Multivariate reduction in wireless sensor networks.
| dc.contributor.author | Silva Junior, Orlando | |
| dc.contributor.author | Aquino, André Luiz Lins de | |
| dc.contributor.author | Mini, Raquel Aparecida de Freitas | |
| dc.contributor.author | Figueiredo, Carlos Maurício Seródio | |
| dc.date.accessioned | 2012-08-02T18:53:33Z | |
| dc.date.available | 2012-08-02T18:53:33Z | |
| dc.date.issued | 2009 | |
| dc.description.abstract | In wireless sensor networks, energy consumption is generally associated with the amount of sent data once communication is the activity of the network that consumes more energy. This work proposes an algorithm based on "Principal Component Analysis "to perform multivariate data reduction. It is considered air quality monitoring scenario as case study. The results show that, using the proposed technique, we can reduce the data sent preserving its representativeness. Moreover, we show that the energy consumption and delay are reduced proportionally to the amount of reduced data | pt_BR |
| dc.identifier.citation | SILVA JUNIOR, O. et al. Multivariate reduction in wireless sensor networks. In: IEEE Symposium on Computers and Comunications. 2009. Sousse. Anais... Washington: IEEE Computer Society, 2009. p.726-729. Disponível em: <http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5202248>. Acesso em: 02 ago. 2012. | pt_BR |
| dc.identifier.uri | http://www.repositorio.ufop.br/handle/123456789/1232 | |
| dc.language.iso | en_US | pt_BR |
| dc.title | Multivariate reduction in wireless sensor networks. | pt_BR |
| dc.type | Trabalho apresentado em evento | pt_BR |
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