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Fusion Function Placement Algorithm for Distributed Data Fusion Application in Wireless Sensor Networks

机译:用于无线传感器网络中分布式数据融合应用的融合功能放置算法

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Distributed data fusion application in Wireless Sensor Networks is very promising, because the change from centralized model to distributed model will average the computation of data fusion algorithm consequently average power consumption in sink node and more importantly placement data fusion functions in networks will decrease data transmission cost and sink node can easily and efficiently re-task different and multiple applications for the same network structure. However, to achieve these advantages data fusion functions need to be placed on optimal node with minimal power consumption and to be dynamically transferred between networks nodes to prevent certain nodes from being exhausted of power. In this paper, a fusion function placement algorithm is proposed for this issue. The simulation results of proposed algorithm and comparison with other algorithm show that our algorithm has better performance including distance to optimal node after initial placement, the delay of fusion function placement and control overhead.
机译:无线传感器网络中的分布式数据融合应用非常有前途,因为从集中模型到分布式模型的变化将平均数据融合算法的计算,因此水槽节点的平均功耗和网络中的更重要的放置数据融合功能将降低数据传输成本汇总节点可以很容易且有效地重新任务为同一网络结构的不同和多个应用程序。然而,为了实现这些优点,数据融合功能需要放置在最佳节点上,功耗最小,并且在网络节点之间动态传输,以防止某些节点耗尽功率。本文提出了一种融合功能放置算法。建议算法的仿真结果与其他算法的比较表明,我们的算法具有更好的性能,包括初始放置后的最佳节点的距离,融合功能放置和控制开销。

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