Efficient clustering scheme considering non-uniform correlation distribution for ubiquitous sensor networks
Efficient clustering scheme considering non-uniform correlation distribution for ubiquitous sensor networks
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DOI：
10.1093/ietfec/e90-a.7.1344
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发表时间：
2007-07-01
影响因子：
0.5
通讯作者：
Yokoyama, Mitsuo
中科院分区：
文献类型：
--
作者：
Maeda, Daisuke;Uehara, Hideyuki;Yokoyama, Mitsuo
我们提出了一种新的聚类方案，该方案考虑了由实验环境属性得出的非均匀相关分布。首先，我们研究了实际环境的熵特性，然后表明其空间相关性不是均匀分布的。在此基础上，提出了一种有效的数据聚集策略。通过在非均匀相关分布下的仿真，我们证明了所提出的方案在节点能耗特性和网络生命周期方面的优势。
We propose a novel clustering scheme considering non-uniform correlation distribution derived by experimental environment property. Firstly, we investigate the entropy property of actual environment, and then show that its spatial correlation is not uniformly distributed. Based on this result, we present the clustering strategy which provides the efficient data aggregation. Through the simulation under the non-uniform correlation distribution, we show the advantage of the proposed scheme in terms of the energy consumption property per node and the network lifetime.