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Sensor Scheduling: An Online Approach

Ling Shi

2013-12-29

Abstract: 
        In this talk, we will discuss several online schedulers which govern the sensor data transmission to a remote
state estimator in order to save the sensor transmission energy and the communication bandwidth. We show that the remote
estimation quality is improved under these online schedulers compared with under offline ones. Limitations of these online
schedulers are also discussed.

About speaker:

     Ling Shi received his B.S. degree in Electrical and Electronic Engineering from The Hong Kong University of Science and
Technology in June 2002 and Ph.D. degree in Control and Dynamical Systems from The California Institute of Technology in
August 2008. He is currently an assistant professor in the Department of Electronic and Computer Engineering at The Hong
Kong University of Science and Technology. His research interests include networked control systems, wireless sensor net-
works, and distributed estimation and control.