Gain from Multipath: Distinguishing Locations and Enabling Privacy Using Radio Channel Measurements (Active RFID, RTLS & Sensor Networks 2008)

Prof Neal Patwari, Assistant Professor
University of Utah, United States
 
2008年11月6日.

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プレゼンテーション概要

  • We demonstrate specific benefits of the multipath radio channel in RTLS and sensor networks which in current systems are overlooked.
  • Link multipath channel statistics are unique at each position and are useful for distinguishing location.
  • Channel statistics are also reciprocal and two nodes can share a unique channel-based secret key, enabling security and privacy for simple active wireless tags and sensors.

講演者の経歴 (Neal Patwari)

Neal Patwari is a faculty member at the University of Utah Department of Electrical and Computer Engineering. He has been at the "U of U" for two years. He received his Ph.D. from the University of Michigan, Ann Arbor. His specialty is in "Radio Channel Signal Processing", which uses measurements of the radio channel to infer properties of links or devices in wireless networks. He was previously a researcher at Motorola Labs, Plantation, Florida, where he was involved in radio localization research and development for both outdoor and indoor applications. He has seven patents and over thirty papers in reviewed journals and conference proceedings.

会社紹介 (University of Utah)

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Research at the University of Utah is heavily involved in using the radio channel for location, location distinction, and wireless network security applications. This talk represents work led by Profs. Sneha K.
Kasera in the School of Computing and Neal Patwari in the Department of Electrical and Computer Engineering. The lab combines the research efforts of a dozen Master's and Ph.D. students in both Engineering and Computer Science. The joint lab has been investigating wireless networking technologies for the past two years, and has had success in both academic and commercial efforts. Some of these successes include winning the student research demo competition at the highly selective ACM MobiCom conference, being awarded a $70k Technology Commercialization Grant to develop location distinction technologies, and IP protection, including one patent pending and four provisional patents.
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