Source detection algorithms for dynamic contaminants based on the analysis of a hydrodynamic limit
This work addresses the problem of contaminant source detection for environmental monitoring, but the results are preliminary and incremental.
The paper proposes an algorithm for detecting contaminant sources using dynamic sensor networks, based on a global probabilistic optimization problem and analysis of the hydrodynamic limit. Numerical results demonstrate its effectiveness.
In this work we propose and numerically analyze an algorithm for detection of a contaminant source using a dynamic sensor network. The algorithm is motivated using a global probabilistic optimization problem and is based on the analysis of the hydrodynamic limit of a discrete time evolution equation on the lattice under a suitable scaling of time and space. Numerical results illustrating the effectiveness of the algorithm are presented.