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Polynomial-time approximation scheme for minimum connected dominating set under routing cost constraint in wireless sensor networks

机译:无线传感器网络中路由成本约束下最小连通支配集的多项式时间近似方案

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To reduce routing cost in wireless sensor networks, we study a problem of minimizing the size of connected dominating set D under constraint that for any two nodes u and v, m_D(u, v) ≤ α·m(u, v) where α is a constant, m_D(u, v) is the number of intermediate nodes on a shortest path connecting u and v through D and m(u, v) is the number of intermediate nodes in a shortest path between u and v in a given unit disk graph. We show that for α ≥ 5, this problem has a polynomial-time approximation scheme, that is, for any ε > 0, there is a polynomial-time (1 + ε)-approximation.
机译:为了降低无线传感器网络中的路由成本,我们研究了在u和v的任意两个节点m_D(u,v)≤α·m(u,v)的约束下使连接的控制集D的大小最小化的问题。是一个常数,m_D(u,v)是通过D连接u和v的最短路径上的中间节点数,而m(u,v)是给定u和v之间的最短路径上的中间节点数单位磁盘图。我们表明,对于α≥5,此问题具有多项式时间近似方案,即,对于任何ε> 0,都存在多项式时间(1 +ε)近似值。

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