Data fusion algorithm of wireless sensor network based on clustering and fuzzy logic

Xiuwu Yu, Wei Peng (), Ke Zhang, Zixiang Zhou and Yong Liu
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Xiuwu Yu: University of South China
Wei Peng: University of South China
Ke Zhang: University of South China
Zixiang Zhou: University of South China
Yong Liu: Shenzhen University

Telecommunication Systems: Modelling, Analysis, Design and Management, 2024, vol. 86, issue 4, No 2, 617-626

Abstract: Abstract In order to reduce network energy consumption and prolong the network lifetime in wireless sensor networks, a data fusion algorithm named CFLDF is proposed. Firstly, upon completion of the arrangement of network nodes, network clustering is achieved using fuzzy c-means optimized by the improved butterfly optimization algorithm, and a data fusion model is established on the clustering structure. Then, reliable data is sent to the cluster head by the nodes with the assistance of a fuzzy logic controller, and data fusion is performed by the cluster head using a fuzzy logic algorithm. Finally, cluster heads transmit the fused data to the base station. Finally, the fused data is transmitted to the base station by the cluster heads. Simulation experiments are conducted to evaluate the CFLDF algorithm against the LEACH, LEACH-C, and SEECP algorithms. The results demonstrate that network energy consumption is effectively reduced and the network lifetime is extended by the CFLDF algorithm.

Keywords: Wireless sensor network; Data fusion; Fuzzy c-means; Butterfly optimization algorithm; Fuzzy logic (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s11235-024-01141-6

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