Indoor Air Quality Monitoring Network Design based on Uncertainty and Mutual Information

Monika Maciejewska, Andrzej Szczurek

2014

Abstract

Poor quality of indoor air is an important problem in the world today. Although credible methodology of indoor air quality (IAQ) assessment has not been developed so far, the provision of relevant information is necessary for taking actions towards its control. The currently accepted compromise is to focus on the measurable physical and chemical parameters of indoor air as the basis for judging the thermal comfort and chemical IAQ. These quantities show spatial and temporal variability, therefore infrequent or single location measurements are usually insufficient for gaining an outlook of indoor air quality. Therefore, there are preferred multipoint, continuous measurements. They may be realized by the indoor air quality monitoring system. An interesting option for such system is a sensor network. This work presents a statistical method of choosing the location of the nodes of the sensor network for indoor air quality monitoring. The method is based on the information measures. The novelty of the presented approach consists in basing the nodes selection on the information content of the data provided by the sensor network in discrete time moments. The method was demonstrated as applied to the revision of an indoor air quality monitoring network in an office building.

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Paper Citation


in Harvard Style

Maciejewska M. and Szczurek A. (2014). Indoor Air Quality Monitoring Network Design based on Uncertainty and Mutual Information . In Proceedings of the 3rd International Conference on Sensor Networks - Volume 1: SENSORNETS, ISBN 978-989-758-001-7, pages 337-344. DOI: 10.5220/0004697403370344

in Bibtex Style

@conference{sensornets14,
author={Monika Maciejewska and Andrzej Szczurek},
title={Indoor Air Quality Monitoring Network Design based on Uncertainty and Mutual Information},
booktitle={Proceedings of the 3rd International Conference on Sensor Networks - Volume 1: SENSORNETS,},
year={2014},
pages={337-344},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004697403370344},
isbn={978-989-758-001-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 3rd International Conference on Sensor Networks - Volume 1: SENSORNETS,
TI - Indoor Air Quality Monitoring Network Design based on Uncertainty and Mutual Information
SN - 978-989-758-001-7
AU - Maciejewska M.
AU - Szczurek A.
PY - 2014
SP - 337
EP - 344
DO - 10.5220/0004697403370344