Abstract
The rapid development of the Internet of vehicles and the sudden urban traffic conditions bring increasing load pressure on the ground communication network. To solve this problem, in this paper we propose a joint and dynamic routing approach for connected vehicles in Low Earth Orbit (LEO) constellation satellite networks. Firstly, to realize global path planning service, the global situational awareness is conducted by jointing the satellite to transferee the acquired data to the control center which makes the initial route then. We employ the shortest-path algorithm and the ant colony optimization to jointly obtains the optimal end-to-end multi-hop path of the transmission. The joint and dynamic routing scheme in LEO network makes up for the shortcoming of ground communications. Simulation results show that the proposed routing method for connected vehicle networks in this paper is feasible and promising.
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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 Projects (Nos. 2020-JCJQ-ZD-016-11, 61403110405, 315075802, JZX6Y202001010161), and the Innovation Funding (No. 2018510007000134). The authors wish to thank the reviewers for their helpful comments. The shorter conference version of this paper appeared in the conference SIMUTools2020. Dr. Dingde Jiang is corresponding author of this paper (email: merry_99@sina.com).
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Wang, Z., Zhang, W., Liu, B. et al. A joint and dynamic routing approach to connected vehicles via LEO constellation satellite networks. Wireless Netw (2021). https://doi.org/10.1007/s11276-021-02712-0
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DOI: https://doi.org/10.1007/s11276-021-02712-0