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An IoV Route Planning Service Based on LEO Constellation Satellites

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Simulation Tools and Techniques (SIMUtools 2020)

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Abstract

With the arrival of Internet of Things, the Internet of Vehicles (IoV) is also developing rapidly. However, the construction of ground network in remote areas is difficult and expensive. Additionally, for urban areas, the traffic situations are sudden, the load pressure of the ground network is too high in this period. This paper introduces a method of IoV path planning based on LEO constellation satellite. The satellite first conducts global situational awareness, the control center makes the initial route and then obtains the optimal path according to Dijkstra algorithm and the Ant Colony Optimization (DiAC). It makes up for the defects of ground communication. Simulation results show that the vehicle network path planning based on STK+MATLAB designed in this paper is feasible and can relieve the ground traffic pressure and network load pressure.

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Acknowledgments

This work was supported in part by the National Natural Science Foundation of China (No. 61571104), the Sichuan Science and Technology Program (No. 2018JY0539), the Key projects of the Sichuan Provincial Education Department (No. 18ZA0219), the Fundamental Research Funds for the Central Universities (No. ZYGX2017KYQD170), the CERNET Innovation Project (No. NGII20190111), the Fund Project (Nos. 61403110405, 315075802), and the Innovation Funding (No. 2018510007000134). The authors wish to thank the reviewers for their helpful comments. Dr. Dingde Jiang is corresponding author of this paper (email: jiangdd@uestc.edu.cn).

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Authors and Affiliations

  1. School of Astronautics and Aeronautic, University of Electronic Science and Technology of China, Chengdu, 611731, China

    Jingyang Zhang & Dingde Jiang

  2. Shanghai Electro-Mechanical Engineering Institute, Shanghai, 201109, China

    Bo Liu & WeiJiong Zhang

Authors
  1. Jingyang Zhang
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  2. Bo Liu
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  3. WeiJiong Zhang
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  4. Dingde Jiang
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Corresponding author

Correspondence to Dingde Jiang .

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Editors and Affiliations

  1. Embry-Riddle Aeronautical University, Daytona Beach, FL, USA

    Houbing Song

  2. School of Astronautics and Aeronautic, UESTC, Chengdu, China

    Dingde Jiang

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© 2021 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Zhang, J., Liu, B., Zhang, W., Jiang, D. (2021). An IoV Route Planning Service Based on LEO Constellation Satellites. In: Song, H., Jiang, D. (eds) Simulation Tools and Techniques. SIMUtools 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 369. Springer, Cham. https://doi.org/10.1007/978-3-030-72792-5_18

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  • DOI: https://doi.org/10.1007/978-3-030-72792-5_18

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-72791-8

  • Online ISBN: 978-3-030-72792-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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