Predictive power control of wireless sensor networks for closed loop control

Title: Predictive power control of wireless sensor networks for closed loop control
Creator: Quevedo, Daniel E.; Ahlén, Anders; Goodwin, Graham C.
Relation: Nonlinear Model Predictive Control: Towards New Challenging Applications p. 215-224
Relation: Lecture Notes in Control and Information Sciences 384/2009
Publisher Link: http://dx.doi.org/10.1007/978-3-642-01094-1_17
Publisher: Springer-Verlag
Resource Type: book chapter
Date: 2009
Description: We study a networked control architecture where wireless sensors are used to measure and transmit plant outputs to a remote controller. Packet loss probabilities depend upon the time-varying communication channel gains and the transmission powers of the sensors. Within this context, we develop a centralized stochastic nonlinear model predictive controller. It determines the sensor power levels by trading energy expenditure for expected plant state variance. To further preserve sensor energies, the power controller sends coarsely quantized power increment commands only when necessary. Simulations on measured channel data illustrate the performance achieved by the proposed controller.
Subject: wireless sensor networks; predictive control
Identifier: http://hdl.handle.net/1959.13/804829
Identifier: uon:6742
Identifier: ISBN:9783642010934
Rights: The original publication is available at www.springerlink.com
Language: eng
Full Text

		Thumbnail	File	Description	Size	Format
View Details Download			ATTACHMENT02	Author final version	242 KB	Adobe Acrobat PDF	View Details Download