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Wireless Sensor Network Distributed Data Collection Strategy Based on the Regional Correlated Variability of Perceptive Area

Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 269)

Abstract

On account of the energy saving problem in wireless sensor network (WSN), this paper proposes the method that classifies sensing area according to the similarity of variability of sensing in terms of fuzzy clustering. Through the head of a cluster in a similar area to sample data to represent approximately collection of the regional sensing data. We through a test manifests data collection of partitioned similar sensing area will implement well in data monitoring and it will reduce the total energy consumption, reduce the computing task for data fusion and lengthen the WSN life circle.

Keywords

Fuzzy clustering Similar sensing area Energy saving 

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Copyright information

© Springer Science+Business Media Dordrecht 2014

Authors and Affiliations

  1. 1.Shandong Institute of Commerce and TechnologyChina National Engineering Research Center for Agricultural Products LogisticsJinanChina
  2. 2.National Engineering Research Center for Agricultural Products LogisticsJinanChina

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