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Popular Science names 'Power Over Wi-Fi' one of the year's game-changing technologies

By Jennifer Langston, University of Washington

University of Washington engineers have developed a novel technology that uses a Wi-Fi router -- a source of ubiquitous but untapped energy in indoor environments -- to power devices.

The Power Over Wi-Fi (PoWiFi) system is one of the most innovative and game-changing technologies of the year, according to Popular Science, which included it in the magazine's annual "Best of What's New 2015" awards announced Nov. 18.

The UW team used ambient signals from this Wi-Fi router to power sensors in a low-resolution camera and other devices. [Dennis Wise/ University of Washington]

 

 

The technology made headlines earlier this year when researchers published an online paper showing how they harvested energy from Wi-Fi signals to power a simple temperature sensor, a low-resolution grayscale camera, and a charger for a Jawbone activity tracking bracelet.

Great, but we're not there yet for holy grail of phone charging
According to a June 30, 2015, Popular Science article about the technology, "The low, 1-watt power output of a router limits what can be run on PoWiFi, making it unsuitable for cell phones, says Dr. Mehdi Kiani, assistant professor of electrical engineering at Pennsylvania State University, but he says the technology has interesting uses for powering other low-energy devices."

The final paper will be presented in December at the Association for Computing Machinery's CoNEXT 2015 conference in Heidelberg, Germany, on emerging networking experiments and technologies.

PoWiFi could help enable development of the Internet of Things, where small computing sensors are embedded in everyday objects like cell phones, coffee makers, washing machines, air conditioners, and mobile devices, allowing those devices to "talk" to each other. But one major challenge is how to energize those low-power sensors and actuators without needing to plug them into a power source as they become smaller and more numerous.

The team of UW computer science and electrical engineers found that the peak energy contained in untapped, ambient Wi-Fi signals often came close to meeting the operating requirements for some low-power devices. But because the signals are sent intermittently, energy "leaked" out of the system during silent periods.

The team fixed that problem by optimizing a router to send out superfluous "power packets" on Wi-Fi channels not currently in use -- essentially beefing up the Wi-Fi signal for power delivery -- without affecting the quality and speed of data transmission. The team also developed sensors that can be integrated in devices to harvest the power.

In their proof-of-concept experiments, the team demonstrated that the PoWiFi system could wirelessly power a grayscale, low-power Omnivision VGA camera from 17 ft away, allowing it to store enough energy to capture an image every 35 minutes.

It also re-charged the battery of a Jawbone Up24 wearable fitness tracker from zero to 41 percent in 2.5 hours.

The researchers also tested the PoWiFi system in six homes. Users typically didn't notice deterioration in Web page loading or video streaming experiences, showing the technology could successfully deliver power via Wi-Fi in real-world conditions without degrading network performance.

Although initial experiments harvested relatively small amounts of power, the UW team believes there's opportunity for make the PoWiFi system more efficient and robust.

"In the future, PoWi-Fi could leverage technology power scaling to further improve the efficiency of the system to enable operation at larger distances and power numerous more sensors and applications," said co-author Shyam Gollakota, assistant professor of computer science and engineering.

The research is funded by the National Science Foundation, Qualcomm, and the UW.

Co-authors include UW electrical engineering doctoral students Bryce Kellogg and Saman Naderiparizi, research associate Benjamin Ransford, and Joshua Smith, associate professor of computer science and engineering and associate professor of electrical engineering.

Published November 2015

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