Silicon Labs Gecko MCU Platforms Focusing on IoT Security and Energy

Posted on Tuesday, January 5, 2016 by RICHARD HARRIS, Executive Editor

Silicon Labs has introduced two new EFM32 Gecko microcontroller (MCU) platforms that focus on security and energy management for IoT-connected devices. The new Jade Gecko and Pearl Gecko MCUs combine a hardware cryptography engine, low-energy modes, an on-chip dc-dc converter and scalable memory options. 

The EFM32 Jade and Pearl Gecko MCUs microcontrollers target energy-sensitive and battery-powered devices including wearable health and fitness trackers, smart door locks, point-of-sale devices, security sensors and other IoT node applications.

The new MCUs feature a hardware cryptography engine providing autonomous encryption and decryption for Internet security protocols such as TLS/SSL with minimal CPU intervention all without sacrificing battery life. The on-chip crypto-accelerator supports advanced algorithms such as AES with 128- or 256-bit keys, elliptical curve cryptography (ECC), SHA-1 and SHA-224/256. Hardware cryptography enables helps developers to meet IoT security requirements beyond software-only techniques.

The microcontrollers are based on ARM Cortex-M3 and M4 cores and feature an enhanced peripheral reflex system (PRS) that lets low-power peripherals operate autonomously while the MCU core sleeps, allowing connected devices to sleep longer which extends battery life. Energy-saving low active-mode current (63 µA/MHz) enables computationally intensive tasks to execute faster and the low sleep-mode current (1.4 µA down to 30 nA) and ultra-fast wake-up/sleep transitions also minimize energy consumption.

The Jade and Pearl Gecko MCUs integrate a high-efficiency dc-dc buck converter. With a total current capacity of 200 mA, the on-chip converter can provide a power rail for other system components in addition to powering the MCU. This power management option can eliminate the need for an external dc-dc converter.

Other Jade Gecko and Pearl Gecko MCU highlights:


- Choice of 32-bit ARM Cortex-M3 and M4 cores scaling up to 40 MHz

- On-chip hardware encryption/decryption accelerator supporting random number generator, AES, ECC and SHA technologies

- Flexible energy management system with a wide range of low-energy modes

- 12-channel peripheral reflex system (PRS) supporting autonomous interaction between peripherals down to deep sleep mode, as well as configurable logic functions

- 12-bit, 1 Msps analog-to-digital converter (ADC) capable of sampling and performing autonomous comparisons down to stop mode

- Integrated dc-dc buck converter providing a power rail for other system components
Scalable memory options (up to 256 kB flash with 32 kB RAM)

- Independent I/O rail supporting 1.8V to 5V components

- Software-compatible with existing portfolio of 240+ EFM32 Gecko MCUs

IoT developers can use Silicon Labs’ Simplicity Studio development platform to power the EFM32 Jade and Pearl Gecko and complete IoT projects from initial concept to final product in a unified software environment. Simplicity Studio includes an Eclipse-based integrated development environment (IDE), graphical configuration tools, energy profiling tools, wireless network analysis tools, demos, software examples, documentation, technical support and community forums.

Engineering samples of EFM32JG Jade Gecko and EFM32PG Pearl Gecko MCUs are available now in 5 mm x 5 mm QFN32 and 7 mm x 7 mm QFN48 packages. Production quantities are planned for the second quarter of 2016. Jade Gecko pricing begins at $1.24 (USD) in 10,000-unit quantities, and Pearl Gecko 10K pricing begins at $1.65 (USD). The SLSTK3401A EFM32PG Pearl Gecko Starter Kit, priced at $29.99 (USD MSRP) allows developers to jumpstart evaluation and development of Gecko-based applications. 

More App Developer News

Tether QVAC SDK Powers AI Across Devices and Platforms



APAC 5G expansion to fuel 347B mobile market by 2030



How AI is causing app litter everywhere



The App Economy Is Thriving



NIKKE 3.5 anniversary update livestream coming soon



New AI tool targets early dementia detection



Jentic launch gives AI agents api access



Experts warn ai-generated health content risks misinterpretation without human oversight



Ludo.ai Unveils API and MCP Beta to Power AI Game Asset Pipelines



AccuWeather Launches ChatGPT Integration for Live Weather Updates



Stop Using Business Jargon: 5 Ways Buzzwords Damage Job Performance



IT spending rises as banks balance legacy and innovation



Tech hiring slumps as Software Developer job postings fall



AI is becoming more widespread in collaboration tools



FCC prohibits new foreign router models citing critical infrastructure risks



ChatGPT Carbon Footprint Matches 1.3 Million Cars Report Finds



Lens Launches MCP Server to Connect AI Coding Assistants with Kubernetes



Accelerating corporate ai investment returns



Enviromates tech startup launches global participation platform



Private Repository Secures the AI-driven Development Boom



UK Fintech Platform Enviromates Connects Projects Brands and Consumers



Env Zero and CloudQuery Announce Merger



How Industrial AI Is Transforming Operations in 2026



AI generated work from managers is damaging trust among employees



Foresight Secures $25M to Bridge Infrastructure Execution Gap



Copyright © 2026 by Moonbeam

Address:
1855 S Ingram Mill Rd
STE# 201
Springfield, Mo 65804

Phone: 1-844-277-3386

Fax:417-429-2935

E-Mail: contact@appdevelopermagazine.com