industry news
Subscribe Now

Newly Released Mesh Network Performance Results from Silicon Labs Clarify IoT Connectivity Options

Comprehensive Testing of Zigbee®, Thread and Bluetooth® Mesh Software Compares Throughput, Latency and Network Scalability

AUSTIN, Texas – April 9, 2018 – Silicon Labs (NASDAQ: SLAB) has released the industry’s first comprehensive network performance results based on large-scale, multicast testing of Zigbee®, Thread and Bluetooth® mesh software. Each mesh networking protocol presents unique characteristics and advantages, depending on the use case and end application. All testing was conducted at Silicon Labs’ Boston design center using the company’s Wireless Gecko SoC platform to eliminate the device itself as a variable in testing the mesh protocols.

“Understanding the inner workings of mesh technologies helps developers assess how these network protocols perform in the key areas of power consumption, throughput, security and large network scalability,” said Daniel Cooley, Senior Vice President and General Manager of Silicon Labs’ IoT Products. “Zigbee, Thread and Bluetooth mesh are designed differently from the ground up, and we’re sharing our performance benchmark results to help developers select the right mesh connectivity option for their IoT designs.”

The mesh network benchmark results can be used by system designers to define expected behavior for Zigbee, Thread and Bluetooth mesh in the 2.4 GHz frequency band. With the growing number of mesh networks available for IoT applications, it is important for developers to understand how these networks differ in terms of use cases and expected performance. The testing focused on device behavior and impact on battery life, network throughput and latency, and the impact of network size on scalability and reliability.

Silicon Labs’ mesh network performance results are available as a series of application notes that define the methodology for performing the benchmark tests, enabling developers to replicate and run similar tests. These results provide guidance on mesh network design best practices and principles as well as expected field performance results. With 15 years of experience in mesh networking and more than 150 million deployed nodes, Silicon Labs is at the forefront of bringing advanced, multiprotocol wireless mesh technology to market.

Silicon Labs’ mesh networking performance test results are available free of charge to developers at www.silabs.com/mesh-performance.

Silicon Labs

Silicon Labs (NASDAQ: SLAB) is a leading provider of silicon, software and solutions for a smarter, more connected world. Our award-winning technologies are shaping the future of the Internet of Things, Internet infrastructure, industrial automation, consumer and automotive markets. Our world-class engineering team creates products focused on performance, energy savings, connectivity and simplicity. www.silabs.com

 

2 thoughts on “Newly Released Mesh Network Performance Results from Silicon Labs Clarify IoT Connectivity Options”

Leave a Reply

featured blogs
Feb 20, 2019
I have been working on DFM solutions for (too) many years and the objective hasn'€™t change: Detect or predict design-process weakpoints also known as hotspots, to limit systematic yield loss in... [[ Click on the title to access the full blog on the Cadence Community site...
Feb 20, 2019
Samtec'€™s Active Product Demonstrator proves 56 Gbps PAM4 based systems are fully realizable today. It'€™s a state-of-the-art prototype combining high-performance interconnects from Samtec and bleeding edge Credo silicon. All interconnect and silicon shown are available....
Feb 19, 2019
Recognized for contributions to Verilog, SystemVerilog, UVM and Portable Stimulus Accellera has selected our own Tom Fitzpatrick as its 2019 Technical Excellence Award honoree '€“ and the first Mentor employee to ever receive this prestigious recognition. From all of us at ...
Jan 25, 2019
Let'€™s face it: We'€™re addicted to SRAM. It'€™s big, it'€™s power-hungry, but it'€™s fast. And no matter how much we complain about it, we still use it. Because we don'€™t have anything better in the mainstream yet. We'€™ve looked at attempts to improve conven...