Tuesday, May 8, 2018
4:15 pm

EE Systems Seminar

Node Deployment in Heterogeneous Sensor Networks: A Source Coding Perspective
Hamid Jafarkhani , Chancellor's Professor , Department of Electrical Engineering and Computer Science,, University of California, Irvine

Abstract: Wireless networks of the future, such as the Internet of Things, are envisioned to be highly heterogeneous. In many applications, one is interested in optimally deploying a network of nonidentical nodes to a certain area of interest. These networks may include a multitude of connected autonomous nodes in one or more tiers. We formulate these deployment problems as quantizer design problems where different distortion measures should be associated with different quantization indices.
We discuss fundamental design challenges like the best spatial deployment of nodes to minimize the energy consumption or maximize the sensing accuracy while guaranteeing network connectivity. This is done by developing a quantization theory of heterogeneous reproduction points. We will discuss the characteristics of such a heterogeneous quantization theory and
show that some of the standard results of the traditional quantization theory, including Gersho's conjecture, do not hold.

Bio: Hamid Jafarkhani is a Chancellor's Professor at the Department of Electrical Engineering and Computer Science, University of California, Irvine, where he is also the Director of Center
for Pervasive Communications and Computing and the Conexant-Broadcom Endowed Chair. Among his awards are the IEEE Marconi Prize Paper Award in Wireless Communications, the IEEE Communications Society Award for Advances in Communication, and the IEEE Eric E. Sumner Award.
Dr. Jafarkhani is listed as a highly cited researcher in http://www.isihighlycited.com. According to the Thomson Scientific, he is one of the top 10 most-cited researchers in the field of "computer science" during 1997-2007. He is the 2017 Innovation Hall of Fame Inductee at the University of Maryland's School of Engineering, a Fellow of AAAS, an IEEE Fellow, and the author of the book "Space-Time Coding: Theory and Practice."

Contact Liliana Chavarria lchavarr@caltech.edu at 626-395-4715
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