Speaker: Prof. Subrakanthi Dey
Title: Estimation of Dynamical Systems via Wireless Sensor Networks: Resource Allocation and Performance Optimization
Abstract:
Decentralized detection/estimation via wireless sensor networks has
become an active research area over the last decade or so due to the
resource constraints faced by sensor networks and the uncertainly of
the wireless channels used for sensor transmissions. In this talk we
provide a brief background of the current state of the art of this
research and outline some of the research activities we are
interested in, specifically in the area of decentralized estimation
of dynamical systems, the focus being optimization of the
performance of such estimation problems under power/bandwidth
constraints etc. We then investigate a specific problem: an outage
probability minimization problem for state estimation of linear
dynamical systems using multiple sensors, where an outage is defined
as an event when the state estimation error exceeds a pre-determined
threshold. The sensors amplify and forward their measurements (using
uncoded analog transmission) to a remote fusion centre over wireless
fading channels. For stable systems, the resulting infinite horizon
problem can be formulated as a constrained average cost Markov
decision process (MDP) control problem. A suboptimal power allocation
that is less computationally intensive is proposed, and numerical
results demonstrate very close performance to the power allocation
obtained from the solution of the MDP based average cost optimality
equation. Motivated by practical considerations, assuming that
sensors can transmit with only a finite number of power levels,
optimization of the values of these levels is also considered using
a stochastic approximation technique. In the case of unstable
systems, finite horizon and discounted cost formulations of the
outage minimization problem are presented and solved. An extension
to the problem of minimization of the expected error covariance is
also studied.
Bio:
Subhrakanti Dey (M'96) was born in Calcutta, India, in 1968. He
received the B.Tech. and M.Tech. degrees from the Department of
Electronics and Electrical Communication Engineering, Indian
Institute of Technology, Kharagpur, India, in 1991 and 1993,
respectively, and the Ph.D. degree from the Department of Systems
Engineering, Research School of Information Sciences and
Engineering, Australian National University, Canberra, Australia, in
1996.
He has been with the Department of Electrical and Electronic
Engineering, University of Melbourne, Parkville, Australia, since
February 2000, where he is currently a full Professor. From
September 1995 to September 1997 and September 1998 to February
2000, he was a postdoctoral Research Fellow with the Department of
Systems Engineering, Australian National University. From September
1997 to September 1998, he was a post-doctoral Research Associate
with the Institute for Systems Research, University of Maryland,
College Park. His current research interests include networked
control systems, wireless communications and networks, signal
processing for sensor networks, and stochastic and adaptive
estimation and control.
Dr. Dey currently serves on the Editorial Board of the IEEE
Transactions on Signal Processing and Elsevier Systems and Control
Letters. He was also an Associate Editor for the IEEE Transactions
on Automatic Control during 2005-2007. He is a Senior Member of IEEE.