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Sensors 2015, 15(12), 31392-31427; doi:10.3390/s151229859

A Survey of Wireless Sensor Network Based Air Pollution Monitoring Systems

1
Department of Computer Science and Engineering, The Chinese University of Hong Kong, Shatin NT, Hong Kong, China
2
Institute of Future Cities, The Chinese University of Hong Kong, Shatin NT, Hong Kong, China
3
Department of Electronics and Computer Science, University of Southampton, University Road, Southampton S017 1BJ, UK
4
Department of Geography and Resource Management, The Chinese University of Hong Kong, Shatin NT, Hong Kong, China
5
Department of Systems Engineering and Engineering Management, The Chinese University of Hong Kong, Shatin NT, Hong Kong, China
6
Stanley Ho Big Data Decision Analytics Research Center, The Chinese University of Hong Kong, Shatin NT, Hong Kong, China
*
Author to whom correspondence should be addressed.
Academic Editor: Leonhard Reindl
Received: 4 November 2015 / Revised: 27 November 2015 / Accepted: 1 December 2015 / Published: 12 December 2015
(This article belongs to the Section Sensor Networks)
View Full-Text   |   Download PDF [7548 KB, uploaded 12 December 2015]   |  

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. View Full-Text
Keywords: air pollution monitoring; Wireless Sensor Network (WSN); real-time monitoring; high spatio-temporal resolution; low-cost ambient sensor air pollution monitoring; Wireless Sensor Network (WSN); real-time monitoring; high spatio-temporal resolution; low-cost ambient sensor
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Yi, W.Y.; Lo, K.M.; Mak, T.; Leung, K.S.; Leung, Y.; Meng, M.L. A Survey of Wireless Sensor Network Based Air Pollution Monitoring Systems. Sensors 2015, 15, 31392-31427.

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