Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11861/7460
Title: A Survey of Wireless Sensor Network Based Air Pollution Monitoring Systems
Authors: Yi, Wei-Ying 
Lo, Kin-Ming 
Mak, Terrence 
Prof. LEUNG Kwong Sak 
Leung, Yee 
Meng, MeiLing 
Issue Date: 2015
Source: Sensors, 2015, vol.15(12), pp. 31392-31427
Journal: Sensors 
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.
Type: Peer Reviewed Journal Article
URI: http://hdl.handle.net/20.500.11861/7460
DOI: 10.3390/s151229859
Appears in Collections:Applied Data Science - Publication

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