Phase optimization for control/fusion applications in dynamically composed sensor networks
Paper in proceeding, 2013

The variable acquisition of distributed sensor perception promises an effective utilization of these data across different applications. Multiple observations enable an increase in the quality of the system output. However, the dynamic composition disables all off-line optimization approaches, especially for sensor-application-scheduling. This paper addresses the need for an online adjustment of periodically working sensors and fusion/control applications. Based on a number of common goals - e.g., minimization of the variance of sensor data or the age of data sets - we deduce different metrics. For one aspect, the number of input counts, we propose a mathematical description and apply related optimizations. We use an an example analysis to illustrate further research goals. © 2013 IEEE.

Author

S. Zug

Otto von Guericke Universitaet Magdeburg

A. Dietrich

Otto von Guericke Universitaet Magdeburg

C. Steup

Otto von Guericke Universitaet Magdeburg

T. Brade

Thomas Petig

Chalmers, Computer Science and Engineering (Chalmers), Networks and Systems (Chalmers)

ROSE 2013 - 2013 IEEE International Symposium on Robotic and Sensors Environments, Proceedings

130-135
978-146732938-5 (ISBN)

Subject Categories

Robotics

DOI

10.1109/ROSE.2013.6698431

ISBN

978-146732938-5

More information

Latest update

9/6/2018 1