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Randomized algorithms for approximating a Connected Dominating Set in Wireless Sensor Networks

机译:随机算法,用于近似无线传感器网络中的连通支配集

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A Connected Dominating Set (CDS) of a graph representing a Wireless Sensor Network can be used as a virtual backbone for routing through the network. Since the sensors in the network are constrained by limited battery life, we desire a minimal CDS for the network, a known NP-hard problem. In this paper we present three randomized algorithms for constructing a CDS. We evaluate our algorithms using simulations and compare them to the two-hop K2 algorithm and two other greedy algorithms from the literature. After pruning, the randomized algorithms construct a CDS that are generally equivalent in size to those constructed by K2 while being asymptotically better in time and message complexity. This shows the potential of significant energy savings in using a randomized approach as a result of the reduced complexity.
机译:表示无线传感器网络的图的连接控制集(CDS)可以用作虚拟主干,用于通过网络进行路由。由于网络中的传感器受电池寿命的限制,因此我们希望为网络提供最小的CDS,这是一个已知的NP难题。在本文中,我们提出了三种用于构建CDS的随机算法。我们使用仿真评估我们的算法,并将其与文献中的两跳K2算法和其他两个贪婪算法进行比较。修剪后,随机算法构造的CDS大小通常与K2构造的CDS相等,同时在时间和消息复杂度上渐近更好。这表明由于降低了复杂性,使用随机方法可显着节省能源。

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