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Construction of Optimal Data Aggregation Trees for Wireless Sensor Networks

机译:用于无线传感器网络的最佳数据聚集树的构建

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This paper considers the problem of constructing data gathering trees in a wireless sensor network for a group of sensor nodes to send collected information to a single sink node. Sensors form application-directed groups and the sink node communicates with the group members, called source nodes, to gather the desired data using a multicast tree rooted at the sink node [7]. The data gathering tree contains the sink node, all the source nodes, and some other non-source nodes. Our goal of constructing such a data gathering tree is to minimize the number of non-source nodes to be included in the tree so as to save energies of as many non-source nodes as possible. It can be shown that the optimization problem is NP-hard. We first propose an approximation algorithm with a performance ratio of four, and then give a distributed algorithm corresponding to the approximation algorithm. Extensive simulations are performed to study the performance of the proposed algorithm. The results show that the proposed algorithm can find a tree of a good approximation to the optimal tree and has a high degree of scalability.
机译:本文考虑为一组传感器节点构建无线传感器网络中的数据收集树的问题,以将收集的信息发送到单个汇聚节点。传感器形成应用程序定向组和汇聚节点与组成员通信,称为源节点,以使用从宿节点的多播树收集所需的数据[7]。数据收集树包含宿节点,所有源节点和一些其他非源节点。我们构建这种数据收集树的目标是最小化要在树中包含的非源节点的数量,以便尽可能多地节省多个非源节点的能量。可以表明优化问题是NP-HARD。我们首先提出具有四个性能比的近似算法,然后给出对应于近似算法的分布式算法。进行广泛的模拟以研究所提出的算法的性能。结果表明,该算法可以找到最佳树的良好近似的树,并且具有高度的可扩展性。

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