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

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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.

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Acknowledgements

The authors would like to thank University of south China for the support.

Funding

This work was in part supported by Hunan Provincial Natural Science Foundation of China (2024JJ5338)； University of South China Postdoctoral Research star up Fund (230XQD053)； The National Natural Science Foundation of China (No. 11875164).

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Authors and Affiliations

  1. School of Resource and Environment and Safety Engineering, University of South China, Hengyang, 421001, China

    **uwu Yu, Wei Peng, Ke Zhang & Zixiang Zhou

  2. College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen, 518000, China

    Yong Liu

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  1. **uwu Yu
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  2. Wei Peng
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  3. Ke Zhang
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  4. Zixiang Zhou
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Contributions

**uwu Yu and Weipeng wrote the main manuscript text,Yong Liu ,Ke Zhang and Zixiang Zhou checked the paper.All authors reviewed the manuscript.

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Correspondence to Wei Peng.

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Yu, X., Peng, W., Zhang, K. et al. Data fusion algorithm of wireless sensor network based on clustering and fuzzy logic. Telecommun Syst (2024). https://doi.org/10.1007/s11235-024-01141-6

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