Share Email Print

Proceedings Paper

Predictive control and resource management of a distributed coastal monitoring sensor network
Author(s): Ashit Talukder; Anand Panangadan
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

A novel model predictive control (MPC) technique is used as a general framework for resource management in sensor networks. The MPC formulation adapts the sensor network system parameters that impact the energy consumption rate (such as sensor sampling rates) to variations in the criticality of the phenomenon being monitored. This approach is illustrated using two examples. The first is based on a sensor network where the data is temporal in nature. The second is based on an coastal environment monitoring network where the data is spatiotemporal in nature and event criticality shows variation in both space and time. Simulation results from both these applications are presented that demonstrate the functioning of the proposed predictive controller in sensor network control.

Paper Details

Date Published: 17 March 2008
PDF: 9 pages
Proc. SPIE 6977, Optical Pattern Recognition XIX, 69770Q (17 March 2008); doi: 10.1117/12.785897
Show Author Affiliations
Ashit Talukder, Jet Propulsion Lab./NASA (United States)
Anand Panangadan, CHLA/USC (United States)

Published in SPIE Proceedings Vol. 6977:
Optical Pattern Recognition XIX
David P. Casasent; Tien-Hsin Chao, Editor(s)

© SPIE. Terms of Use
Back to Top