Um Algoritmo de Amostragem Multivariada Para Redes de Sensores Sem Fio

Orlando Silva JuniorAndre L. L. AquinoRaquel A. F. Mini

A wireless sensor network (WSN) is energy constrained, and the extensionof its lifetime is an important issue in its design. A WSN can be used tocollect and process data of environment that can be, in some cases, multivariate.In this way, to help the data processing, this work proposes a multivariatesampling algorithm which uses component analysis techniques to rank the dataand then to select only the data more relevant to the application. Simulationresults show that our technique reduces the data keeping its representativeness.In addition, the energy consumption and delay on the network are reduced.

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