Abstract
A graph G is a Generalized Disk Graph if for some dimension \(\eta \ge 1\), a non-decreasing sub-linear function f and natural number t, each vertex \(v_i\) can be assigned a length \(l_i\) and set \(P_i \subseteq \mathbb {R}^\eta \) of t points such that \(v_iv_j\) is an edge of G if and only if \(l_i \le l_j\) and \(d(P_i, P_j) \le l_if(l_j/l_i)\,+\,l_if(1)\), where \(d(\cdot , \cdot )\) is the least distance between points in either set. Generalized disk graphs were introduced as a model of wireless network interference and have been shown to be dramatically more accurate than disk graphs or other previously known graph classes. However, their properties have not been studied extensively before.
We give a geometric representation of these graphs as intersection graphs of convex shapes, relate them to other geometric intersection graph classes, and solve several important optimization problems on these graphs using the geometric representation; either exactly (in two-dimensions) or approximately (in higher dimensions).
Work supported by grant 174484-051 from Icelandic Research Fund and grant 208348-0091 from Icelandic Student Innovation Fund.
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Notes
- 1.
We sometimes consider \(f(x)=x\) as an example; it is not sublinear but it satisfies all important properties we need (e.g., it is grounded w.r.t. hyperplane \(h=1\)).
References
Agarwal, P.K., Katz, M.J., Sharir, M.: Computing depth orders for fat objects and related problems. Comput. Geom. 5(4), 187–206 (1995)
Alt, H., et al.: Approximate motion planning and the complexity of the boundary of the union of simple geometric figures. Algorithmica 8(1), 391–406 (1992)
Aronov, B., Bar-On, G., Katz, M.J.: Resolving SINR queries in a dynamic setting. In: Chatzigiannakis, I., Kaklamanis, C., Marx, D., Sannella, D. (eds.), 45th International Colloquium on Automata, Languages, and Programming, ICALP 2018, 9–13 July 2018, Prague, Czech Republic, volume 107 of LIPIcs, pp. 145:1–145:13. Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2018)
Ásgeirsson, E.I., Halldórsson, M.M., Tonoyan, T.: Universal framework for wireless scheduling problems. In: 44th International Colloquium on Automata, Languages, and Programming, ICALP 2017, 10–14 July 2017, Warsaw, Poland, pp. 129:1–129:15 (2017)
Catanzaro, D., et al.: Max point-tolerance graphs. Discret. Appl. Math. 216, 84–97 (2017)
Chan, T.M.: Polynomial-time approximation schemes for packing and piercing fat objects. J. Algorithms 46(2), 178–189 (2003)
Chan, T.M., Har-Peled, S.: Approximation algorithms for maximum independent set of pseudo-disks. Discret. Comput. Geom. 48(2), 373–392 (2012)
Clark, B.N., Colbourn, C.J., Johnson, D.S.: Unit disk graphs. Discret. Math. 86(1–3), 165–177 (1990)
Edmonds, J., Karp, R.M.: Theoretical improvements in algorithmic efficiency for network flow problems. J. ACM 19(2), 248–264 (1972)
Efrat, A., Katz, M.J., Nielsen, F., Sharir, M.: Dynamic data structures for fat objects and their applications. Comput. Geom. 15(4), 215–227 (2000)
Erlebach, T., Fiala, J.: Independence and coloring problems on intersection graphs of disks. In: Bampis, E., Jansen, K., Kenyon, C. (eds.) Efficient Approximation and Online Algorithms. LNCS, vol. 3484, pp. 135–155. Springer, Berlin (2006). https://doi.org/10.1007/11671541_5
Erlebach, T., Jansen, K., Seidel, E.: Polynomial-time approximation schemes for geometric intersection graphs. SIAM J. Comput. 34, 1302–1323 (2005)
Halldorsson, M.M., Tonoyan, T.: How well can graphs represent wireless interference? In: Proceedings of the Forty-Seventh Annual ACM Symposium on Theory of Computing. STOC 2015, pp. 635–644. Association for Computing Machinery, New York, NY, USA (2015)
Jamison, R.E., Mulder, H.M.: Tolerance intersection graphs on binary trees with constant tolerance 3. Discret. Math. 215(1), 115–131 (2000)
Kammer, F., Tholey, T.: Approximation algorithms for intersection graphs. Algorithmica 68(2), 312–336 (2012)
Kantor, E., Lotker, Z., Parter, M., Peleg, D.: The topology of wireless communication. J. ACM 62(5), 37:1-37:32 (2015)
Keil, J.M., Mitchell, J.S.B., Pradhan, D., Vatshelle, M.: An algorithm for the maximum weight independent set problem on outerstring graphs. Comput. Geom. 60, 19–25 (2017). The Twenty-Seventh Canadian Conference on Computational Geometry August 2015
Kratochvíl, J.: String graphs. I. The number of critical nonstring graphs is infinite. J. Comb. Theory, Ser. B 52(1), 53–66 (1991)
Moscibroda, T., Wattenhofer, R.: The complexity of connectivity in wireless networks. In: INFOCOM, pp. 1–13. IEEE (2006)
Paul, S.: On characterizing proper-max-point tolerance graphs (2020)
Soto, M., Caro, C.T.: p-BOX: a new graph model. Discret. Math. Theor. Comput. Sci. 17(1), 169–186 (2015)
van Kreveld, M.: On fat partitioning, fat covering and the union size of polygons. Comput. Geom. 9(4), 197–210 (1998)
Ye, Y., Borodin, A.: Elimination graphs. ACM Trans. Algorithms 8, 2 (2012)
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Arnþórsson, Í.M., Chaplick, S., Gylfason, J.S., Halldórsson, M.M., Reynisson, J.M., Tonoyan, T. (2021). Generalized Disk Graphs. In: Lubiw, A., Salavatipour, M., He, M. (eds) Algorithms and Data Structures. WADS 2021. Lecture Notes in Computer Science(), vol 12808. Springer, Cham. https://doi.org/10.1007/978-3-030-83508-8_9
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