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A Spatial Correlation Based Data Aggregation Algorithm for Wireless Sensor Networks
Abstract:
Data aggregation is the important method to reduce data traffic and lower energy expenditure in wireless sensor networks (WSN). This paper analyzes the characteristics of data sampled by nodes, and gives the method to decide spatial correlation between neighboring nodes and the criteria to classify and decide data in WSN. On the basis of this, this paper proposes a spatial correlation based data aggregation algorithm for WSN, SCBD. SCBD classifies and decides data according to data criteria and spatial correlation among nodes in normal nodes and cluster heads at the same time, and then aggregates different types of data. The results show that SCBD outperforms RAA in terms of energy consumption, rate of data detection and quality of data aggregation.
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Pages:
655-659
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Online since:
January 2013
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