Title | ||
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Efficient Clustering Scheme Considering Non-uniform Correlation Distribution for Ubiquitous Sensor Networks |
Abstract | ||
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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. |
Year | DOI | Venue |
---|---|---|
2007 | 10.1093/ietfec/e90-a.7.1344 | IEICE Transactions |
Keywords | Field | DocType |
clustering strategy,non-uniform correlation distribution,entropy property,ubiquitous sensor networks,energy consumption property,efficient data aggregation,spatial correlation,efficient clustering scheme,experimental environment property,proposed scheme,network lifetime,actual environment,hierarchical routing,wireless sensor networks,energy efficiency,sensor network | Key distribution in wireless sensor networks,Topology,Spatial correlation,Hierarchical routing,Efficient energy use,Theoretical computer science,Real-time computing,Cluster analysis,Wireless sensor network,Data aggregator,Energy consumption,Mathematics | Journal |
Volume | Issue | ISSN |
E90-A | 7 | 0916-8508 |
Citations | PageRank | References |
2 | 0.41 | 8 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Daisuke Maeda | 1 | 5 | 1.17 |
Hideyuki Uehara | 2 | 54 | 12.14 |
Mitsuo Yokoyama | 3 | 66 | 9.51 |