WSN node localization based on improved sparrow search algorithm optimization

Zhen Jiang; Weiwei Hu; Huibin Qin

doi:10.1117/12.2602966

2 July 2021 WSN node localization based on improved sparrow search algorithm optimization

Zhen Jiang, Weiwei Hu, Huibin Qin

Proceedings Volume 11887, International Conference on Sensors and Instruments (ICSI 2021); 1188708 (2021) https://doi.org/10.1117/12.2602966
Event: International Conference on Sensors and Instruments 2021, 2021, Qingdao, China

Abstract

Aiming at the problem that DV-Hop algorithm leads to large positioning error when nodes are in irregular areas, a DVHop algorithm optimized by improved sparrow search algorithm (ISSA)is proposed. Firstly, the maximum hop distance error is used to correct the hop distance from the unknown node to each anchor node to reduce the estimated distance error. Secondly, Levy flight is introduced to enhance the ability of sparrow search algorithm to jump out of local optimum, and adopting Powell local search to enhanced convergence of the algorithm. Finally, the simulation results show that in irregular areas, compared with the classic DV-Hop algorithm, the positioning error of the improved algorithm is greatly reduced, and the positioning accuracy is effectively improved.

Citation Download Citation

Zhen Jiang, Weiwei Hu, and Huibin Qin "WSN node localization based on improved sparrow search algorithm optimization", Proc. SPIE 11887, International Conference on Sensors and Instruments (ICSI 2021), 1188708 (2 July 2021); https://doi.org/10.1117/12.2602966

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