Abstract:

Traditional battery-powered wireless sensor networks face many challenges to meet a wide range of demanding applications nowadays due to their limited energy. Although energy harvesting techniques can scavenge energy from the environment to sustain network operations, dynamics from the energy sources may lead to service interruption or performance degradation when the sources are unavailable. Recent advances in wireless energy transfer have opened up a new dimension to resolve the network lifetime problem. In this talk, we present an overview of the wireless energy transfer techniques and recent developments to apply these techniques in various sensing applications. We also show how this novel technology can be integrated with classic data collection applications and envision future directions in this area.

Bio:

Yuanyuan Yang received the BEng and MS degrees in computer science and engineering from Tsinghua University, Beijing, China, and the MSE and PhD degrees in computer science from Johns Hopkins University, Baltimore, Maryland, USA. Dr. Yang is a SUNY Distinguished Professor in the Department of Electrical & Computer Engineering and Department of Computer Science at Stony Brook University, New York, USA. She is currently on leave serving as a Program Director at the US National Science Foundation. She has served as the Associate Dean for Academic Affairs of College of Engineering and Applied Sciences at Stony Brook University and a Division Director of New York State Center of Excellence in Wireless and Information Technology.

 

Dr. Yang is internationally recognized for her contributions in parallel & distributed computing systems and networking. She was named an IEEE Fellow in 2009 for contributions to the area. Her current research interests include cloud computing, edge computing and mobile computing. Her research group currently develops data center architectures and virtual machine placement algorithms in cloud computing systems, data discovery/retrieval/caching mechanisms in edge computing systems, and wireless energy-charging algorithms and mobile data gathering mechanisms in wireless rechargeable sensor networks.