Abstract
In the networking of vehicles, the information exchange between network infrastructure and vehicles is very important. However, at the current development stage of the networking of vehicles, the coverage of a single network infrastructure is very limited, and each network base station has a variety of heterogeneous wireless networks with different performances. Vehicles must constantly switch between multiple network infrastructures, so the efficiency of information transmission becomes crucial, among which the key problems are mainly service delay and service cost in the transmission of broadcast data packets. In this paper, this key problem is summarized as the multi-objective problem. The MOEA/D-DE algorithm is proposed by adding differential evolution variation to the multi-objective evolutionary algorithm, which makes the population variation more diverse. On the basis of the convergence of the original multi-objective optimization algorithm, more diverse new individuals are generated, which makes the original convergence state broken and the population continues to evolve. A large number of simulation experiments are conducted, and the experimental results show that this method can obtain smaller average service delay and average access cost, and has good scalability, that is, it is effective for a variety of data transmission scenarios, and compared with the traditional packet sending algorithm and MOEA/D algorithm, more shows the superiority of this algorithm.
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The data used to support the findings of this study are available from the corresponding author upon request.
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Acknowledgements
This work was supported by the National Natural Science Foundation of China (Grant Nos. 61972456, 62172298); Tianjin Research Innovation Project for Postgraduate Students (2022SKY145); Innovation Fund for Combination of industry and education in China (2022BL083).
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All authors contributed to the study conception and design. Material preparation, data collection and analysis were performed by Z-PC and Z-YC. The first draft of the manuscript was written by Z-PC, and subsequent revisions were made by Y-YC. All authors read and approved the final manuscript.
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Chai, ZY., Cheng, YY. & Chen, ZP. Network access selection in heterogeneous Internet of vehicles based on improved multi-objective evolutionary algorithm. J Ambient Intell Human Comput 15, 673–682 (2024). https://doi.org/10.1007/s12652-023-04724-4
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DOI: https://doi.org/10.1007/s12652-023-04724-4