Ali Ercan - Computer Graphics Laboratory

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Experimental Results - IDSQ

Sensor model:

Leader is the

centroid sensor

Others selected

one at a time by

leader

Sensor selection is

performed:

A. Nearest Neighbor

B. Mahalanobis Dist.

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Constrained Anisotropic Diffusion Routing Global knowledge of sensor properties: w/o global knowledge The node that locally maximizes M c Steepest gradient Composite Incremental updates Local computations

Experimental Results - IDSQ Sensor model: Leader is the centroid sensor Others selected one at a time by leader Sensor selection is performed: A. Nearest Neighbor B. Mahalanobis Dist.

Page 1 and 2: Scalable Information-Driven Sensor
Page 3 and 4: Introduction The paper presents 2 t
Page 5 and 6: Estimation Blief: Estimate: Uncerta
Page 7 and 8: Information Utility Measures
Page 9: Composite Objective Function Up til
Page 13 and 14: Experimental Results - CADR
Page 15: Conclusion A new approach to distri

Ali Ercan - Computer Graphics Laboratory

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