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A survey of wireless sensor network based air pollution monitoring systems

A survey of wireless sensor network based air pollution monitoring systems
A survey of wireless sensor network based air pollution monitoring systems
The air quality in urban areas is a major concern in modern cities due to significant impacts of air pollution on public health, global environment, and worldwide economy. Recent studies reveal the importance of micro-level pollution information, including human personal exposure and acute exposure to air pollutants. A real-time system with high spatio-temporal resolution is essential because of the limited data availability and non-scalability of conventional air pollution monitoring systems. Currently, researchers focus on the concept of The Next Generation Air Pollution Monitoring System (TNGAPMS) and have achieved significant breakthroughs by utilizing the advance sensing technologies, MicroElectroMechanical Systems (MEMS) and Wireless Sensor Network (WSN). However, there exist potential problems of these newly proposed systems, namely the lack of 3D data acquisition ability and the flexibility of the sensor network. In this paper, we classify the existing works into three categories as Static Sensor Network (SSN), Community Sensor Network (CSN) and Vehicle Sensor Network (VSN) based on the carriers of the sensors. Comprehensive reviews and comparisons among these three types of sensor networks were also performed. Last but not least, we discuss the limitations of the existing works and conclude the objectives that we want to achieve in future systems.
1424-8220
31392-31427
Yi, W.
0005be61-aa8b-466b-bc26-468a97c69ae3
Lo, K.
e1d24e98-ab47-4e7f-9094-b4365f784ca9
Mak, T.
0f90ac88-f035-4f92-a62a-7eb92406ea53
Leung, K.
ba772c77-515d-42ea-a230-be73ac5bf873
Leung, Y.
7eb40832-f617-4b73-9317-ea66230c8908
Meng, H.
32e0c450-a439-4ace-ba7e-0277efcb82ed
Yi, W.
0005be61-aa8b-466b-bc26-468a97c69ae3
Lo, K.
e1d24e98-ab47-4e7f-9094-b4365f784ca9
Mak, T.
0f90ac88-f035-4f92-a62a-7eb92406ea53
Leung, K.
ba772c77-515d-42ea-a230-be73ac5bf873
Leung, Y.
7eb40832-f617-4b73-9317-ea66230c8908
Meng, H.
32e0c450-a439-4ace-ba7e-0277efcb82ed

Yi, W., Lo, K., Mak, T., Leung, K., Leung, Y. and Meng, H. (2015) A survey of wireless sensor network based air pollution monitoring systems. Sensors, 15 (12), 31392-31427. (doi:10.3390/s151229859).

Record type: Article

Abstract

The air quality in urban areas is a major concern in modern cities due to significant impacts of air pollution on public health, global environment, and worldwide economy. Recent studies reveal the importance of micro-level pollution information, including human personal exposure and acute exposure to air pollutants. A real-time system with high spatio-temporal resolution is essential because of the limited data availability and non-scalability of conventional air pollution monitoring systems. Currently, researchers focus on the concept of The Next Generation Air Pollution Monitoring System (TNGAPMS) and have achieved significant breakthroughs by utilizing the advance sensing technologies, MicroElectroMechanical Systems (MEMS) and Wireless Sensor Network (WSN). However, there exist potential problems of these newly proposed systems, namely the lack of 3D data acquisition ability and the flexibility of the sensor network. In this paper, we classify the existing works into three categories as Static Sensor Network (SSN), Community Sensor Network (CSN) and Vehicle Sensor Network (VSN) based on the carriers of the sensors. Comprehensive reviews and comparisons among these three types of sensor networks were also performed. Last but not least, we discuss the limitations of the existing works and conclude the objectives that we want to achieve in future systems.

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Accepted/In Press date: 1 December 2015
Published date: 12 December 2015
Organisations: Electronic & Software Systems

Identifiers

Local EPrints ID: 401858
URI: http://eprints.soton.ac.uk/id/eprint/401858
ISSN: 1424-8220
PURE UUID: d1b26595-fd4c-478a-b61d-76abb1ab1233

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Date deposited: 24 Oct 2016 14:07
Last modified: 15 Mar 2024 02:56

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Contributors

Author: W. Yi
Author: K. Lo
Author: T. Mak
Author: K. Leung
Author: Y. Leung
Author: H. Meng

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