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CSO Cooperative Localization Algorithm in UWB Sensor Network

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Abstract

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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Data Availability

The datasets generated during the current study are available from the corresponding author on reasonable request.

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Funding

This work was supported in part by the National Natural Science Foundation of China (62001272) and in part by Shandong Provincial Natural Science Foundation, China (ZR2022MF330).

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Authors and Affiliations

  1. School of Computer Science and Technology, Shandong University of Technology, Shandong, 255000, China

    Mingjie Yu, Bin Xia, Ying Gao & Liye Zhang

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  1. Mingjie Yu
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  2. Bin Xia
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  3. Ying Gao
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  4. Liye Zhang
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Correspondence to Bin Xia.

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Yu, M., Xia, B., Gao, Y. et al. CSO Cooperative Localization Algorithm in UWB Sensor Network. Wireless Pers Commun 130, 579–592 (2023). https://doi.org/10.1007/s11277-023-10299-2

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