system. Anything that benefits from the advantages of AI is being enhanced with that capability as we speak. However, behind the scenes of this profound technological revolution, a significant transformation is taking place. While cloud computing has dominated the AI/ML landscape for years, the centralized model is now challenged with a distributed architecture that also operates at the network edges as well as on the IoT devices. Edge AI is a fundamental transformation driven by clear, quantifiable benefits.

The Benefits of Edge AI

While cloud computing has proven effective in making AI ubiquitous, it has faced significant challenges. The latency of sending data to the cloud and back does not scale for real-time applications. Processing and storing sensitive data on cloud servers raises privacy and security concerns. Vast amounts of data are causing constant network congestion, flooding cloud storage, and increasing energy consumption and CO2 emissions.

Edge AI distributes computing to billions of nodes. ML models run directly on IoT devices, close to where the data is generated, avoiding the need to send every bit of data to the cloud. The proliferation of IoT connectivity, rapid advancements in AI/ML hardware acceleration on wireless microcontrollers like the SiWx917, combined with easy ML development tools have made it possible to perform sophisticated ML computations directly on compact, resource-constrained devices.

With on-device AI/ML execution, billions of smart home appliances, IoT sensors, smart cameras, industrial equipment, and many other smart devices can now process data and make decisions autonomously, without relying on the cloud. The result is faster processing, real-time response, resilient applications, and reduced load on networks and data storage. Data stays where it was generated, improving privacy and security.

SiWG917 AI/ML Accelerator and Development Tools

The SiWG917 (part of the SiWx917 product family) is an ultra-low-power Wi-Fi 6 and Bluetooth Low Energy wireless MCU for energy-efficient and battery-powered IoT devices. The comprehensive Edge AI-capable system features Matter protocol support, a dual-processor architecture with a powerful application microcontroller, network wireless processor (NWP), and large SRAM, PSRAM, and flash memory capacity. Its rich set of peripherals and high GPIO count make SiWG917 a versatile wireless MCU solution for any smart IoT application.

The dedicated AI/ML hardware accelerator on SiWG917 is optimized for energy-efficient ML inference, offloading the Arm Cortex-M4 application MCU. The on-device optimized AI/ML inference capabilities include executing time series data processing ML models such as predictive maintenance, environmental monitoring, anomaly detection, voice and audio detection, and low-resolution vision use-cases.

The dedicated AI/ML hardware block on the SiWG917 is optimized for energy-efficient TinyML workloads. It can perform 320 MOPs on the dedicated accelerator, offloading this load from the Cortex-M4 microcontroller, and allowing it to process the application. This makes the SiWG917 a game-changer for energy-efficient, battery-powered Edge AI devices.

Edge AI is Now Accessible to IoT Developers

To make AIoT accessible to every developer, the SiWG917 AI/ML accelerator comes with an AI/ML Extension for Simplicity SDK that ensures a seamless use of the accelerator through a standard CMSIS-NN interface. The ML SDK includes TensorFlow Lite Micro (LiteRT) optimization for microcontrollers, running compact, efficient ML models on the IoT device.

Our online AI/ML developer journey guides you through the end-to-end development flow with sample apps, tooling, and a partner list, further lowering the bar for Edge AI innovation. Whether you’re a seasoned embedded engineer or a data scientist exploring the edge, the SiWG917 offers a seamless path from ML model training to deployment.