RL-PMAgg: Robust aggregation for PM2. 5 using deep RL-based trust management system
A Rezapour, WG Tzeng - Internet of Things, 2021 - Elsevier
Air pollution has become a major environmental issue in large cities. Air pollutants,
especially fine particulate matter (PM2. 5) has raised various concerns on human health. As
a result, several low-cost PM2. 5 monitoring systems have been deployed worldwide.
However, an accurate air pollution monitoring system profoundly relies on data quality. In
this paper, we propose RL-PMAgg for robustly computing PM2. 5 pollution rates in existence
of faulty sensors. Our method consists of three modules. The outlier detector gives quality …
especially fine particulate matter (PM2. 5) has raised various concerns on human health. As
a result, several low-cost PM2. 5 monitoring systems have been deployed worldwide.
However, an accurate air pollution monitoring system profoundly relies on data quality. In
this paper, we propose RL-PMAgg for robustly computing PM2. 5 pollution rates in existence
of faulty sensors. Our method consists of three modules. The outlier detector gives quality …
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