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Electronics and Telecommunications Research Institute (한국전자통신연구원)
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An efficient dual layer data aggregation scheme in clustered wireless sensor networks

  • Fenting Yang (School of Electrical and Electronic Engineering, Wuhan Polytechnic University) ;
  • Zhen Xu (School of Electrical and Electronic Engineering, Wuhan Polytechnic University) ;
  • Lei Yang (School of Electrical and Electronic Engineering, Wuhan Polytechnic University)
  • Received : 2023.05.31
  • Accepted : 2024.01.23
  • Published : 2024.08.20
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Abstract

In wireless sensor network (WSN) monitoring systems, redundant data from sluggish environmental changes and overlapping sensing ranges can increase the volume of data sent by nodes, degrade the efficiency of information collection, and lead to the death of sensor nodes. To reduce the energy consumption of sensor nodes and prolong the life of WSNs, this study proposes a dual layer intracluster data fusion scheme based on ring buffer. To reduce redundant data and temporary anomalous data while guaranteeing the temporal coherence of data, the source nodes employ a binarized similarity function and sliding quartile detection based on the ring buffer. Based on the improved support degree function of weighted Pearson distance, the cluster head node performs a weighted fusion on the data received from the source nodes. Experimental results reveal that the scheme proposed in this study has clear advantages in three aspects: the number of remaining nodes, residual energy, and the number of packets transmitted. The data fusion of the proposed scheme is confined to the data fusion of the same attribute environment parameters.

Keywords

Acknowledgement

This work was supported by the National Natural Science Foundation of China under Grant No. 62072319 and Science and Technology Plan Project of Hubei Provincial Department of Transportation under Grant No. 2014-721-1-1.

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