无线传感器网络中基于数据融合的聚类层次

2009 International Conference on Computational Intelligence and Software Engineering Pub Date : 2009-12-28 DOI:10.1109/CISE.2009.5367123

Kai Lin, Tongyang Liu, H. Ge

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引用次数: 1

摘要

为了避免无线传感器网络中数据过多和平衡能量消耗，提出了一种基于数据融合的数据融合聚类结构。设计了数据传输的聚类模块和多跳树。仿真实验结果表明，所提出的CHDF能够平衡网络能耗，延长网络寿命。

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A Clustering Hierarchy Based on Data Fusion in Wireless Sensor Networks

For the sake of avoiding the data abundance and balancing the energy consumption in wireless sensor networks, a data fusion clustering hierarchy based on data fusion (CHDF) is proposed. The clustering module and multi-hop tree are designed for data transmission. The result of simulation experiment shows that the proposed CHDF can balance energy consumption and prolong the lifetime of network.

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2009 International Conference on Computational Intelligence and Software Engineering

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