Sensor placement for optimal event characterization performance.

Abstract

Contaminant sensor placement is often cast as an optimization problem to minimize objectives such as the probability of failed detection or public health impact. In the case of an actual incident, the sensor network data will also be utilized for event characterization to estimate source location, size and hazard areas. We present a sensor placement methodology to optimize for event characterization performance, and also compare the results to traditional placement objectives.