We investigate the optimized configuration of sensor cameras to be placed in a suitably defined three-dimensional cubic region E, in order to maximize the coverage of a completely embedded cube C⊂E. The sensing regions associated with each of the cameras are convex, but not necessarily identical. In order to handle this important practical problem, we present mixed integer linear programming (MILP) and mixed integer nonlinear programming (MINLP) model formulations and propose corresponding solution approaches. Illustrative numerical results are presented, and certain application aspects are also discussed.
Global Optimization Approaches to Sensor Placement: Model Versions and Illustrative Results
Springer Optimization
2012-08-27
13 pages
Article/Chapter (Book)
Electronic Resource
English
Sensor camera network design , Continuous set covering problems in three-dimensions , Global optimization , Mixed integer linear and nonlinear model forms , Solution strategies , Illustrative numerical results Mathematics , Optimization , Aerospace Technology and Astronautics , Mathematical Modeling and Industrial Mathematics , Theory of Computation , Control and Systems Theory , Mathematics and Statistics
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