Cloud-Integrated Wireless Sensor Networks for Dynamic Household Air Pollution Management

Abstract

Urbanization is increasing indoor air quality, especially in households. For the real-time monitoring and control of home air pollution via the combination of cloud computing technologies with wireless sensor networks (WSNs). With an emphasis on their design, features, and advantages, this article provides a synopsis of cloud integrated WSNs for dynamic home air pollution control. To continually monitor different air contaminants, the suggested system uses a network of inexpensive wireless sensors strategically positioned inside residences. Particulate matter (PM), volatile organic compounds (VOCs), carbon monoxide (CO), and nitrogen dioxide (NO2) are among the contaminants that these sensors pick up on. Data collection begins with wireless transmission to a server in the cloud, where it continues with analysis and display. Due to cloud computing rapid data storage and processing, complete air quality reports may be generated by aggregating data from many residences. The use of advanced analytics methods allows for the detection of pollution trends, the prediction of possible health problems, and the provision of personalized suggestions for reducing indoor air pollution. With the use of online or mobile apps, users may obtain real-time air quality information via the cloud infrastructure. This allows them to make informed decisions about indoor activities and ventilation techniques. Aside from that, authorities may use the combined data for urban planning and policymaking to tackle larger air quality challenges.