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The Polymatroid Steiner Problems

机译:多类拟物Steiner问题

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The Steiner tree problem asks for a minimum cost tree spanning a given set of terminals S is contained in V in a weighted graph G = (V, E, c), c : E → R~+. In this paper we consider a generalization of the Steiner tree problem, so called Polymatroid Steiner Problem, in which a polymatroid P = P( V) is defined on V and the Steiner tree is required to span at least one base of P (in particular, there may be a single base S is contained in V). This formulation is motivated by the following application in sensor networks - given a set of sensors S = {s_1, ... , s_k}, each sensor s_i can choose to monitor only a single target from a subset of targets X_i, find minimum cost tree spanning a set of sensors capable of monitoring the set of all targets X = X_1 ∪ ... ∪ X_k. The Polymatroid Steiner Problem generalizes many known Steiner tree problem formulations including the group and covering Steiner tree problems. We show that this problem can be solved with the polylogarithmic approximation ratio by a generalization of the combinatorial algorithm of Chekuri et. al. [7]. We also define the Polymatroid directed Steiner problem which asks for a minimum cost arborescence connecting a given root to a base of a polymatroid P defined on the terminal set S. We show that this problem can be approximately solved by algorithms generalizing methods of Charikar et al [6].
机译:施泰纳树问题要求在给定的终端集合S上包含一个最小的成本树,该树包含在加权图中G =(V,E,c),c:E→R〜+的V中。在本文中,我们考虑了Steiner树问题的一个广义化,即所谓的Polymatroid Steiner问题,其中在V上定义了一个多类Matroid P = P(V),并且Steiner树需要跨越至少一个P的底(特别是,则V中可能包含一个基数S)。此公式的产生是受以下传感器网络应用的启发-给定一组传感器S = {s_1,...,s_k},每个传感器s_i可以选择仅监视目标X_i的子集中的单个目标,以找到最低成本跨越一组传感器的树,该传感器能够监视所有目标X = X_1 ... ... X_k。多类Steiner问题概括了许多已知的Steiner树问题公式,包括该组和覆盖Steiner树问题。我们证明了通过Chekuri等人的组合算法的推广,可以用多对数近似比解决这个问题。等[7]。我们还定义了多向类定向Steiner问题,该问题要求将给定根与终端集S上定义的多向类P的基数连接的最小成本树状结构。我们证明,可以通过将Charikar等人的方法概括化的算法来近似解决此问题[6]。

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