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Authors: Lelio Campanile ; Mauro Iacono ; Roberta Lotito and Michele Mastroianni

Affiliation: Dipartimento di Matematica e Fisica, Università Degli Studi della Campania ”L. Vanvitelli”, Italy

Keyword(s): WSN, Sensor, Energy, Monitoring, Landfill, Odour, LoRaWAN.

Abstract: The gaseous emissions derived from industrial plants are generally subject to a strictly program of monitoring, both continuous or one-spot, in order to comply with the limits imposed by the permitting license. Nowadays the problem of odour emission, and the consequently nuisance generated to the nearest receptors, has acquired importance so that is frequently asked a specific implementation of the air pollution monitoring program. In this paper we studied the case study of a generic landfill for the implementation of the odour monitoring system and time-specific use of air pollution control technology. The off-site monitoring is based on the deployment of electronic nose as part of a specifically built WSN system. The nodes outside the landfill boundary do not act as a continuously monitoring stations but as sensors activated when specific conditions, inside and outside the landfill, are achieved. The WSN is then organized on an energy-aware approach so to prolong the lifetime of th e entire system, with significant cost-benefit advancement, and produce a monitoring-structure that can answer to specific input like threshold overshooting. (More)

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Paper citation in several formats:
Campanile, L.; Iacono, M.; Lotito, R. and Mastroianni, M. (2020). A WSN Energy-aware Approach for Air Pollution Monitoring in Waste Treatment Facility Site: A Case Study for Landfill Monitoring Odour. In Proceedings of the 5th International Conference on Internet of Things, Big Data and Security - AI4EIoTs ; ISBN 978-989-758-426-8; ISSN 2184-4976, SciTePress, pages 526-532. DOI: 10.5220/0009819005260532

@conference{ai4eiots 20,
author={Lelio Campanile. and Mauro Iacono. and Roberta Lotito. and Michele Mastroianni.},
title={A WSN Energy-aware Approach for Air Pollution Monitoring in Waste Treatment Facility Site: A Case Study for Landfill Monitoring Odour},
booktitle={Proceedings of the 5th International Conference on Internet of Things, Big Data and Security - AI4EIoTs },
year={2020},
pages={526-532},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009819005260532},
isbn={978-989-758-426-8},
issn={2184-4976},
}

TY - CONF

JO - Proceedings of the 5th International Conference on Internet of Things, Big Data and Security - AI4EIoTs
TI - A WSN Energy-aware Approach for Air Pollution Monitoring in Waste Treatment Facility Site: A Case Study for Landfill Monitoring Odour
SN - 978-989-758-426-8
IS - 2184-4976
AU - Campanile, L.
AU - Iacono, M.
AU - Lotito, R.
AU - Mastroianni, M.
PY - 2020
SP - 526
EP - 532
DO - 10.5220/0009819005260532
PB - SciTePress