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Sackey, S.H., Chen, J., Henry, A.J., et al. (2019) A Clustering Approach Based on Genetic Algorithm for Wireless Sensor Network Localization. 2019 IEEE 15th International Conference on Computational Intelligence and Security (CIS), Macao, 13-16 December 2019, 54-58.
https://doi.org/10.1109/CIS.2019.00020

has been cited by the following article:

• TITLE: UWB Positioning System Based on Genetic Algorithm

  AUTHORS: Bin Xia, Xianzhi Zheng, Liye Zhang, Lei Zhao

  KEYWORDS: Location, Ultra Wide Band, Genetic Algorithm

  JOURNAL NAME: Journal of Computer and Communications, Vol.9 No.4, April 30, 2021

  ABSTRACT: In order to enhance the positioning accuracy, a UWB positioning system based on genetic algorithm is proposed. Firstly, it uses the DW1000 module to measure the distance, and preprocesses the measured data to remove noise. Then, a positioning equation is established according to the processed distance information, and the genetic algorithm is used to solve the equation to obtain the coordinates of the unknown node. The experimental results show that the measured positioning accuracy is within 30 cm, which means that the system can obtain a good positioning effect and meet the need for precise positioning.