A Bicycle-Borne Sensor Node for Monitoring Air Pollution Based on NB-IoT

Shu Shen; Caixia Lv; Xindi Xu; Xiaoyu Liu

Machine Learning and Intelligent Communications. 4th International Conference, MLICOM 2019, Nanjing, China, August 24–25, 2019, Proceedings

Research Article

A Bicycle-Borne Sensor Node for Monitoring Air Pollution Based on NB-IoT

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@INPROCEEDINGS{10.1007/978-3-030-32388-2_28,
    author={Shu Shen and Caixia Lv and Xindi Xu and Xiaoyu Liu},
    title={A Bicycle-Borne Sensor Node for Monitoring Air Pollution Based on NB-IoT},
    proceedings={Machine Learning and Intelligent Communications. 4th International Conference, MLICOM 2019, Nanjing, China, August 24--25, 2019, Proceedings},
    proceedings_a={MLICOM},
    year={2019},
    month={10},
    keywords={Air pollution Environmental monitoring NB-IoT Shared bicycle},
    doi={10.1007/978-3-030-32388-2_28}
}

Shu Shen
Caixia Lv
Xindi Xu
Xiaoyu Liu
Year: 2019
A Bicycle-Borne Sensor Node for Monitoring Air Pollution Based on NB-IoT
MLICOM
Springer
DOI: 10.1007/978-3-030-32388-2_28

Shu Shen^,*, Caixia Lv¹^,*, Xindi Xu¹^,*, Xiaoyu Liu¹^,*

1: Nanjing University of Posts and Telecommunications

*Contact email: shens@njupt.edu.cn, m18734315011@163.com, XindiSindy@163.com, 1018041029@njupt.edu.cn

Abstract

Nowadays, everybody knows that shared bicycles have become a new type of green transportation in the city. The impact on people’s health caused by air pollutants exposed near roads has become a concern in recent years. This paper introduces a device which consists of a particulate detector, temperature and humidity sensor, micro-SD card, GPS receiver and the NB-IoT communication module. The device can be installed as a sensor node on a shared bike, and a mobile sensor network has been set up on a shared bike to monitor air quality throughout the city, which is of great significance for urban air quality testing.

Keywords: Air pollution Environmental monitoring NB-IoT Shared bicycle

Published: 2019-10-28
Appears in: SpringerLink

: http://dx.doi.org/10.1007/978-3-030-32388-2_28