Low cost air quality monitoring: Comparing the energy consumption of an arduino against a raspberry Pi based system
Conference paper
Okigbo, C., Seeam, A., Guness, S., Bellekens, X., Bekaroo, G. and Ramsurrun, V. 2020. Low cost air quality monitoring: Comparing the energy consumption of an arduino against a raspberry Pi based system. Madhavje, K. and Soyjaudah, S. (ed.) ICONIC: 2020 International Conference on Intelligent and Innovative Computing Applications. Plaine Magnien, Mauritius 24 - 25 Sep 2020 Association for Computing Machinery (ACM). pp. 1-8 https://doi.org/10.1145/3415088.3415124
Type | Conference paper |
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Title | Low cost air quality monitoring: Comparing the energy consumption of an arduino against a raspberry Pi based system |
Authors | Okigbo, C., Seeam, A., Guness, S., Bellekens, X., Bekaroo, G. and Ramsurrun, V. |
Abstract | Air pollution is one of the great challenges facing modern cities. According to the World Health Organization (WHO), 80% of people living in cities with air quality monitoring facilities are living in conditions where the quality of the air is well beyond the limits set out in the air quality guidelines. As more and more people are projected to move into urban areas by 2050, this problem is going to keep on increasing. A possible solution could be the advent of Smart Cities. One of the objectives of Smart Cities is to provide a better living environment to its inhabitants. With the Internet of Things providing easily deployable, low power, low cost air quality monitoring sensors and the resources to process the huge amount of data collected, this objective could be reached. In this paper, we propose an evaluation of the power consumption of two low cost air quality monitoring systems - one based on an Arduino and the other on a Raspberry Pi system. The air quality systems proposed are based on off-the shelf hardware and are easy to assemble and maintain. The proposed systems use Bluetooth Low Energy (BLE) to transmit data while being collected through a mobile app on a smartphone. The data was collected for five days and it was found by performing an ANOVA on the power consumption that there was a significant difference in the mean energy consumption of the two systems. |
Keywords | IoT; air quality; energy consumption; monitoring; smart cities |
Conference | ICONIC: 2020 International Conference on Intelligent and Innovative Computing Applications |
Page range | 1-8 |
Proceedings Title | ICONIC '20: Proceedings of the 2nd International Conference on Intelligent and Innovative Computing Applications |
Editors | Madhavje, K. and Soyjaudah, S. |
ISBN | |
Hardcover | 9781450375580 |
Publisher | Association for Computing Machinery (ACM) |
Publication dates | |
Online | 24 Sep 2020 |
24 Sep 2020 | |
Publication process dates | |
Deposited | 05 Oct 2020 |
Submitted | 31 May 2020 |
Accepted | 15 Jul 2020 |
Output status | Published |
Accepted author manuscript | File Access Level Open |
Copyright Statement | Copyright © 2020 ACM. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in Proceedings of the 2nd International Conference on Intelligent and Innovative Computing Applications, https://doi.org/10.1145/3415088.3415124 |
Digital Object Identifier (DOI) | https://doi.org/10.1145/3415088.3415124 |
Scopus EID | 2-s2.0-85092281210 |
Web address (URL) of conference proceedings | https://dl.acm.org/doi/proceedings/10.1145/3415088 |
Language | English |
https://repository.mdx.ac.uk/item/891v2
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