id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-119522-2ua8218z	Reddy, C. Rajashekar	Improving Spatio-Temporal Understanding of Particulate Matter using Low-Cost IoT Sensors	2020-05-12		.txt	text/plain	3573	211	62	This paper focuses on studying the dense deployment based air pollution monitoring using IoT enabled low-cost sensor nodes. For this, total nine low-cost IoT nodes monitoring particulate matter (PM), which is one of the most dominant pollutants, are deployed in a small educational campus in Indian city of Hyderabad. This paper focuses on studying the dense deployment based air pollution monitoring using IoT enabled low-cost sensor nodes in Indian urban conditions. For spatial interpolation, inverse distance weighing (IDW) scheme is used on these nodes for the data collected before and during the bursting of firecrackers on the main night of Diwali (one of the most popular festivals in India) to show the variability pattern in a small campus, hot spot detection and need for a dense deployment to provide better local pollution indicators.	./cache/cord-119522-2ua8218z.txt	./txt/cord-119522-2ua8218z.txt