SEMINAR SERIES: Scalability in Low-power Wide Area Networks
Friday, August 19, 2022 - 14:00 to 15:00
Duke University LSRC D106
The Duke University departments of Computer Science, Electrical and Computer Engineering, and the NSF AI Institute for Edge Computing Leveraging Next Generation Networks (Athena) present the next in our seminar series by Dr. Bhuvana Krishnaswamy of the University of Wisconsin-Madison, titled “Scalability in Low-power Wide Area Networks ” on Friday, August 19, 2022, from 2-3pm EST at Duke University LSRC D106 and via zoom.
Wireless data delivery over long distance is power consuming and challenging for large-scale deployments. Low-power wide area networks (LPWAN) are increasingly in need to develop wireless solutions that satisfy the following requirements (1) Increased battery life, (2) Longer communication range, (3) Large-Scale, and (4) Low-cost. Existing strategies for addressing low-power and long-range do not efficiently address all of these in a large-scale network. In this talk, the fundamental challenges in meeting the above needs of LPWANs will be identified. Collision resolution approaches to meet the demands of large-scale, commercially available LPWANs - LoRa - will be the focus of this talk.
Bhuvana Krishnaswamy is an Assistant Professor in the Department of Electrical and Computer Engineering at University of Wisconsin-Madison. She obtained her MS and Ph.D. in from Georgia Institute of Technology. She is the recipient of NSF CAREER Award, N2Women Rising Star Award, and the Grainger Faculty Scholarship Award. Her research interests are in low-power wireless communication and its challenges in practical deployments. Additional details about her research and team can be found at https://uwconnect.ece.wisc.edu/
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