231 research outputs found

    Graph Treewidth and Geometric Thickness Parameters

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    Consider a drawing of a graph GG in the plane such that crossing edges are coloured differently. The minimum number of colours, taken over all drawings of GG, is the classical graph parameter "thickness". By restricting the edges to be straight, we obtain the "geometric thickness". By further restricting the vertices to be in convex position, we obtain the "book thickness". This paper studies the relationship between these parameters and treewidth. Our first main result states that for graphs of treewidth kk, the maximum thickness and the maximum geometric thickness both equal k/2\lceil{k/2}\rceil. This says that the lower bound for thickness can be matched by an upper bound, even in the more restrictive geometric setting. Our second main result states that for graphs of treewidth kk, the maximum book thickness equals kk if k2k \leq 2 and equals k+1k+1 if k3k \geq 3. This refutes a conjecture of Ganley and Heath [Discrete Appl. Math. 109(3):215-221, 2001]. Analogous results are proved for outerthickness, arboricity, and star-arboricity.Comment: A preliminary version of this paper appeared in the "Proceedings of the 13th International Symposium on Graph Drawing" (GD '05), Lecture Notes in Computer Science 3843:129-140, Springer, 2006. The full version was published in Discrete & Computational Geometry 37(4):641-670, 2007. That version contained a false conjecture, which is corrected on page 26 of this versio

    Energy Complexity of Distance Computation in Multi-hop Networks

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    Energy efficiency is a critical issue for wireless devices operated under stringent power constraint (e.g., battery). Following prior works, we measure the energy cost of a device by its transceiver usage, and define the energy complexity of an algorithm as the maximum number of time slots a device transmits or listens, over all devices. In a recent paper of Chang et al. (PODC 2018), it was shown that broadcasting in a multi-hop network of unknown topology can be done in polylogn\text{poly} \log n energy. In this paper, we continue this line of research, and investigate the energy complexity of other fundamental graph problems in multi-hop networks. Our results are summarized as follows. 1. To avoid spending Ω(D)\Omega(D) energy, the broadcasting protocols of Chang et al. (PODC 2018) do not send the message along a BFS tree, and it is open whether BFS could be computed in o(D)o(D) energy, for sufficiently large DD. In this paper we devise an algorithm that attains O~(n)\tilde{O}(\sqrt{n}) energy cost. 2. We show that the framework of the Ω(n){\Omega}(n) round lower bound proof for computing diameter in CONGEST of Abboud et al. (DISC 2017) can be adapted to give an Ω~(n)\tilde{\Omega}(n) energy lower bound in the wireless network model (with no message size constraint), and this lower bound applies to O(logn)O(\log n)-arboricity graphs. From the upper bound side, we show that the energy complexity of O~(n)\tilde{O}(\sqrt{n}) can be attained for bounded-genus graphs (which includes planar graphs). 3. Our upper bounds for computing diameter can be extended to other graph problems. We show that exact global minimum cut or approximate ss--tt minimum cut can be computed in O~(n)\tilde{O}(\sqrt{n}) energy for bounded-genus graphs

    Three ways to cover a graph

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    We consider the problem of covering an input graph HH with graphs from a fixed covering class GG. The classical covering number of HH with respect to GG is the minimum number of graphs from GG needed to cover the edges of HH without covering non-edges of HH. We introduce a unifying notion of three covering parameters with respect to GG, two of which are novel concepts only considered in special cases before: the local and the folded covering number. Each parameter measures "how far'' HH is from GG in a different way. Whereas the folded covering number has been investigated thoroughly for some covering classes, e.g., interval graphs and planar graphs, the local covering number has received little attention. We provide new bounds on each covering number with respect to the following covering classes: linear forests, star forests, caterpillar forests, and interval graphs. The classical graph parameters that result this way are interval number, track number, linear arboricity, star arboricity, and caterpillar arboricity. As input graphs we consider graphs of bounded degeneracy, bounded degree, bounded tree-width or bounded simple tree-width, as well as outerplanar, planar bipartite, and planar graphs. For several pairs of an input class and a covering class we determine exactly the maximum ordinary, local, and folded covering number of an input graph with respect to that covering class.Comment: 20 pages, 4 figure
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