Computational environmental models aid sensor placement optimization

Sensors used in protective applications are typically placed on perimeters or over areas in an evenly distributed pattern. However, such patterns may actually be sub-optimal, since environmental factors may make some forms of attack more or less likely than others, We describe a protective application of sensors for detecting underwater threats in an urban estuary environment. We demonstrate that environmental information, derived from a computational river current model, can be utilized to optimize sensor placement, increasing detection rates and decreasing the number of required sensors. Simulation results show a significant improvement in detection for a given number of sensors; alternatively, fewer sensors can be used while still maintaining the detection rate of a conventional approach.