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PhD Final Exam – Jennifer M Williams

An Anthology of Next-Generation WSNs and Transformative IoT Use-Cases

The Internet of Things (IoT) paradigm brought ever-increasing dependence on low-power devices to collect sensor data and transmit it to the cloud, placing greater demand on connectivity and lifespan. In response, rapid worldwide innovation demonstrates tradeoffs in processing, communication, and energy consumption with diverse approaches to low-power components, duty-cycle schemes, cost, and many other critical constraints for complex use-cases, such as track-and-trace (T&T). This work explores the central theme of low-power wireless sensor networks (WSNs) in the IoT and Industrial IoT (IIoT). A collection of publications evolves through the theme, from an IoT literature review to enabling densely-scalable WSNs for logistics & asset management (LAM) in IIoT. Next, this research proposes to enhance the WSN by leveraging wake-up radio (WUR) and energy harvesting (EH) to achieve battery-free operation. Lastly, this work proposes WSNs can improve visibility and ! control of airflow management in IoT applications to (a) datacenters and (b) farm-to-fork agriculture.

Major Advisor: Huaping Liu
Committee: Arun Natarajan
Committee: Kartikeya Mayaram
Committee: Rahul Khanna
GCR: Adam Schultz

Wednesday, March 11 at 3:00pm to 5:00pm

Kelley Engineering Center, 1005
110 SW Park Terrace, Corvallis, OR 97331

Event Type

Lecture or Presentation

Event Topic


Electrical Engineering and Computer Science
Contact Name

Calvin Hughes

Contact Email

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