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- Title
基于改进麻雀搜索算法的3DDV-Hop 定位算法.
- Authors
高翔宇; 韩慧子; 孟亚男; 刘美
- Abstract
Aimed at the problem that the positioning accuracy of the classical 3DDV-Hop algorithm is not high, an improved 3DDV-Hop algorithm based on the optimization of the improved sparrow search algorithm is proposed. Firstly, the algorithm optimizes the hop count between sensor nodes through multiple communication radii optimization, and a dynamic weighting factor is introduced to improve the calculation accuracy of average hop distance during the average hop distance calculation; Secondly, on the basis of the sparrow search algorithm, the reverse learning strategy and firefly algorithm are integrated to optimize the population and position update iteration of the sparrow search algorithm, respectively. Finally, the unknown node coordinate calculation is transformed into the improved sparrow search algorithm optimization, and the improved sparrow search algorithm is used to replace the least squares method to calculate the unknown node coordinates, further improve the unknown node position calculation accuracy. Through the simulation verification of MATLAB, the results show that compared with the classical 3DDV-Hop algorithm and other related algorithms, the improved algorithm effectively improves the positioning accuracy.
- Publication
Computer Measurement & Control, 2024, Vol 32, Issue 5, p246
- ISSN
1671-4598
- Publication type
Article
- DOI
10.16526/j.cnki.11-4762/tp.2024.05.035