Phase optimization for control/fusion applications in dynamically composed sensor networks
Paper i 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.


S. Zug

Otto von Guericke University of Magdeburg

A. Dietrich

Otto von Guericke University of Magdeburg

C. Steup

Otto von Guericke University of Magdeburg

T. Brade

Thomas Petig

Chalmers, Data- och informationsteknik, Nätverk och system

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



Robotteknik och automation