Distributed clustering-based aggregation algorithm for spatial correlated sensor networks

Article


Ma, Y., Guo, Y., Tian, X. and Ghanem, M. 2011. Distributed clustering-based aggregation algorithm for spatial correlated sensor networks. IEEE sensors journal. 11 (3), pp. 641-648. https://doi.org/10.1109/JSEN.2010.2056916
TypeArticle
TitleDistributed clustering-based aggregation algorithm for spatial correlated sensor networks
AuthorsMa, Y., Guo, Y., Tian, X. and Ghanem, M.
Abstract

In wireless sensor networks, it is already noted that nearby sensor nodes monitoring an environmental feature typically register similar values. This kind of data redundancy due to the spatial correlation between sensor observations inspires the research of in-network data aggregation. In this paper, an α -local spatial clustering algorithm for sensor networks is proposed. By measuring the spatial correlation between data sampled by different sensors, the algorithm constructs a dominating set as the sensor network backbone used to realize the data aggregation based on the information description/summarization performance of the dominators. In order to evaluate the performance of the algorithm a pattern recognition scenario over environmental data is presented. The evaluation shows that the resulting network achieved by our algorithm can provide environmental information at higher accuracy compared to other algorithms.

PublisherInstitute of Electrical and Electronics Engineers
JournalIEEE sensors journal
ISSN1530-437X
Publication process dates
Deposited26 Sep 2013
Output statusPublished
Digital Object Identifier (DOI)https://doi.org/10.1109/JSEN.2010.2056916
LanguageEnglish
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