COMPSCI 690W: Advanced Wireless Networking and Sensing in IoT

Instructor

Jie Xiong

Teaching Assistants

TBD

Class

TuTh 4:00PM - 5:15PM Lederle Grad Res Ctr rm A310 (Jan 22, 2019 - May 2, 2019)

Description

Nowadays, wireless technologies (such as 802.11 Wi-Fi) do not only provide data service but also cater to diverse applications including indoor localization, contactless activity sensing, medical implant tracking and charging, virtual reality (VR) and autonomous cars etc. This course introduces the students with fundamentals in wireless networking and also the state-of-the-art sensing applications in the Era of Internet-Of-Things. Wireless sensing is also an active research area which involves wireless communication, signal processing, human computer interaction, machine learning and also hardware prototyping. The latest research in wireless sensing has enabled many novel exciting applications. For example, Wi-Fi signals can now be employed to differentiate very similar materials such as Pepsi and Coke. You can place your phone on the desk and turn the desk surface into a giant touch (input) panel with acoustic sensing. This course contains lectures, one midterm exam, paper presentation, paper criticism and one team-based project.

Turning your table into an input panel without any sensor or wearable.

By employing the acoustic signal generated when your fingers side on the desk surface, we can turn your desk surface into an input panel. Our system can recognize numbers, letters and gestures (click, flip, scroll, zoom, etc.)

Employing commodity Wi-Fi device at home for respiration sensing without any sensor attached to the human body.(Ubicomp '18)

We employ the pervasive Wi-Fi signals for respiration sensing. The reflected signal from the human chest is used to capture the subtle chest displacement (0.5cm) during the inhalation and exhalation process.

Employing RFID signal for fine-grained material sensing. (MobiCom '17)

Material sensing can be applied for robot control, fake detection, food expiration detection, etc. Our system is sensitive enough to differentiate even Pepsi and Coke with just wireless signals.

Schedule

Grading Plan

  1. 15%: Two homework assignments

  2. 20%: In-class midterm

  3. 15%: Paper criticism (3 papers)

  4. 10%: Paper presentation (present it in class)

  5. 40%: Final project (team-based), including
    1) Project proposal (5%)
    2) Demo (25%)
    3) Final
 presentation & report (10%)

Guidelines for paper criticism

Each student is required to criticize 3 papers. The critique should:

  1. Summarize the paper

  2. Identify and list the technical challenges

  3. Describe the contribution of the paper

  4. Discuss the strength and weakness (pay more attention to weakness)

  5. Suggest potential improvements