Impact Factor (2025): 6.9
DOI Prefix: 10.47001/IRJIET
The
proliferation of Internet of Things (IoT) sensors has revolutionized air
quality monitoring, enabling real-time detection of pollutants. However, the
accuracy of air quality detection is heavily influenced by the placement of IoT
sensors. This study investigates the impact of IoT sensor placement on air
quality detection accuracy, with a focus on identifying optimal deployment
strategies. Using a combination of simulations, field experiments, and machine
learning algorithms, we evaluate the effects of sensor placement on air quality
detection accuracy. Our results show that strategic placement of IoT sensors
can significantly improve detection accuracy, while suboptimal placement can
lead to inaccurate readings. This research provides valuable insights for
policymakers, urban planners, and environmental monitoring agencies,
highlighting the importance of careful IoT sensor placement in air quality
monitoring applications. Our findings have significant implications for the
development of smart cities and the mitigation of air pollution- related health
risks.
Country : India
IRJIET, Volume 9, Issue 3, March 2025 pp. 307-313