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

  • Profile silhouette of a person thoughtfully touching their chin, overlaid with transparent data visualizations and digital interface elements suggesting artificial intelligence and analytics.

    The Institutional Knowledge Shift Is Reshaping Higher Ed IT

    Higher education IT leaders are navigating a quiet but consequential transition: Experienced team members are retiring or leaving for private-sector roles, and the teams replacing them are smaller, newer, and often stretched thin. The result is a structural shift in how technology decisions are made, executed, and sustained.

  • abstract quantum computing glowing circuits

    Nvidia Unveils 'Ising' Quantum AI Model

    Nvidia has announced a new family of open source AI models, dubbed "Ising," designed to accelerate quantum computing by improving calibration and error correction.

  • robot hand holding stacks of coins

    Designing AI Systems for Financial Aid

    Financial aid offices have been slow to adopt AI, risking technological stagnation at a critical early student touchpoint. Systematic AI integration can improve student experiences and strengthen institutional positioning.

  • Businessman using laptop analyzing data and growth graph chart

    AI Budgets in Education Show No Sign of Decline

    The vast majority of education organizations (98%) expect their AI infrastructure budgets to either increase or hold steady over the next year, according to a recent report from cloud storage provider Wasabi.