Article Details

Title · Authors · Abstract · Keywords · DOI · References

Optimized DV-Hop Positioning Algorithm Based on Coati Optimization Algorithm

ZHANG Xiao, JIANG Jinjing, LI Xin, PENG Tong

(School of Information Engineering, Zhejiang Ocean University, Zhoushan 316022, China)

Section:Computer Technology · Vol. 2025, Issue 2 · Pages:16-23,32 · 2096-4706(2025)02-0016-09 · CLC number:TP18 · Document code:A · DOI:10.19850/j.cnki.2096-4706.2025.02.004

Abstract

In view of the problems of large positioning accuracy error and poor positioning stability in the DV-Hop (Distance Vector-Hop) algorithm of wireless sensor network positioning algorithms, a DV-Hop optimized positioning method based on the Coati Optimization Algorithm (COA) is put forward. Firstly, this method makes use of multi-communication radius to accurately calculate the number of hops between nodes. At the same time, by applying the strategy of weighted hop distance, it precisely corrects the average hop distance of unknown nodes. Subsequently, the Coati Optimization Algorithm is adopted to replace the traditional trilateral measurement method for estimating coordinate positions, and finally the node positioning coordinates are obtained. To verify the effectiveness of the proposed method, the improved algorithm proposed in this paper is experimentally verified. The result demonstrates that under the same conditions, in scenarios with different numbers of anchor nodes, different communication radii and different total numbers of nodes, the average positioning error of the improved algorithm is respectively reduced by 61.64%, 47.24% and 65.11% compared with the traditional DV-Hop algorithm, thus proving that the proposed improved algorithm has good positioning accuracy and relatively good stability.

Keywords

DV-Hop algorithm; Coati Optimization Algorithm; multi-communication radius; weighted hop distance; node positioning

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Funding

Key Special Project of National Natural Science Foundation of China (62341127)

About the authors

Zhang Xiao (January 2001-), female, Han ethnicity, from Nanyang, Henan Province, is currently pursuing a master's degree in wireless sensor networks; Jiang Jinjing (1999.04-), female, Han ethnicity, from Xining, Qinghai, is currently pursuing a master's degree in channel estimation and deep learning; Li Xin (1962.06-), male, Han ethnicity, Beijing native, professor, PhD, research direction: wireless channel modeling; Corresponding author: Peng Tong (December 1985-), male, Han ethnicity, from Jinan, Shandong, professor, PhD, research direction: wireless communication technology.