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Two new algorithms for the Min-Power Broadcast problem in static ad hoc networks

机译:静态自组织网络中最小功率广播问题的两种新算法

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In this paper we address the Min-Power Broadcast problem in wireless ad hoc networks. Given a network with an identified source node w, the Min-Power Broadcast (MPB) problem is to assign transmission range to each node such that communication from w to other nodes is possible and the total energy consumption is minimized. As the problem is NP-Hard we first propose a simulated annealing algorithm for the MPB problem. Utilizing a special node selection mechanism in its neighborhood structure the algorithm is designed in a way enabling an efficient power consumption evaluation and search for neighboring solutions. We then combine the algorithm with a decomposition approach to enhance its performance. This is achieved by decomposing the master problem and performing metropolis chain of the simulated annealing only on the much smaller subproblems resulting from decomposition. Results from a comprehensive computational study indicate the efficiency and effectiveness of the proposed algorithms. (C) 2007 Elsevier Inc. All rights reserved.
机译:在本文中,我们解决了无线自组织网络中的最小功率广播问题。给定具有确定的源节点w的网络,最小功率广播(MPB)问题是将传输范围分配给每个节点,以使从w到其他节点的通信成为可能,并且总能耗最小。由于问题是NP-Hard,因此我们首先针对MPB问题提出了一种模拟退火算法。通过在邻域结构中使用特殊的节点选择机制,该算法的设计方式使得能够进行有效的功耗评估并搜索相邻的解决方案。然后,我们将算法与分解方法结合起来以增强其性能。这是通过分解主问题并仅对分解产生的小得多的子问题执行模拟退火的都市链来实现的。综合计算研究的结果表明了所提出算法的效率和有效性。 (C)2007 Elsevier Inc.保留所有权利。

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