Demo: backscattering ECG sensing data with WiFi radios
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How to change the phase at low power?
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What is the impact of scrambler on backscattering 802.11b?
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Interference from the WiFi transmitter
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Software and hardware prototype
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Experiment Setup
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Leverage energy harvesting for continuous operations Micro energy harvesting
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Improved operational range for image sensing tasks
Description:
Explore cutting-edge research on low-power communication for IoT devices in this Systems & Networks Seminar. Delve into innovative techniques for wireless connectivity, energy-efficient computing, and IoT data analytics. Learn about a novel approach that leverages existing WiFi, Bluetooth, and ZigBee signals to embed information using codeword translation, enabling low-power communication for IoT devices. Discover how this technology achieves data rates of 300 kbps at close range and extends communication distances up to 42m in line-of-sight deployments. Gain insights into the challenges of power consumption in wireless radios and the potential solutions offered by backscatter communication. Examine practical applications, including embedding ECG and camera sensor data onto indoor WiFi traffic. Understand the impact of scramblers on backscattering, interference management, and the role of energy harvesting in continuous operations for IoT devices.
Systems & Networks Seminar - Enabling Low-Power Communication for IoT Devices