Performance optimization for continuous network localization

Chen, Liangming1,2; Liang, Chenyang3; Li, Yibei4; Mei, Jie3; Xie, Lihua4

2025

10.1016/j.automatica.2024.111903

AUTOMATICA   影响因子和分区

0005-1098

1873-2836

Recent advances in linear localization of sensor networks allow sensors to localize themselves by using inter-sensor measurements, such as distances, bearings and interior angles. According to earlier works, linear localization algorithms' performance is relatively poor, which, however, has not been adequately addressed in the existing literature. The aim of this paper is to improve the performance of linear and continuous localization algorithms. More specifically, we focus on improving three key aspects of linear localization algorithms' performance, i.e., the stability margin, convergence rate and robustness against measurement noises. Firstly, we propose a unified description for networks' linear localization algorithms, given different types of measurements, and show that the stability margin, convergence rate and robustness of linear localization algorithms are commonly determined by one parameter, , namely, the minimum eigenvalue of the network's localization matrix. . Secondly, by carefully choosing the decision variable, we formulate the performance optimization problem as an eigenvalue optimization problem, and show the non-differentiability of the eigenvalue optimization problem. Thirdly, we propose a distributed optimization algorithm, which guarantees the convergence to an optimal solution of the eigenvalue optimization problem. Finally, simulation examples validate the effectiveness of the proposed distributed optimization algorithm. (c) 2024 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.

Distributed network localization Angle rigidity Performance optimization Sensor networks Angle measurements Distributed algorithm

SCI

英语

第一

Shenzhen Key Laboratory of Control Theory and Intelligent Systems, China[ZDSYS20220330161800001] ; Guangdong Provincial Natural Science Foundation, China[2024A1515011523] ; National Natural Science Foundation of China["62473190","62073098"] ; Guangdong Basic and Applied Basic Research Foundation, China[2023B1515120018] ; Preeminent Youth Team Project of Guangdong Basic and Applied Basic Research Foundation, China[2024B1515040008]

Automation & Control Systems ; Engineering

Automation & Control Systems ; Engineering, Electrical & Electronic

WOS:001321907800001

PERGAMON-ELSEVIER SCIENCE LTD

Web of Science

1.Southern Univ Sci & Technol, Sch Syst Design & Intelligent Mfg, Shenzhen, Peoples R China
2.Southern Univ Sci & Technol, Shenzhen Key Lab Control Theory & Intelligent Syst, Shenzhen, Peoples R China
3.Harbin Inst Technol, Sch Mech Engn & Automat, Shenzhen, Peoples R China
4.Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore, Singapore

Chen, Liangming,Liang, Chenyang,Li, Yibei,et al. Performance optimization for continuous network localization[J]. AUTOMATICA,2025,171.

Chen, Liangming,Liang, Chenyang,Li, Yibei,Mei, Jie,&Xie, Lihua.(2025).Performance optimization for continuous network localization.AUTOMATICA,171.

Chen, Liangming,et al."Performance optimization for continuous network localization".AUTOMATICA 171(2025).