A Generic Multi-scale Modeling Framework for Reactive Observing Systems: An Overview*

Leana Golubchik1, David Caron1, Abhimanyu Das1, Amit Dhariwal1, Ramesh Govindan1, David Kempe1, Carl Oberg1, Abhishek Sharma1, Beth Stauffer1, Gaurav Sukhatme1, and Bin Zhang1

1 University of Southern California, Los Angeles, CA 90089
leana@cs.usc.edu

Abstract. Observing systems facilitate scientific studies by instrumenting the real world and collecting corresponding measurements, with the aim of detecting and tracking phenomena of interest. A wide range of critical environmental monitoring objectives in resource management, environmental protection, and public health all require distributed observing systems. The goal of such systems is to help scientists verify or falsify hypotheses with useful samples taken by the stationary and mobile units, as well as to analyze data autonomously to discover interesting trends or alarming conditions. In our project, we focus on a class of observing systems which are embedded into the environment, consist of stationary and mobile sensors, and react to collected observations by reconfiguring the system and adapting which observations are collected next. In this paper, we give an overview of our project in the context of a marine biology application.

*This research has been funded by the NSF DDDAS 0540420 grant. It has also been funded in part by the NSF Center for Embedded Networked Sensing Cooperative Agreement CCR-0120778, the National Oceanic and Atmospheric Administration Grant NA05NOS47812228, and the NSF EIA-0121141 grant.

LNCS 3993, pp. 514-521.

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