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An Improved Approximation Algorithm for the Minimum Energy Consumption Broadcast Subgraph

机译:一种改进的最小能耗广播子图的近似算法

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In an ad-hoc wireless network each station has the capacity of modifying the area of coverage with its transmission power. Controlling the emitted transmission power allows to significantly reduce the energy consumption and so to increase the lifetime of the network. In this paper we focus on the Minimum Energy Consumption Broadcast Subgraph (MECBS) problem [1,2,6], whose objective is that of assigning a transmission power to each station in such a way that a message from a source station can be forwarded to all the other stations in the network with a minimum overall energy consumption, The MECBS problem has been proved to be inapproximable within (1 - ε)ln n unless NP is contained in DTIME(n~(O(log log n))) [2, 6], where n is the number of stations. In this work we propose a 2H_(n-1)-approximation greedy algorithm which, despite its simplicity, improves upon the only previously known ratio of 10.8 ln n [1] and considerably approaches the best-known lower bound on the approximation ratio.
机译:在Ad-hoc无线网络中,每个站都具有通过其传输功率修改覆盖区域的容量。控制发射的传输功率允许显着降低能量消耗等来增加网络的寿命。在本文中,我们专注于最小能耗广播子图(MECBS)问题[1,2,6],其目的是以可以转发来自源站的消息的方式为每个站分配传输功率对于具有最小总能耗的网络中的所有其他电台,MECBS问题已被证明在(1 - ε)LN N内被证明是不可逾越的,除非NP包含在DTime中(n〜(O(log log n))) [2,6],其中n是站的数量。在这项工作中,我们提出了2H_(N-1) - 千克贪婪算法,尽管其简单性,但是提高了10.8Ln N [1]的唯一已知比率,并且显着接近近似比的最佳已知的下限。

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