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Advanced Hybrid Information Processing. 5th EAI International Conference, ADHIP 2021, Virtual Event, October 22-24, 2021, Proceedings, Part II

Research Article

Automatic Information Scheduling System of 5G Intelligent Terminal Based on Internet of Things Technology

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  • @INPROCEEDINGS{10.1007/978-3-030-94554-1_2,
        author={Guo-yi Zhang and Hai-long Zhu and Dan-ke Hong and Si-tuo Zhang and Shan-ke Huang},
        title={Automatic Information Scheduling System of 5G Intelligent Terminal Based on Internet of Things Technology},
        proceedings={Advanced Hybrid Information Processing. 5th EAI International Conference, ADHIP 2021, Virtual Event, October 22-24, 2021, Proceedings, Part II},
        proceedings_a={ADHIP PART 2},
        year={2022},
        month={1},
        keywords={Internet of things technology 5G Intelligent terminal Information automatic scheduling system},
        doi={10.1007/978-3-030-94554-1_2}
    }
    
  • Guo-yi Zhang
    Hai-long Zhu
    Dan-ke Hong
    Si-tuo Zhang
    Shan-ke Huang
    Year: 2022
    Automatic Information Scheduling System of 5G Intelligent Terminal Based on Internet of Things Technology
    ADHIP PART 2
    Springer
    DOI: 10.1007/978-3-030-94554-1_2
Guo-yi Zhang1,*, Hai-long Zhu1, Dan-ke Hong1, Si-tuo Zhang1, Shan-ke Huang1
  • 1: Digital Grid Research Institute, China Southern Power Grid
*Contact email: zgy329@aliyun.com

Abstract

It is difficult to extract accurate feature data in conventional automatic scheduling system, which leads to large automatic scheduling error. Therefore, 5G intelligent terminal information automatic scheduling system is designed based on Internet of Things technology. In the design of hardware system, the bus circuit, 5G intelligent network management node system and 5G mobile communication chip based on Internet of Things are designed. In the design of software system, the initial solution of automatic scheduling is calculated, the automatic scheduling characteristics of 5G intelligent terminal based on Internet of Things are extracted. Experimental results show that the average scheduling error is 0.1604 and 0.2632 lower, the absolute error is 0.0503 and 0.0568 lower, and the data obtained by the two methods are smaller than those by the conventional methods. Therefore, the system has a more accurate 5G intelligent terminal information automatic scheduling capabilities.

Keywords
Internet of things technology 5G Intelligent terminal Information automatic scheduling system
Published
2022-01-18
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-94554-1_2
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