L
Li Sun
Researcher at University at Buffalo
Publications - 19
Citations - 438
Li Sun is an academic researcher from University at Buffalo. The author has contributed to research in topics: Wireless & Mobile device. The author has an hindex of 7, co-authored 19 publications receiving 369 citations. Previous affiliations of Li Sun include State University of New York System & Hewlett-Packard.
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Proceedings ArticleDOI
WiDraw: Enabling Hands-free Drawing in the Air on Commodity WiFi Devices
TL;DR: WiDraw is introduced, the first hand motion tracking system using commodity WiFi cards, and without any user wearables, that harnesses the Angle-of-Arrival values of incoming wireless signals at the mobile device to track the user's hand trajectory.
Proceedings ArticleDOI
Modeling WiFi Active Power/Energy Consumption in Smartphones
TL;DR: This study builds four versions of a previously proposed linear power-throughput model for WiFi active power/energy consumption based on parameters readily available to smartphone app developers and evaluates its accuracy under a variety of scenarios which have not been considered in previous studies.
Proceedings ArticleDOI
Bringing Mobility-Awareness to WLANs using PHY Layer Information
TL;DR: This work demonstrates how different mobility modes can be distinguished by using physical layer information -- Channel State Information (CSI) and Time-of-Flight (ToF) -- available at commodity APs, with no modifications on the client side.
Journal ArticleDOI
Experimental Evaluation of WiFi Active Power/Energy Consumption Models for Smartphones
TL;DR: An extensive experimental evaluation of a class of WiFi active power/energy consumption models for smartphones that are based on parameters readily available to the upper layers of the protocol stack, and focuses on a recent approach modeling the active power consumption as a function of the application layer throughput.
Journal ArticleDOI
Performance Comparison of Routing Protocols for Cognitive Radio Networks
TL;DR: This first detailed, empirical performance comparison of three representative routing protocols for CRNs, under the same realistic set of assumptions, finds that different protocols perform well under different scenarios, and investigates the causes of the observed performance.