SC-IAQM model for indoor air quality monitoring in a smart community

Since poor indoor air quality has adverse effects on human health, the need for an indoor air quality monitoring system has become more prominent. The aim of this paper is to propose SC-IAQM model for indoor air quality monitoring in a smart community which is introduced as an application of Internet of Things (IoT). SC-IAQM model provides low latency of critical data packets with high priority as well as reduces energy consumption of the network. Common indoor air pollutants such as Carbon Monoxide, Carbon Dioxide, Volatile Organic Compound, Particulate Matter and Methane are involved in this research. If the levels of these pollutants exceed the defined limits, sending the emergency services would be an option to deal with critical situation locally under the management of community center. Our experiment with NS-2 shows the effectiveness of SC-IAQM model in reducing the average energy consumption as well as end-to-end delay of critical data packets.