Abstract
A point p is 1-well illuminated by a set of n point lights if there is, at least, one light interior to each half-plane with p on its border. We consider the illumination range of the lights as a parameter to be optimized. So we minimize the lights’ illumination range to 1-well illuminate a given point p. We also present two generalizations of 1-good illumination: the orthogonal good illumination and the good Θ-illumination. For the first, we propose an optimal linear time algorithm to optimize the lights’ illumination range to orthogonally well illuminate a point. We present the E-Voronoi Diagram for this variant and an algorithm to compute it that runs in \(\mathcal{O}(n^4)\) time. For the second and given a fixed angle Θ ≤ π, we present a linear time algorithm to minimize the lights’ illumination range to well Θ-illuminate a point.
When this paper was finished, the third author was supported by a FCT fellowship, grant SFRH/BD/28652/2006.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Abellanas, M., Bajuelos, A., Hernández, G., Matos, I.: Good Illumination with Limited Visibility. In: Proceedings of the International Conference of Numerical Analysis and Applied Mathematics, pp. 35–38. Wiley-VCH Verlag, Chichester (2005)
Abellanas, M., Bajuelos, A., Hernández, G., Matos, I., Palop, B.: Minimum Illumination Range Voronoi Diagrams. In: Proceedings of the 2nd International Symposium on Voronoi Diagrams in Science and Engineering, pp. 231–238 (2005)
Abellanas, M., Canales, S., Hernández, G.: Buena iluminación. Actas de las IV Jornadas de Matemática Discreta y Algorítmica, 239–246 (2004)
Asano, T., Ghosh, S.K., Shermer, T.C.: Visibility in the plane. In: Sack, J.-R., Urrutia, J. (eds.) Handbook of Computational Geometry, pp. 829–876. Elsevier, Amsterdam (2000)
Avis, D., Beresford-Smith, B., Devroye, L., Elgindy, H., Guévremont, H., Hurtado, F., Zhu, B.: Unoriented Θ-maxima in the plane: complexity and algorithms. Siam J. Computation 28(1), 278–296 (1998)
Blum, M., Floyd, R.W., Pratt, V., Rivest, R., Tarjan, R.: Time bounds for selection. Journal of Computer and System Sciences 7, 448–461 (1973)
Canales, S.: Métodos heurísticos en problemas geométricos, Visibilidad, iluminación y vigilancia. Ph.D. thesis, Universidad Politécnica de Madrid (2004)
Chan, M.Y., Chen, D., Chin, F.Y.L., Wang, C.A.: Construction of the Nearest Neighbor Embracing Graph of a Point Set. Journal of Combinatorial Optimization 11(4), 435–443 (2006)
Chiu, S.N., Molchanov, I.S.: A new graph related to the directions of nearest neighbours in a point process. Advances in Applied Probability 35(1), 47–55 (2003)
Efrat, A., Har-Peled, S., Mitchell, J.S.B.: Approximation Algorithms for Two Optimal Location Problems in Sensor Networks. In: Proceedings of the 14th Annual Fall Workshop on Computational Geometry, MIT Press, Cambridge (2004)
Karlsson, R., Overmars, M.: Scanline Algorithms on a Grid. BIT Numerical Mathematics 28(2), 227–241 (1988)
Megiddo, N.: Linear-time algorithms for linear programming in ℝ3 and related problems. SIAM Journal on Computing 12(4), 759–776 (1983)
Kung, H., Luccio, F., Preparata, F.: On finding the maxima of a set of vectors. Journal of ACM 22, 469–476 (1975)
Ntafos, S.: Watchman routes under limited visibility. Computational Geometry: Theory and Applications 1(3), 149–170 (1992)
Smith, J., Evans, W.: Triangle Guarding. In: Proceedings of the 15th Canadian Conference on Computational Geometry, pp. 76–80 (2003)
Urrutia, J.: Art Gallery and Illumination Problems. In: Sack, J.-R., Urrutia, J. (eds.) Handbook of Computational Geometry, pp. 973–1027. Elsevier, Amsterdam (2000)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Abellanas, M., Bajuelos, A., Matos, I. (2007). Some Problems Related to Good Illumination. In: Gervasi, O., Gavrilova, M.L. (eds) Computational Science and Its Applications – ICCSA 2007. ICCSA 2007. Lecture Notes in Computer Science, vol 4705. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74472-6_1
Download citation
DOI: https://doi.org/10.1007/978-3-540-74472-6_1
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74468-9
Online ISBN: 978-3-540-74472-6
eBook Packages: Computer ScienceComputer Science (R0)