Associated Clustering Strategy for Wireless Sensor Network
Associated Clustering Strategy for Wireless Sensor Network
复制标题
无线传感器网络的关联聚类策略
DOI：
10.1155/2014/817234
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发表时间：
2014-04
影响因子：
2.3
通讯作者：
Yang, Xudong
中科院分区：
文献类型：
--
作者：
Sun, Yajuan;Wang, Huanzhao;Zhang, Kewang;Yang, Xudong
针对土壤水分监测问题，提出了一种基于时空数据相关性的无线传感器网络关联分簇策略，该策略保证了簇内节点之间具有良好的数据相关性，从而使簇首节点能够更有效地进行数据融合。从而节省了每个节点的能量，延长了整个传感器网络的生命周期。在关联聚类策略中，通过对节点数据的相关系数分析，建立了动态模型和相关特性模型，根据节点数据的相关特性划分不同的簇。仿真结果表明，我们提出的关联聚类策略在土壤水分测量中效果很好。此外，与传统的随机分簇相比，基于数据相关性的关联分簇策略在簇首处的数据融合效率更高，且每个簇的性能更好。
We consider the soil moisture monitoring problem and propose a WSN associated clustering strategy based on spatiotemporal data correlation, which ensures that the nodes within each cluster can share a good data correlation and consequently makes the cluster head do the data fusion more efficiently. As a result, the energy of each node will be saved and the lifetime of the whole sensor network will be extended. In the associated clustering strategy, the different clusters can be divided by the correlation characteristics of nodes data, which is based on a dynamic model and a correlation characteristics model after the correlation coefficient analysis. Simulation results show that our proposed associated clustering strategy works very well in soil moisture measurement. Moreover, as compared with the traditional random clustering, the associated clustering strategy based on data correlation achieves better performance for each cluster, and will be more efficient in data fusion at the cluster heads.
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DOI：
10.1109/tpds.2010.174
发表时间：
2011-06-01
影响因子：
5.3
作者：
Jiang, Hongbo;Jin, Shudong;Wang, Chonggang
通讯作者：
Wang, Chonggang
DOI：
10.1098/rspa.2005.1568
发表时间：
2005-12
期刊：
Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences
影响因子：
--
作者：
V. Isham;D. Cox;I. Rodríguez‐Iturbe;A. Porporato;S. Manfreda
通讯作者：
V. Isham;D. Cox;I. Rodríguez‐Iturbe;A. Porporato;S. Manfreda
DOI：
10.1109/nbis.2011.36
发表时间：
2011-09
期刊：
2011 14th International Conference on Network-Based Information Systems
影响因子：
--
作者：
S. Kondo;A. Kanzaki;T. Hara;S. Nishio
通讯作者：
S. Kondo;A. Kanzaki;T. Hara;S. Nishio
DOI：
10.1109/csa.2008.21
发表时间：
2008-10
期刊：
International Symposium on Computer Science and its Applications
影响因子：
--
作者：
Myungho Yeo;Mi Sook Lee;S. Lee;Jaesoo Yoo
通讯作者：
Myungho Yeo;Mi Sook Lee;S. Lee;Jaesoo Yoo
DOI：
10.1109/agro-geoinformatics.2012.6311707
发表时间：
2012-09
期刊：
2012 First International Conference on Agro- Geoinformatics (Agro-Geoinformatics)
影响因子：
--
作者：
Linwei Sha
通讯作者：
Linwei Sha