Plenary

Wednesday, May 24
8:30 am - 9:30 am

H. Vincent Poor
Princeton University

Wireless sensor networks (WSNs) can be distinguished from other types of wireless communication networks by three salient features: the primary application for which WSNs are used is inference (i.e., detection, estimation, mapping, etc.); the information sources generated at different terminals in WSNs are often correlated with one another due to the fact that the sensors are typically measuring a common underlying physical phenomenon; and the energy limitations are often more severe than in other networks due to the circumstances of deployment in hard-to-access locations. These features drive the design choices made in WSNs, and this talk will discuss several issues relating to these considerations. These issues include the effects on energy efficiency of various choices made at receivers and transmitters in wireless networks, the use of distributed and collaborative algorithms for inferential problems, and some relationships between these two issues.

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Biography:
H. Vincent Poor is the Michael Henry Strater Professor of Electrical Engineering at Princeton University, where he is involved in research and teaching in statistical signal processing and its applications in wireless networks and related fields. Among his publications in these areas is the recent book, Wireless Networks: Multiuser Detection in Cross-Layer Design. Dr. Poor is a member of the U.S. National Academy of Engineering and is a Fellow of the American Academy of Arts & Sciences, the IEEE and other organizations. During the 2003-04 academic year he was a Guggenheim Fellow, dividing a sabbatical leave among Imperial College, Stanford and Harvard. In 2005, he received the IEEE Education Medal.