An Information System for Air Quality Monitoring using Mobile Sensor Networks
Pedro Mariano, Susana Almeida, Alexandre Almeida, Carolina Correia, Vânia Martins, José Moura, Tomás Brandão, Pedro Santana
2022
Abstract
Engineering the information system that runs a heterogeneous mobile sensor network is a complex task. In this paper we present the solution that was developed in the context of the ExpoLIS project. The goal of this project is to deploy a network of mobile (low-cost) sensors in city buses. Besides the software that needs to transfer, process, and store sensor data, we also developed a mobile application to increase awareness on air pollution, and a tool that allows scientists to subscribe to sensor data. We present the engineering solutions that form the backbone of the information system, and the structure and design of developing supporting tools. We discuss our choices regarding how sensor data are processed in order to make these data available for the common citizen. We mention possible future directions for the software that we have developed.
DownloadPaper Citation
in Harvard Style
Mariano P., Almeida S., Almeida A., Correia C., Martins V., Moura J., Brandão T. and Santana P. (2022). An Information System for Air Quality Monitoring using Mobile Sensor Networks. In Proceedings of the 19th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-989-758-585-2, pages 238-246. DOI: 10.5220/0011320400003271
in Bibtex Style
@conference{icinco22,
author={Pedro Mariano and Susana Almeida and Alexandre Almeida and Carolina Correia and Vânia Martins and José Moura and Tomás Brandão and Pedro Santana},
title={An Information System for Air Quality Monitoring using Mobile Sensor Networks},
booktitle={Proceedings of the 19th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2022},
pages={238-246},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011320400003271},
isbn={978-989-758-585-2},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 19th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - An Information System for Air Quality Monitoring using Mobile Sensor Networks
SN - 978-989-758-585-2
AU - Mariano P.
AU - Almeida S.
AU - Almeida A.
AU - Correia C.
AU - Martins V.
AU - Moura J.
AU - Brandão T.
AU - Santana P.
PY - 2022
SP - 238
EP - 246
DO - 10.5220/0011320400003271