Industrial IoT Technologies and Applications. International Conference, Industrial IoT 2016, GuangZhou, China, March 25-26, 2016, Revised Selected Papers

Research Article

Research on the Link Quality Prediction Mechanism Based on ARIMA Model for Multi Person Cooperative Interaction

  • @INPROCEEDINGS{10.1007/978-3-319-44350-8_23,
        author={Shu Yao and Chong Chen and Heng Zhang},
        title={Research on the Link Quality Prediction Mechanism Based on ARIMA Model for Multi Person Cooperative Interaction},
        proceedings={Industrial IoT Technologies and Applications. International Conference, Industrial IoT 2016, GuangZhou, China, March 25-26, 2016, Revised Selected Papers},
        proceedings_a={INDUSTRIAL IOT},
        year={2016},
        month={9},
        keywords={Wireless multimedia sensor network Cooperative interaction Link quality Trend forecast},
        doi={10.1007/978-3-319-44350-8_23}
    }
    
  • Shu Yao
    Chong Chen
    Heng Zhang
    Year: 2016
    Research on the Link Quality Prediction Mechanism Based on ARIMA Model for Multi Person Cooperative Interaction
    INDUSTRIAL IOT
    Springer
    DOI: 10.1007/978-3-319-44350-8_23
Shu Yao1, Chong Chen1, Heng Zhang1,*
  • 1: Southwest University of China
*Contact email: dahaizhangheng@swu.edu.cn

Abstract

With the continuous enhancement of the hardware performance, the dynamic high speed sensing network in the small and medium size of the special industry is becoming more and more recognized and valued by the academic circles and enterprises, and in the process of multi - user interaction, the requirements on the quality of the link are also higher, but the high speed communication of the instability of the link quality and difficult to judge critical problem has not been solved. In this paper, we use the ARIMA model to predict the link quality of wireless multimedia sensor network, make the dynamic buffer and link switch in time. Finally through the experiment discovered after postprocessing forecast network to meet the real-time dynamic environment average closing package rate, stability and robustness are significantly improved.