Indoor Air Sensing: A Study in Cost, Energy, Reliability and Fidelity in Sensing
The rise in environmental pollution and degradation of air quality worldwide has dragged researchers’ attention due to its direct societal impact. Studies reveal that the indoor environment is more polluted than the outdoors. In this paper, a framework for indoor air quality monitoring has been pres...
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| Published in | Sensing and imaging Vol. 24; no. 1 |
|---|---|
| Main Authors | , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
New York
Springer US
20.02.2023
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| Online Access | Get full text |
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| Abstract | The rise in environmental pollution and degradation of air quality worldwide has dragged researchers’ attention due to its direct societal impact. Studies reveal that the indoor environment is more polluted than the outdoors. In this paper, a framework for indoor air quality monitoring has been presented. We have developed a portable and cost-effective air quality monitoring device. The device generates fine-grained data for a combination of different pollutants and meteorological sensors (humidity and temperature). In this work, an energy-aware Environment Monitoring Device (EMD) has been developed with an adaptive sampling rate. Different aspects of the EMD have been presented with an analysis of their power consumption. The proposed technique has reduced more than 45% of energy consumption. A proposed energy reduction technique has discussed a trade-off between the cost-effectiveness of developed EMD and its reliability. We proposed the calibration of the sensor to ensure the reliability of the sensed data. A soft-calibration technique has been proposed considering the classrooms’ Spatio-temporal nature to ensure the sensed data’s reliability by mitigating the sensor errors due to spatial factors and achieved
≈
6
%
of error reduction compared to the baselines. Moreover, an energy-aware calibration technique has been proposed by providing a scheduling algorithm for re-calibration. The overall system significantly improves the lifetime and energy consumption of the sensors compared to that of normal conditions. |
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| AbstractList | The rise in environmental pollution and degradation of air quality worldwide has dragged researchers’ attention due to its direct societal impact. Studies reveal that the indoor environment is more polluted than the outdoors. In this paper, a framework for indoor air quality monitoring has been presented. We have developed a portable and cost-effective air quality monitoring device. The device generates fine-grained data for a combination of different pollutants and meteorological sensors (humidity and temperature). In this work, an energy-aware Environment Monitoring Device (EMD) has been developed with an adaptive sampling rate. Different aspects of the EMD have been presented with an analysis of their power consumption. The proposed technique has reduced more than 45% of energy consumption. A proposed energy reduction technique has discussed a trade-off between the cost-effectiveness of developed EMD and its reliability. We proposed the calibration of the sensor to ensure the reliability of the sensed data. A soft-calibration technique has been proposed considering the classrooms’ Spatio-temporal nature to ensure the sensed data’s reliability by mitigating the sensor errors due to spatial factors and achieved
≈
6
%
of error reduction compared to the baselines. Moreover, an energy-aware calibration technique has been proposed by providing a scheduling algorithm for re-calibration. The overall system significantly improves the lifetime and energy consumption of the sensors compared to that of normal conditions. |
| ArticleNumber | 7 |
| Author | Banerjee, Amartya Dalal, Bidyut Sharma, Praveen Kumar De, Tanmay Sen, Argha Mondal, Sandip Saha, Sujoy Mondal, Ananya |
| Author_xml | – sequence: 1 givenname: Praveen Kumar orcidid: 0000-0002-0706-1610 surname: Sharma fullname: Sharma, Praveen Kumar email: praveencs54@gmail.com organization: National Institute Technology Durgapur, ITER, Siksha ‘O’ Anusandhan – sequence: 2 givenname: Bidyut surname: Dalal fullname: Dalal, Bidyut organization: National Institute Technology Durgapur – sequence: 3 givenname: Ananya surname: Mondal fullname: Mondal, Ananya organization: Indian Institute of Technology, Jodhpur – sequence: 4 givenname: Argha surname: Sen fullname: Sen, Argha organization: Indian Institute of Technology, Kharagpur – sequence: 5 givenname: Amartya surname: Banerjee fullname: Banerjee, Amartya organization: Ramkrishna Mahato Government Engineering College, Purulia – sequence: 6 givenname: Sandip surname: Mondal fullname: Mondal, Sandip organization: National Institute Technology Durgapur – sequence: 7 givenname: Tanmay surname: De fullname: De, Tanmay organization: National Institute Technology Durgapur – sequence: 8 givenname: Sujoy surname: Saha fullname: Saha, Sujoy organization: National Institute Technology Durgapur |
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| Copyright | The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
| Copyright_xml | – notice: The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
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| Keywords | Air quality monitoring device Energy aware system Soft calibration Hard calibration Indoor air quality |
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| Title | Indoor Air Sensing: A Study in Cost, Energy, Reliability and Fidelity in Sensing |
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