CSO Cooperative Localization Algorithm in UWB Sensor Network

A high localization precision is obtained by the traditional chicken swarm optimization (CSO) localization algorithms that have a good convergence and simple calculation operations. However, the ranging data between the location tags is underutilized, which results in a limited improvement of the lo...

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Bibliographic Details
Published in:Wireless personal communications Vol. 130; no. 1; pp. 579 - 592
Main Authors: Yu, Mingjie, Xia, Bin, Gao, Ying, Zhang, Liye
Format: Journal Article
Language:English
Published: New York Springer US 01.05.2023
Springer Nature B.V
Subjects:
Accuracy
Algorithms
Communications Engineering
Computer Communication Networks
Engineering
Localization
Methods
Networks
Optimization algorithms
Positioning
Sensors
Signal,Image and Speech Processing
Simulation
Tags
Positioning accuracy
Cooperative localization
Chicken swarm optimization algorithm
Ultra wideband sensor network
ISSN:0929-6212, 1572-834X
Online Access:Get full text
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Summary:A high localization precision is obtained by the traditional chicken swarm optimization (CSO) localization algorithms that have a good convergence and simple calculation operations. However, the ranging data between the location tags is underutilized, which results in a limited improvement of the localization precision. In order to enhance the localization precision, a novel CSO cooperative localization algorithm is proposed, and an objective function containing the ranging data between the location tags is developed. During the positioning procedure, conventional CSO positioning method uses the ranging data between the base station and the location tag to provide the initial location. On the basis of this initial location, the ranging data between the location tags is then applied for precise positioning. The simulation outcomes indicate that the novel algorithm could enhance efficiently the localization performance, and complete the synchronous positioning of all the location tags, compared to the conventional CSO algorithm.
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ISSN:0929-6212
1572-834X
DOI:10.1007/s11277-023-10299-2