Open AccessA distributed localization method for mobile nodes
Author(s) -
Chao Liu,
Qinghua Luo,
Xiaolang Yan,
Yang Shao,
Kexin Yang,
Ju Chen
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1207/1/012001
Subject(s) - robustness (evolution) , particle filter , computer science , wireless sensor network , node (physics) , propagation of uncertainty , position (finance) , filter (signal processing) , mathematical optimization , algorithm , mathematics , computer network , engineering , biochemistry , chemistry , structural engineering , finance , economics , computer vision , gene
In Wireless Sensor Networks(WSNs), the location services are the basis of many application scenarios. However, for the range-based localization method, the localization accuracy and the system robustness of the distributed localization system are difficult to guarantee, due to the uncertainty of the distance estimation and position calculation are affected by the node state and communication uncertainty. In this paper, we propose the distributed localization method based on anchor node selection and Particle Filter optimization. In this method, we analyze the uncertainty of error propagation in the Least-squares method and find that there is a proportional relation between localization error and uncertainty propagation. According to this relationship, we propose the corresponding optimization criterion methods of anchor nodes. To optimize the initial localization results, we present the distributed localization method based on anchor node optimal selection and Particle Filter. Simulation results show that the methods we proposed could effectively improve the localization accuracy of the mobile nodes and the robustness of the system.