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Mariano, P., Almeida, S. M., Almeida, A., Correia, C., Martins, V., Moura, J....Santana, P. (2022). An information system for air quality monitoring using mobile sensor networks. In Gini, G., Nijmeijer, H., Burgard, W., and Filev, D. (Ed.), Proceedings of the 19th International Conference on Informatics in Control, Automation and Robotics. (pp. 238-246). Lisboa: SCITEPRESS - Science and Technology Publications.

P. L. Mariano et al.,  "An information system for air quality monitoring using mobile sensor networks", in Proc. of the 19th Int. Conf. on Informatics in Control, Automation and Robotics, Gini, G., Nijmeijer, H., Burgard, W., and Filev, D., Ed., Lisboa, SCITEPRESS - Science and Technology Publications, 2022, pp. 238-246

@inproceedings{mariano2022_1715131684432,
	author = "Mariano, P. and Almeida, S. M. and Almeida, A. and Correia, C. and Martins, V. and Moura, J. and Brandão, T. and Santana, P.",
	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",
	year = "2022",
	editor = "Gini, G., Nijmeijer, H., Burgard, W., and Filev, D.",
	volume = "",
	number = "",
	series = "",
	doi = "10.5220/0011320400003271",
	pages = "238-246",
	publisher = "SCITEPRESS - Science and Technology Publications",
	address = "Lisboa",
	organization = "",
	url = "https://www.scitepress.org/ProceedingsDetails.aspx?ID=7U74vfBkeo8=&t=1"
}

TY  - CPAPER
TI  - An information system for air quality monitoring using mobile sensor networks
T2  - Proceedings of the 19th International Conference on Informatics in Control, Automation and Robotics
AU  - Mariano, P.
AU  - Almeida, S. M.
AU  - Almeida, A.
AU  - Correia, C.
AU  - Martins, V.
AU  - Moura, J.
AU  - Brandão, T.
AU  - Santana, P.
PY  - 2022
SP  - 238-246
DO  - 10.5220/0011320400003271
CY  - Lisboa
UR  - https://www.scitepress.org/ProceedingsDetails.aspx?ID=7U74vfBkeo8=&t=1
AB  - 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.
ER  -