Breakthrough enables battery-free smart tag technology
Imagine you can open your fridge, open an app on your phone and immediately know which items are expiring within a few days. This is one of the applications that a new technology developed by engineers at the University of California San Diego would enable.
The technology combines a chip integrated into product packaging and a software update on your phone. The phone becomes capable of identifying objects based on signals the chip emits from specific frequencies, in this case Bluetooth or WiFi. In an industrial setting, a smartphone equipped with the software update could be used as an RFID reader.
The work harnesses breakthroughs in backscatter communication, which uses signals already generated by your smartphone and re-directs them back in a format your phone can understand. Effectively, this technique uses significantly less power than current state of the art technology to generate Wi-Fi signals These advances have enabled very low-power communication between components of the Internet of Things and hardware such as Wi-Fi or Bluetooth transceivers, for applications such as on-body sensors or asset trackers.
The custom chip, which is roughly the size of a grain of sand and costs only a few pennies to manufacture, needs so little power that it can be entirely powered by LTE signals, a technique called RF energy harvesting. The chip turns Bluetooth transmissions into Wi-Fi signals, which can in turn be detected by a smartphone with that specific software update.
The team will present their work at the IEEE International Solid-State Circuits Conference in San Francisco on 20 Feb, 2023.
Currently, state-of-the-art backscatter modulation requires two external devices: one to transmit and one to receive and read the signals. This conference paper presents the first backscatter integrated circuit that can enable wireless communication and battery-less operation coming from a single mobile device.
“This approach enables a robust, low-cost and scalable way to provide power and enable communications in an RFID-like manner, while using smartphones as the devices that both read and power the signals,” said Patrick Mercier, one of the paper’s senior authors and a professor in the Department of Electrical and Computer Engineering at the University of California San Diego.
The technology’s broader promise is the development of devices that do not need batteries because they can harvest power from LTE signals instead. This in turn would lead to devices that are significantly less expensive and last longer, up to several decades, said Dinesh Bharadia, a professor in the UC San Diego Department of Electrical and Computer Engineering and one of the paper’s senior authors.
“E-waste, especially batteries, is one of the biggest problems the planet is facing, after climate change,” Bharadia said.
How it works
The researchers achieved this breakthrough by harvesting power from LTE smartphone signals and buffering this power onto an energy storage capacitor. This in turn activates a receiver that detects Bluetooth signals, which are then modified into reflected WiFi signals.
The software update is simply a bit sequence that turns the Bluetooth signal into something that can be more easily turned into a WiFi signal.
In addition, most lower power wireless communications require custom protocols, but the device the researchers developed relies on common communication protocols: Bluetooth, WiFi and LTE. That’s because smartphones are equipped with both a Bluetooth transmitter and a WiFi receiver.
The device has a range of one metre — about one yard. Adding a battery would boost the tag’s range to tens of metres, but also increase costs. The device, which is half a square inch in size, costs just a few cents to manufacture.
Next steps include integrating the technology in other research projects to demonstrate its capabilities. The team also hopes to commercialise the device, either through a startup or through an industry partner.
The work was supported by the National Science Foundation under Grant 1923902 and the UC San Diego Center for Wearable Sensors.
Research team: Shih-Jai Kuo*, Manideep Dunna*, Hongyu Lu, Akshit Agarwal, Dinesh Bharadia, Patrick Mercier, Department of Electrical and Computer Engineering, University of California San Diego.
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