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Cooperative positioning of UAV internet of things based on optimization algorithm

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Abstract

Unmanned Aerial Vehicle (UAV) Internet of things have been widely used in military and civilian fields such as rescue, disaster relief, urban planning. Positioning service is the core technology for UAVs to perform various tasks. However, the UAV may be attacked by external conditions, resulting in its inability to obtain self-location information during mission. For the positioning problem of UAV signal interference, this paper proposes a cooperative positioning of UAV based on optimization algorithm. In order to solve the difficulty of UAV positioning, we propose the following solutions. Firstly, we construct different numbers of beacon nodes by using the flight information of UAVs in different cycles. Secondly, the unknown number of the positioning to be solved of the UAV is reduced to improve the accuracy and speed of the subsequent optimization algorithm. Thirdly, A multi-objective optimization model is established of the UAV motion parameters under inequality constraints. And we utilize a penalty function to convert the optimization model into a minimal value solution problem under no constraints. Finally, the positioning results of each UAV are obtained by the optimization algorithm.

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Availability of data and materials

The datasets used and analysed during the current study are available from the corresponding author on reasonable request.

Abbreviations

UAV:

Unmanned aerial vehicle

EKF:

Extended Kalman filter

CNN:

Convolutional neural networks

NF:

Nonlinear regression

ROBN:

Range only based method

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Acknowledgements

I would like to thank Sen Chen, Tianyi Zheng and Chi Duan for their hard work in the data collection stage.

Funding

Supported by project of Shenzhen University stability support plan (20200829114939001), project of Shenzhen Science and Technology Plan Project (GJHZ20180929154602092), project of shenzhen science and technology innovation committee (JCYJ20190809145407809), project of shenzhen Institute of Information Technology School-level Innovative Scientific Research Team (TD2020E001), Shenzhen Institute of Technology Project (2111010), Guangdong Philosophy and Social Sciences Planning Project (GD21CYJ21), Guangdong Province Key Laboratory of Popular High Performance Computers (2017B030314073), The key planning project of education and scientific research of Shenzhen Institute of Education(ZD2021003), Guangdong Province science and technology hall project (602024477 K).

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Authors and Affiliations

  1. Bingtuan Xingxin Vocational and Technical College, Urumqi, 830023, China

    Hao Hu

  2. Guangdong Provincial Key Laboratory of Optical Information Materials and Technology & Institute of Electronic Paper Displays, South China Academy of Advanced Optoelectronics, South China Normal University, Guangzhou, 510006, China

    YuLin Chen

  3. Shenzhen Institute of Information Technology, Shenzhen, 518172, China

    Bao Peng

  4. Shenzhen Institute of Technology, Shenzhen, 518116, China

    Zhenjun Li

  5. Guangdong Province Engineering Center of China-Made High Performance Data Computing System, Shenzhen, 518172, China

    Qibao Wu

  6. Tongji University, Shanghai, 200092, China

    ZiRan Lin

  7. Shenzhen Polytechnic, Shenzhen, 518055, China

    Xiaolei Wang

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  1. Hao Hu
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Contributions

YC and HH designed the research. BP and ZL conducted the literature review and wrote this manuscript. QW and XW performed the numerical calculations and derived the formulae in the paper. All authors contributed to the literature review, discussion of the results and edited the manuscript.

Corresponding author

Correspondence to YuLin Chen.

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Hu, H., Chen, Y., Peng, B. et al. Cooperative positioning of UAV internet of things based on optimization algorithm. Wireless Netw 30, 4495–4505 (2024). https://doi.org/10.1007/s11276-022-03062-1

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