WSN node localization algorithm of sparrow search based on elite opposition-based learning and Levy flight

Xiuwu Yu, Wei Peng () and Yong Liu
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Xiuwu Yu: University of South China
Wei Peng: University of South China
Yong Liu: University of South China

Telecommunication Systems: Modelling, Analysis, Design and Management, 2023, vol. 84, issue 4, No 6, 531 pages

Abstract: Abstract In order to improve localization accuracy of localization algorithm based on received signal strength indication in wireless sensor network (WSN), a WSN node localization algorithm based on sparrow search improved by elite opposition-based learning and Levy flight (SSELF) is proposed. Firstly, the sparrow population is initialized by using the chaotic map to enhance population diversity and accelerate algorithm convergence speed. Secondly, the elite opposition-based learning strategy is applied to increase the diversity of the sparrow population and improve global search capability. Then, the Levy flight strategy is adopted to enhance the ability to jump out of local optimal solution. Finally, the SSELF is used to estimated the positions of unknown nodes.The simulation results demonstrate that the proposed SSELF outperforms the four comparison algorithms in terms of localization accuracy.

Keywords: Wireless sensor network; Range-based; Received signal strength indicator; Node localization; Chaotic map (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s11235-023-01062-w

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