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Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/86710
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dc.contributor.authorMeli, Matthew-
dc.contributor.authorGatt, Edward-
dc.contributor.authorCasha, Owen-
dc.contributor.authorGrech, Ivan-
dc.contributor.authorMicallef, Joseph-
dc.date.accessioned2022-01-11T13:31:11Z-
dc.date.available2022-01-11T13:31:11Z-
dc.date.issued2021-
dc.identifier.citationMeli M., Gatt E., Casha O., Grech I., & Micallef J. (2021). An improved novel low power and low cost IoT wireless sensor node for air quality monitoring. The 22nd International Conference on Internet Computing & IoT, ICOMP '21, Las Vegas.en_GB
dc.identifier.urihttps://www.um.edu.mt/library/oar/handle/123456789/86710-
dc.description.abstractBattery autonomy is critical in wireless devices especially in large scale wireless sensor node deployments. In this paper, fragmented dynamic power management is used to achieve an improved SOA low power and low cost air quality monitoring IoT wireless sensor node. The improved novel device is designed to fit in a ventilated plastic enclosure and is equipped with low cost air quality sensors and a LoRa transceiver. The current draw of the sensor node in sleep mode is 570 nA, the average active current demand is 44 mA and the average power consumption per hour is 379 μAh. The im-proved device can be operated for up to 20 months using a 6000 mAh battery.en_GB
dc.language.isoenen_GB
dc.publisherWorld Congress in Computer Science, Computer Engineering, and Applied Computingen_GB
dc.rightsinfo:eu-repo/semantics/restrictedAccessen_GB
dc.subjectInternet of thingsen_GB
dc.subjectWireless sensor networksen_GB
dc.subjectAir quality managementen_GB
dc.subjectWireless sensor nodesen_GB
dc.titleAn improved novel low power and low cost IoT wireless sensor node for air quality monitoringen_GB
dc.typeconferenceObjecten_GB
dc.rights.holderThe copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder.en_GB
dc.bibliographicCitation.conferencenameThe 22nd International Conference on Internet Computing & IoT, ICOMP '21en_GB
dc.bibliographicCitation.conferenceplaceLas Vegas, USA, 26-29/07/2021en_GB
dc.description.reviewedpeer-revieweden_GB
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