Paper: Discovering Places of Interest Using Sensor Data from Smartphones and Wearables

(May 10, 2017) Congrats to Chris Poellabauer’s student Sudip Vhaduri who led the efforts on a NetSense-based full paper for IEEE UIC (IEEE Ubiquitous Intelligence and Computing 2017).  The paper entitled “Discovering Places of Interest Using Sensor Data from Smartphones and Wearables” focuses on location clustering and leveraging nearby devices for improved location information.  The paper draws from our past NetSense work using Bluetooth, WiFi, and GPS data.  A nice work top off a fantastic PhD proposal earlier in the week by Sudip.

S. Vhaduri, C. Poellabauer, A. Striegel, O. Lizardo and D. Hachen, “Discovering Places of Interest Using Sensor Data from Smartphones and Wearables,” to appear in Proc. of IEEE UIC (Ubiquitous Intelligence and Computing), 2017.

INFOCOM 2017 – Mobiworld / IECCO Presentations

[May 1, 2017] The slides for our two papers at the MobiWorld 2017 and IECCO 2017 workshops at INFOCOM 2017 can be found at the paper links noted below.  The core papers can also be found via IEEE Xplore.  Camera-ready (pre-submit) versions of the papers can also be found via links to this post as well.

  • L. Song, A. Striegel, “Leveraging Frame Aggregation to Improve Access Point Selection,” in Proc. of Mobiworld, workshop at IEEE INFOCOM 2017, Atlanta, GA, May 2017.
  • X. Hu, A. Striegel, “Redundancy Elimination Might Be Overrated: A Quantitative Study on Wireless Traffic,” in Proc. of IECCO, workshop at IEEE INFOCOM 2017, Atlanta, GA, May 2017.