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On the Complexity of Computing Minimum Energy Consumption Broadcast Subgraphs

机译:关于计算最小能耗广播子图的复杂性

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We consider the problem of computing an optimal range assignment in a wireless network which allows a specified source station to perform a broadcast operation. In particular, we consider this problem as a special case of the following more general combinatorial optimization problem, called Minimum Energy Consumption Broadcast Subgraph (in short, MECBS): Given a weighted directed graph and a specified source node, find a minimum cost range assignment to the nodes, whose corresponding transmission graph contains a spanning tree rooted at the source node. We first prove that MECBS is not approximable within a sub-logarithmic factor (unless P=NP). We then consider the restriction of MECBS to wireless networks and we prove several positive and negative results, depending on the geometric space dimension and on the distance-power gradient. The main result is a polynomial-time approximation algorithm for the NP-hard case in which both the dimension and the gradient are equal to 2: This algorithm can be generalized to the case in which the gradient is greater than or equal to the dimension.
机译:我们考虑在无线网络中计算最佳范围分配的问题,该无线网络允许指定的源站执行广播操作。特别是,我们认为这个问题是以下更通用的组合优化问题的特殊情况,称为最小能耗广播子图(简称,MECBS):给定加权指示图和指定的源节点,找到最小的成本范围分配到节点,其相应的传输图包含生根于源节点的生成树。我们首先证明MECBS在子对数因子(除非P = NP)内不可近似。然后,我们考虑对MECBS对无线网络的限制,并且我们证明了几何和负面结果,这取决于几何空间尺寸和距离 - 功率梯度。主要结果是用于NP - 硬壳的多项式近似算法,其中维度和梯度等于2:该算法可以广泛地推广到梯度大于或等于维度的情况。

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