Silva Junior, OrlandoAquino, André Luiz Lins deMini, Raquel Aparecida de FreitasFigueiredo, Carlos Maurício Seródio2012-08-022012-08-022009SILVA 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.http://www.repositorio.ufop.br/handle/123456789/1232In 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 dataen-USTrabalho apresentado em evento