DV-Hop Positioning Method Based on Multi-Strategy Improved Sparrow Search Algorithm
Journal Title: Information Dynamics and Applications - Year 2024, Vol 3, Issue 2
Abstract
In order to address the problem of large positioning errors in non-ranging positioning algorithms for wireless sensor networks (WSN), this study proposes a Distance Vector-Hop (DV-Hop) positioning method based on the multi-strategy improved sparrow search algorithm (SSA). The method first introduces circle chaotic mapping, adaptive weighting factor, Gaussian variation and an inverse learning strategy to improve the iteration speed and optimization accuracy of the sparrow algorithm, and then uses the improved SSA to estimate the position of the unknown node. Experimental results show that, compared with the original method, the improved DV-Hop algorithm has significantly improved the positioning accuracy.
Authors and Affiliations
Wenli Lei, Jinping Han, Jiawei Bao, Kun Jia
Keywords
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- EP ID EP752495
- DOI https://doi.org/10.56578/ida030205
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