University of California, Riverside

Department of Electrical and Computer Engineering

Integration of Communication and Control for Wireless Sensor Networks

Integration of Communication and Control for Wireless Sensor Networks
Yasamin Mostofi
Department of Electrical Engineering, California Institute of Technology

Date: Monday, May 26, 2006
Time: 11:00 am
Location: Bourns A265

The advent of cheap embedded sensing, communication, computation and actuation units has created considerable interest in sensor network applications.  In order to solve the fundamental problems underlying these systems, multidisciplinary approaches are necessary.  In this talk, I will develop new theoretical foundations for sensor networks that are running real-time applications with the aim of integrating communication, estimation and control aspects of the problem. 

When considering estimation and control of dynamical systems over wireless links, most of the current work in literature applied data network design principles.  In the first part of the talk, I will show that the communication protocols and designs suitable for other already-existing applications like data networks may not be entirely applicable for control of a rapidly changing dynamical system.  I will then develop new design theories to improve the performance and stability of these applications.  I will prove that the optimum design is the one that balances information loss and communication noise according to the dynamics of the systems under control.  I will also show the role of cross-layer information paths and their impacts on the optimum design. 

In the second part of the talk, I will consider the effect of imperfect communication links on decentralized motion planning in mobile sensor networks.  The optimum sensing configuration in such networks is well studied for the perfect communication case.  However, the optimum configuration and decentralized ways of achieving it have not been explored extensively when considering imperfect communication channels.  I will show that the optimum sensing configuration can change considerably to allow for overlapping sensing regions in the presence of imperfect links. I will also introduce the concept of communication and sensing trade-offs that will arise in these networks.

About the speaker:

Yasamin Mostofi is a postdoctoral scholar in Electrical Engineering at California Institute of Technology.  She received her Bachelor in Electrical Engineering from Sharif University of Technology in 1997.  She then received her M.S. and Ph.D. in Electrical Engineering from Stanford University in 1999 and 2004.  Her research areas of interest include sensor networks, distributed sensing and estimation, wireless communication and control.
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