A three-dimensional DV-Hop algorithm based on the improved grey wolf algorithm for wireless sensor networks

Shuai Ye; Xiuwu Yu; Yong Liu

doi:10.1117/12.3005916

10 October 2023 A three-dimensional DV-Hop algorithm based on the improved grey wolf algorithm for wireless sensor networks

Shuai Ye, Xiuwu Yu, Yong Liu

Author Affiliations +

Proceedings Volume 12799, Third International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023); 1279948 (2023) https://doi.org/10.1117/12.3005916
Event: 3rd International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023), 2023, Kuala Lumpur, Malaysia

Abstract

Location technology has become one of the core technologies of the Internet of Things, especially for wireless sensor networks. The DV-Hop algorithm is used in various situations as one of the representative algorithms. Aiming at the large positioning error of the DV-Hop algorithm, this paper proposes a three-dimensional DV-Hop algorithm based on the improved Grey Wolf algorithm (TDIGW). First of all, the algorithm refines the number of hops through a multicommunication radius strategy, which reduces errors caused by the number of node hops. Then, mean square error is introduced to optimize the average hop distance of the beacon nodes. Finally, the grey wolf algorithm with dynamic weight factor optimization is used instead of least squares to calculate the coordinate positions of the unknown nodes. The simulation results show that compared with the traditional 3D-DVHop algorithm and other algorithms. the average localization error of this algorithm is reduced by 20.13%, 12.62% and 8.98% respectively. The algorithm proposed in this paper reduces the localization error effectively

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Shuai Ye, Xiuwu Yu, and Yong Liu "A three-dimensional DV-Hop algorithm based on the improved grey wolf algorithm for wireless sensor networks", Proc. SPIE 12799, Third International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023), 1279948 (10 October 2023); https://doi.org/10.1117/12.3005916

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