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Optimal sensor placement with terrain-based constraints and signal propagation effects
Proc. SPIE 7333, 73330S (2009); doi:10.1117/12.816662
Monday 13 April 2009
Orlando, FL, USA
Unattended Ground, Sea, and Air Sensor Technologies and Applications XI
Edward M. Carapezza
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Add to FacebookThis paper presents an algorithm for optimal sensor placement that allows one to find the number, types, and locations of sensors satisfying inhomogeneous coverage requirements and minimizing a specified cost function. The cost function can reflect the actual cost of sensors or other disincentives, e.g., the number of sensors, vulnerability, or emplacement costs of the sensors. The sensors are characterized in terms of a probability of detection, which takes into account signature propagation effects, such as geometrical spreading and inhomogeneous attenuation. The proposed approach incorporates many realistic requirements, e.g., existence of high-value objects, obstacles, forbidden emplacement areas, and perimeter protection. For large spatial grids, the strict optimal solution is, in general, difficult to calculate. A fast algorithm for finding a suboptimal but nonetheless highly satisfactory solution is developed. The developed algorithm is compared against a heuristic algorithm that places sensors one-by-one in the most poorly covered spots. Numerical simulations suggest that the algorithm for a suboptimal solution always outperforms the heuristic algorithm. Software for optimal sensor placement is presented and discussed.
© 2009 COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.
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Online May 05, 2009
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Sergey N. Vecherin, D. Keith Wilson and Chris L. Pettit, "Optimal sensor placement with terrain-based constraints and signal propagation effects",
Proc. SPIE 7333, 73330S (2009); doi:10.1117/12.816662
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