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: International Workshop on Assessment and Future Directions of Nonlinear Model Predictive Control (NMPC '08). Proceedings of the International Workshop on Assessment and Future Directions of Nonlinear Model Predictive Control (Pavia, Italy 5-9 September, 2008)
Relation: http://sisdin.unipv.it/NMPC08/index.html
Publisher: NMPC '08
Resource Type: conference paper
Date: 2008
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/1959.13/932084
Identifier: uon:11253
Language: eng
Full Text

		Thumbnail	File	Description	Size	Format
View Details Download			ATTACHMENT02	Author final version	253 KB	Adobe Acrobat PDF	View Details Download