  A wireless sensor network can be used to collect and process environmental
data, which is often of multivariate nature. This work proposes a multivariate
sampling algorithm based on component analysis techniques in wireless sensor
networks. To improve the sampling, the algorithm uses component analysis
techniques to rank the data. Once ranked, the most representative data is
retained. Simulation results show that our technique reduces the data keeping
its representativeness. In addition, the energy consumption and delay to
deliver the data on the network are reduced.
