A Review on the Emerging Technologies for Air Pollution Monitoring and Management

Session

Computer Science and Communication Engineering

Description

Air pollution (AP) is one of the main causes of lung cancer and stroke.

In order to minimize the negative health impacts, AP should be properly moni- tored and managed. Conventional systems are expensive and sparsely deployed.

As such, they cannot provide the required spatiotemporal resolution. This paper

reviews the emerging technologies for real-time AP monitoring based on Wire- less Sensor Networks (WSNs). The review is focused on data acquisition and

dissemination, as well as on the design and implementation issues. The role of Machine Learning (ML) in AP monitoring and management is also considered.

Keywords:

WSN, Air Pollution, Sensors, Machine Learning.

Proceedings Editor

Edmond Hajrizi

ISBN

978-9951-550-50-5

Location

UBT Kampus, Lipjan

Start Date

29-10-2022 12:00 AM

End Date

30-10-2022 12:00 AM

DOI

10.33107/ubt-ic.2022.285

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Oct 29th, 12:00 AM Oct 30th, 12:00 AM

A Review on the Emerging Technologies for Air Pollution Monitoring and Management

UBT Kampus, Lipjan

Air pollution (AP) is one of the main causes of lung cancer and stroke.

In order to minimize the negative health impacts, AP should be properly moni- tored and managed. Conventional systems are expensive and sparsely deployed.

As such, they cannot provide the required spatiotemporal resolution. This paper

reviews the emerging technologies for real-time AP monitoring based on Wire- less Sensor Networks (WSNs). The review is focused on data acquisition and

dissemination, as well as on the design and implementation issues. The role of Machine Learning (ML) in AP monitoring and management is also considered.