U Washington Researchers Develop Energy-Efficient Wi-Fi

A team of computer scientists and electrical engineers at the University of Washington has developed a passive Wi-Fi system that can generate 802.11b Wi-Fi signals using 10,000 times less power than present-day Wi-Fi and 1,000 times less power than Bluetooth Low Energy and ZigBee, according to a news release on UW's site.

Traditional Wi-Fi technology uses both digital and analog components. While the digital components are highly energy efficient, the analog ones are not. Passive Wi-Fi solves this problem by decoupling the digital and analog components of Wi-Fi transmissions, assigning the power-intensive analog functions to a single networked device that is plugged into a wall outlet. An array of sensors produces the information packets for transmission by reflecting and absorbing the signal with a digital switch, according to a news release from UW. The sensors are capable of communicating with any Wi-Fi enabled device.

"All the networking, heavy-lifting and power-consuming pieces are done by the one plugged-in device," said Vamsi Talla, an electrical engineering doctoral student who worked on the project. "The passive devices are only reflecting to generate the Wi-Fi packets, which is a really energy-efficient way to communicate."

In addition to reducing battery consumption on smartphones and tablets, Passive Wi-Fi has the potential to support the Internet of Things by enabling household device and wearable sensors to communicate using minimal power. The MIT Technology Review has named passive Wi-Fi on its list of 10 breakthrough technologies of 2016.

The computer scientists and electrical engineers who developed Passive Wi-Fi will present a paper about the technology at the at the 13th USENIX Symposium on Networked Systems Design and Implementation in March. The paper is available as a free, downloadable PDF from the University of Washington's site.

About the Author

Leila Meyer is a technology writer based in British Columbia. She can be reached at [email protected].

Featured

  • large group of college students sitting on an academic quad

    Student Readiness: Learning to Learn

    Melissa Loble, Instructure's chief academic officer, recommends a focus on 'readiness' as a broader concept as we try to understand how to build meaningful education experiences that can form a bridge from the university to the workplace. Here, we ask Loble what readiness is and how to offer students the ability to 'learn to learn'.

  • glowing brain above stacked coins

    The Higher Ed Playbook for AI Affordability

    Fulfilling the promise of AI in higher education does not require massive budgets or radical reinvention. By leveraging existing infrastructure, embracing edge and localized AI, collaborating across institutions, and embedding AI thoughtfully across the enterprise, universities can move from experimentation to impact.

  • row of digital padlocks

    2026 Cybersecurity Trends to Watch in Higher Education

    In an open call last month, we asked education and industry leaders for their predictions on the cybersecurity landscape for schools, districts, colleges, and universities in 2026. Here's what they told us.

  • Interface buttons of Generative AI tool

    Report: No Foolproof Method Exists for Detecting AI-Generated Media

    Microsoft has released a new research report warning that no single technology can reliably distinguish AI-generated content from authentic media, and that deepening reliance on any one method risks misleading the public.