Posted in | News | Biosensors

Ramtron F-RAM Technology Promotes Sustainability in Wireless Sensor Applications

Ramtron International has reported that the Zurich University of Applied Sciences Institute of Embedded Systems (ZHAW InES) has presented a paper that describes the research based on Ramtron F-RAM designed into a wireless, battery-free sensor node.

With a presentation at the European ZigBee Developers Conference in Munich, Germany lying underway, the research showed that the implementation of F-RAM nonvolatile memory for energy harvesting applications will result in more than 40% reduction in energy consumption of the wireless sensor node. The overall cost of the wireless sensor system will therefore be lesser than standard nonvolatile memory components-based systems.

Wireless sensor networks are designed to form advanced building automation systems. A wireless switch can perform battery-free or hardwired electrical infrastructure-free operation. The switch utilizes the energy harvested from mechanical, solar, or piezoelectric input. Even less energy being emitted from the switch is adequate to drive a transmitter that relays a radio signal to a receiver and that serves as a power source for lighting or other domestic and industrial systems. This cost-efficient wireless switch replaces associated batteries and wires. With improved creative design flexibility, this wireless switch can be ideally deployed by architects.

Led by ZHAW professor, Dr. Marcel Meli, the research demonstrates that using F-RAM nonvolatile memory in a wireless switch will enhance the capability ZigBee wireless nodes powered by harvested energy like low-power digital radio.

Prof. Dr. Meli's research also demonstrates that F-RAM can mitigate total bill-of-materials included in energy harvesting wireless sensor nodes. Use of F-RAM in reinstating the processor is possible if sufficient energy is available. It also entails low power management with lesser constraints on the storage system. Thus, the complexity of the system and the cost of the component are reduced.


Will Soutter

Written by

Will Soutter

Will has a B.Sc. in Chemistry from the University of Durham, and a M.Sc. in Green Chemistry from the University of York. Naturally, Will is our resident Chemistry expert but, a love of science and the internet makes Will the all-rounder of the team. In his spare time Will likes to play the drums, cook and brew cider.


Please use one of the following formats to cite this article in your essay, paper or report:

  • APA

    Soutter, Will. (2019, February 24). Ramtron F-RAM Technology Promotes Sustainability in Wireless Sensor Applications. AZoSensors. Retrieved on February 27, 2024 from

  • MLA

    Soutter, Will. "Ramtron F-RAM Technology Promotes Sustainability in Wireless Sensor Applications". AZoSensors. 27 February 2024. <>.

  • Chicago

    Soutter, Will. "Ramtron F-RAM Technology Promotes Sustainability in Wireless Sensor Applications". AZoSensors. (accessed February 27, 2024).

  • Harvard

    Soutter, Will. 2019. Ramtron F-RAM Technology Promotes Sustainability in Wireless Sensor Applications. AZoSensors, viewed 27 February 2024,

Tell Us What You Think

Do you have a review, update or anything you would like to add to this news story?

Leave your feedback
Your comment type
Azthena logo powered by Azthena AI

Your AI Assistant finding answers from trusted AZoM content

Azthena logo with the word Azthena

Your AI Powered Scientific Assistant

Hi, I'm Azthena, you can trust me to find commercial scientific answers from

A few things you need to know before we start. Please read and accept to continue.

  • Use of “Azthena” is subject to the terms and conditions of use as set out by OpenAI.
  • Content provided on any AZoNetwork sites are subject to the site Terms & Conditions and Privacy Policy.
  • Large Language Models can make mistakes. Consider checking important information.

Great. Ask your question.

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.