Affordable Remote Terminal for Sensor Observation Service

Laura Gattuta, Alessio Langiu, Luca Sabatucci, Vincenzo Suraci, Mario Sprovieri

Abstract

In the Internet of Things era, where the availability of data connectivity and smart devices is every day spreading more and more, the capability of acquiring sensor data through a simple, affordable and power efficient solution is a promoting factor for the collaborative creation of data set according to the Open Data philosophy. This setting is particularly fitting the agent environmental monitoring through repetitive measurement of physical-chemical parameters. This manuscript presents a new software solution for data acquisition based on a Raspberry PI terminal equipped with a thermal sensor and data connectivity at the system level. It exploits the features of the Sensor Observation Service (SOS) standard, such as the data model and the communication formats, and it assumes the availability of an SOS server to archive the data.

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Paper Citation


in Harvard Style

Gattuta L., Langiu A., Sabatucci L., Suraci V. and Sprovieri M. (2020). Affordable Remote Terminal for Sensor Observation Service.In Proceedings of the 12th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-758-395-7, pages 272-278. DOI: 10.5220/0009149802720278


in Bibtex Style

@conference{icaart20,
author={Laura Gattuta and Alessio Langiu and Luca Sabatucci and Vincenzo Suraci and Mario Sprovieri},
title={Affordable Remote Terminal for Sensor Observation Service},
booktitle={Proceedings of the 12th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2020},
pages={272-278},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009149802720278},
isbn={978-989-758-395-7},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 12th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - Affordable Remote Terminal for Sensor Observation Service
SN - 978-989-758-395-7
AU - Gattuta L.
AU - Langiu A.
AU - Sabatucci L.
AU - Suraci V.
AU - Sprovieri M.
PY - 2020
SP - 272
EP - 278
DO - 10.5220/0009149802720278