Abstract
This paper presents a scalable open source IoT architecture. The proposed sensor network transforms a bicycle into a mobility way that records, stores and displays information acquired from multiple integrated sensors, such as body sensors, bicycle sensors, ambient sensors, and smartphones. The system uses a Raspberry Pi 3 as a storage server and Broker MQTT interconnecting different nodes that collect measurements of bicycle distance/speed, ambient temperature and humidity, measurements of accelerations and angular velocities in the three axes. This architecture is configured as an access point connected through IEEE 802.11 using MQTT as a communication protocol. The information obtained is stored in a database using SQLite and displayed in real time on a smartphone, tablet or computer. Our prototype incorporates changes in the previously proposed architecture by improving the connection of new sensor nodes by modifying the access point and integrating the sensor node of temperature and humidity into the network.
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Acknowledgements
This paper was supported by Programa de Fortalecimiento de la Calidad Educativa (PFCE) 2019. Number: P/PFCE-2019-27MSU0018V-11. We would also like to express our gratitude to the Universidad Juarez Autonoma de Tabasco for supporting the academic resources needed for this research.
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Alberoni, C., Leon, E., Wister, M.A., Hernandez-Nolasco, J.A. (2020). Wireless Sensor Network to Collect Training Data from Cycling. In: Barolli, L., Xhafa, F., Hussain, O. (eds) Innovative Mobile and Internet Services in Ubiquitous Computing . IMIS 2019. Advances in Intelligent Systems and Computing, vol 994. Springer, Cham. https://doi.org/10.1007/978-3-030-22263-5_40
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DOI: https://doi.org/10.1007/978-3-030-22263-5_40
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