  Indoor air pollution is a major issue in developing countries such as India
and Bangladesh, exacerbated by factors like traditional cooking methods,
insufficient ventilation, and cramped living conditions, all of which elevate
the risk of health issues like lung infections and cardiovascular diseases.
With the World Health Organization associating around 3.2 million annual deaths
globally to household air pollution, the gravity of the problem is clear. Yet,
extensive empirical studies exploring these unique patterns and indoor
pollutions extent are missing. To fill this gap, we carried out a six months
long field study involving over 30 households, uncovering the complexity of
indoor air pollution in developing countries, such as the longer lingering time
of VOCs in the air or the significant influence of air circulation on the
spatiotemporal distribution of pollutants. We introduced an innovative IoT air
quality sensing platform, the Distributed Air QuaLiTy MONitor (DALTON ),
explicitly designed to meet the needs of these nations, considering factors
like cost, sensor type, accuracy, network connectivity, power, and usability.
As a result of a multi-device deployment, the platform identifies pollution
hot-spots in low and middle-income households in developing nations. It
identifies best practices to minimize daily indoor pollution exposure. Our
extensive qualitative survey estimates an overall system usability score of
2.04, indicating an efficient system for air quality monitoring.
