Three-dimensional WSN coverage optimization based on multistrategy improved sparrow search

Miao Guo; Pingzhang Gou; Shun Mao; Baoyong Guo

doi:10.1117/12.2686838

6 August 2023 Three-dimensional WSN coverage optimization based on multistrategy improved sparrow search

Miao Guo, Pingzhang Gou, Shun Mao, Baoyong Guo

Proceedings Volume 12781, International Conference on Optoelectronic Information and Functional Materials (OIFM 2023); 127812S (2023) https://doi.org/10.1117/12.2686838
Event: 2023 International Conference on Optoelectronic Information and Functional Materials (OIFM 2023), 2023, Guangzhou, JS, China

Abstract

To improve the regional coverage of 3D wireless sensor networks, a three-dimensional wireless sensor network coverage optimization method (MSSA-3D) based on multi-strategy improved sparrow search is proposed. Firstly, a dynamic backward learning strategy is introduced to improve the sparrow search algorithm by redeploying mobile nodes and updating the position of out-of-bounds nodes according to the boundary restriction strategy. Secondly, the location of the nodes is adjusted using the direction guidance factor to balance the global and local search capabilities of the algorithm. Finally, the final deployment location of the mobile nodes is determined according to the center-of-mass perturbation strategy, thus completing the 3D wireless sensor network area coverage optimization. The simulation experimental results show that compared with CS, Hybrid-MOEA and CSPM, the area coverage of MSSA-3D is improved by 1.68%, 7.69% and 9.73% respectively.

Citation Download Citation

Miao Guo, Pingzhang Gou, Shun Mao, and Baoyong Guo "Three-dimensional WSN coverage optimization based on multistrategy improved sparrow search", Proc. SPIE 12781, International Conference on Optoelectronic Information and Functional Materials (OIFM 2023), 127812S (6 August 2023); https://doi.org/10.1117/12.2686838

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