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Source detection algorithms for dynamic contaminants based on the analysis of a hydrodynamic limit

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.

preprint2015arXivOpen access
Sergio A. Almada MonterAmarjit BudhirajaJan Hannig
Computational Engineering, Finance, and Sciencemath.OCmath.PRmath.NAMultiagent Systems
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Open access3 authors5 topics
Imported metadata coverageMissing code, dataset, citation and institution fields are tracked without dominating the paper.Details
Citations: 0Reviews: 0Saves: 0Code: not linkedDataset: not linkedInstitutions: 0

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Sergio A. Almada MonterAmarjit BudhirajaJan Hannig

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