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https://www.um.edu.mt/library/oar/handle/123456789/86710| Title: | An improved novel low power and low cost IoT wireless sensor node for air quality monitoring |
| Authors: | Meli, Matthew Gatt, Edward Casha, Owen Grech, Ivan Micallef, Joseph |
| Keywords: | Internet of things Wireless sensor networks Air quality management Wireless sensor nodes |
| Issue Date: | 2021 |
| Publisher: | World Congress in Computer Science, Computer Engineering, and Applied Computing |
| Citation: | Meli 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. |
| Abstract: | Battery 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. |
| URI: | https://www.um.edu.mt/library/oar/handle/123456789/86710 |
| Appears in Collections: | Scholarly Works - FacICTMN |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| An_improved_novel_low_power_and_low_cost_IoT_wireless_sensor_node_for_air_quality_monitoring_2021.pdf Restricted Access | 691.66 kB | Adobe PDF | View/Open Request a copy |
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