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A Faster Distributed Approximation Scheme for the Connected Dominating Set Problem for Growth-Bounded Graphs

机译:一种更快的分布式近似方案,用于增长限制的连接主导集合问题

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We present a distributed algorithm for finding a (1 + ε)-approximation of a Minimum Connected Dominating Set in the class of Growth-Bounded graphs, which includes Unit Disk graphs. In addition, the computed Connected Dominating Set guarantees a constant stretch factor on the length of a shortest path with respect to the original graph and induces a subgraph of constant degree. The nodes do not require any positioning or distance information. The algorithm runs in O(T{sub}(MIS) + 1/ε{sup}(O(1)) · (log n){sup}*) synchronous rounds, where T{sub}(MIS) is the time for computing a Maximal Independent Set (MIS) in the network graph. Using the fastest known deterministic algorithm for computing a MIS, the total running time is O((log Δ + 1/ε{sup}(O(1))) · (log n){sup}*), where Δ is the maximum degree of the network graph. If one allows randomization, the running time reduces to O((log log n + 1/ε{sup}(O(1))) · (log n){sup}*) rounds.
机译:我们提出了一种用于查找(1 +ε)的分布式算法 - 在增长限制图类别中设置的最小连接的主导集合,包括单位盘图。另外,计算的连接的主导集合保证了相对于原始图的最短路径的长度的恒定拉伸因子,并引起恒定度的子图。节点不需要任何定位或距离信息。该算法在O(t {sub}(mis)+ 1 /ε{sup}(O(1))·(log n){sup} *)中运行,其中t {sub}(mis)是时间用于计算网络图中的最大独立集(MIS)。使用最快的已知确定性算法来计算MIS,总运行时间为O((logΔ+ 1 /ε{sup}(o(1)))·(log n){sup} *),其中Δ是网络图的最大程度。如果允许随机化,则运行时间将减少到O((日志日志n + 1 /ε{sup}(o(1)))·(log n){sup} *)舍入。

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