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IoT as a Service. 5th EAI International Conference, IoTaaS 2019, Xi’an, China, November 16-17, 2019, Proceedings

Research Article

Traffic Arrival Prediction for WiFi Network: A Machine Learning Approach

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  • @INPROCEEDINGS{10.1007/978-3-030-44751-9_40,
        author={Ning Wang and Bo Li and Mao Yang and Zhongjiang Yan and Ding Wang},
        title={Traffic Arrival Prediction for WiFi Network: A Machine Learning Approach},
        proceedings={IoT as a Service. 5th EAI International Conference, IoTaaS 2019, Xi’an, China, November 16-17, 2019, Proceedings},
        proceedings_a={IOTAAS},
        year={2020},
        month={6},
        keywords={Wi-Fi Network Artificial intelligence Big data Machine learning Random forest Regression},
        doi={10.1007/978-3-030-44751-9_40}
    }
    
  • Ning Wang
    Bo Li
    Mao Yang
    Zhongjiang Yan
    Ding Wang
    Year: 2020
    Traffic Arrival Prediction for WiFi Network: A Machine Learning Approach
    IOTAAS
    Springer
    DOI: 10.1007/978-3-030-44751-9_40
Ning Wang1,*, Bo Li1,*, Mao Yang1,*, Zhongjiang Yan1,*, Ding Wang1
  • 1: Northwestern Polytechnical University
*Contact email: ningwang22668800@mail.nwpu.edu.cn, libo.npu@nwpu.edu.cn, yangmao@nwpu.edu.cn, zhjyan@nwpu.edu.cn

Abstract

At present, Wi-Fi plays a very important role in the fields of online media, daily life, industry, military and etc.

Keywords
Wi-Fi Network Artificial intelligence Big data Machine learning Random forest Regression
Published
2020-06-05
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-44751-9_40
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