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Stanford University Networking Seminar


Manikanta Kotaru & Dinesh Bharadia (Stanford University)
Precise localization and high throughput backscatter using WiFi signals

12:15pm, Thursday, October 15 2015
Gates 104

About the Talk

Indoor localization holds great promise to enable applications like location-based advertising, indoor navigation, inventory monitoring and management. SpotFi is an accurate indoor localization system that can be deployed on commodity WiFi infrastructure. SpotFi only uses information that is already exposed by WiFi chips and does not require any hardware or firmware changes, yet achieves the same accuracy as state-of-the-art localization systems.

We then talk about BackFi, a novel communication system that enables high throughput, long range communication between very low power backscatter IoT sensors and WiFi APs using ambient WiFi transmissions as the excitation signal. We show via prototypes and experiments that it is possible to achieve communication rates of up to 5 Mbps at a range of 1 m and 1 Mbps at a range of 5 meters. Such performance is an order to three orders of magnitude better than the best known prior WiFi backscatter system.

About the Speaker

Mani is a third year PhD candidate at Stanford University advised by Professor Sachin Katti. His research interests are in developing wireless networks for communication, sensing, localization and imaging. He presented a portion of this talk in Sigcomm 2015.

Dinesh Bharadia is a also a PhD candidate at Stanford University advised by Professor Sachin Katti. His research interests include advancing the theory and design of modern wireless communication systems, sensor networks, and data-center networks.