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Explorando a Correlação Espacial na Coleta de Dados em Redes de Sensores sem Fio

Leandro A. VillasDaniel L. GuidoniRegina B. AraujoAzzedine BoukercheAntonio A. F. Loureiro

Dense sensor networks are typically deployed for fine-grain monitoringin a wide range of applications. Due to the high density nodes, it is verylikely that spatially correlated information or redundant data are detected bynearby nodes when these are sensing an event. Exploiting the spatial correlationcan save energy, a key issue for Wireless Sensor Networks. In this work,we propose an Energy-Aware Spatial Correlation mechanism (ESC) based oncorrelation regions. The sensed information of a region is forwarded to the sinkby only one node inside that region. Also, the area of the correlation regionscan be changed dynamically by the sink node to achieve the required accuracyof the sensed information. Simulation results show that using ESC, the informationabout the event can be sensed with 97% of accuracy and save 75% residualenergy of nodes within the area of the observed phenomena.

http://www.lbd.dcc.ufmg.br/colecoes/sbrc/2011/0030.pdf

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