Low-cost system will improve communications among industrial machines
Researchers have found a low-power, inexpensive way for large numbers of devices, such as machines in factories and equipment in labs, to share information by efficiently using signals at untapped high frequencies
The technology could immediately enable low-cost, efficient real-time monitoring in industrial settings, such as tracking the condition of manufacturing robots or detecting gas leaks in refineries, by eliminating the need for power-hungry signal transmitters. The researchers said that with some engineering improvements, the technology could be used for large-scale applications like smart cities and agriculture.
The technology is an advanced version of a device that transmits data in a wireless system, commonly known as a tag. The new tag can support data transmission for a large network of devices using a technique called backscattering. This is where a central reader sends a signal to a sensor tag to gather information, and the tag reflects this ambient signal directly back to the reader. Backscattering is already used in simple systems like smart payment and building entry cards, but until now has only been possible at low frequencies.
The low frequency limit poses a problem when many devices try to communicate at the same time because when more signals are introduced, they are more likely to run into one another and get jumbled up. Conventional backscatter designs also have slow communication speeds, as lower frequency signals have limitations on how much information can travel back and forth at once.
The new tag, developed by researchers at Princeton, Rice University and Brown University, is the first of its kind that can use backscattering in the sub-terahertz range, a high-frequency portion of the radio spectrum. This range can support high-speed data transmission across broad bandwidths. The development means it could be possible to power signal transmission for dense networks of devices using passive tags, saving significant power and infrastructure compared to conventional wireless systems.
“I believe this technology will find applications in many interesting settings,” said Yasaman Ghasempour, assistant professor of electrical and computer engineering at Princeton and the study’s principal investigator. “Despite the conventional wisdom, this paper shows that it is possible to have low-power, scalable communication in the sub-terahertz range.”
The paper was published Oct. 9 in Nature Communications
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