Novel Systems for Improved Backscatter Tag Communications
Deepak Ganesan, Ph.D.
A new fully asymmetric backscatter communication, which allows for battery-less sensors and readers, protocol where nodes blindly transmit data as and when they sense. This model enables fully flexible node designs, from extraordinarily power efficient backscatter radios that consume barely a few micro-watts to high-throughput radios that can stream at hundreds of Kbps while consuming a paltry tens of micro-watts.
• Lower power, lower cost backscatter sensors • Energy efficiency 20x higher than Buzz, 1000x better than EPC Gen 2 • High-speed concurrent backscatter communications
• Battery-less remote sensors • Personal health monitoring • Replace active radios on battery-powered sensors
Deepak Ganesan is a Professor in the Department of Computer Science at UMass Amherst. His research focuses on ultra-low power wireless communication via backscatter, novel platforms and algorithms for mobile and wearable health sensing, learning and inference on multi-modal sensor data, and micro-powered sensors. Dr. Ganesan leads the UMass Sensors Research Group.
Available for Licensing and/or Sponsored Research
UMA 16-053
Patent Pending
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