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Cooperative DE-Based Localization Algorithm for Wireless Communication Network

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Abstract

Although the conventional differential evolution (DE) localization algorithm provides reasonable localization results, its improvement in localization performance is limited. Considering the distance information between the tags being an effective way to improve localization performance, this paper proposes a novel cooperative DE-based localization algorithm by presenting the localization process and the fitness function, which contains the distance information between the tags. Specifically, our method first utilizes the conventional DE algorithm to provide the initial values of the tags. Then, according to the initial values, the distance information between the tags is fully utilized to improve the localization performance. The simulation results demonstrate our algorithm’s effectiveness in improving the localization performance and simultaneously realizing the localization of all tags.

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Some data generated or used during the study are available from the corresponding author by request.

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Acknowledgements

This work was supported in part by the National Natural Science Foundation of China under Grant 62001272.

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Authors and Affiliations

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

    Ying Gao, Bin Xia & Liye Zhang

  2. College of Architecture and Information Engineering, Shandong Vocational College of Industry, Zibo, China

    Ying Gao

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

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Gao, Y., Xia, B. & Zhang, L. Cooperative DE-Based Localization Algorithm for Wireless Communication Network. Int J Wireless Inf Networks 30, 306–315 (2023). https://doi.org/10.1007/s10776-023-00604-y

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