title: A Survey of Wireless Sensor Network Based Air Pollution Monitoring Systems.
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.
authors.affiliation: Department of Computer Science and Engineering, The Chinese University of Hong Kong, Shatin NT, Hong Kong, China. wyyi1991@gmail.com.|Institute of Future Cities, The Chinese University of Hong Kong, Shatin NT, Hong Kong, China. wyyi1991@gmail.com.
authors.forename: Wei Ying
authors.initials: WY
authors.lastname: Yi
authors.affiliation: Department of Computer Science and Engineering, The Chinese University of Hong Kong, Shatin NT, Hong Kong, China. kmlo@cse.cuhk.edu.hk.
authors.forename: Kin Ming
authors.initials: KM
authors.lastname: Lo
authors.affiliation: Department of Electronics and Computer Science, University of Southampton, University Road, Southampton S017 1BJ, UK. tmak@ecs.soton.ac.uk.
authors.forename: Terrence
authors.initials: T
authors.lastname: Mak
authors.affiliation: Department of Computer Science and Engineering, The Chinese University of Hong Kong, Shatin NT, Hong Kong, China. ksleung@cse.cuhk.edu.hk.|Institute of Future Cities, The Chinese University of Hong Kong, Shatin NT, Hong Kong, China. ksleung@cse.cuhk.edu.hk.
authors.forename: Kwong Sak
authors.initials: KS
authors.lastname: Leung
authors.affiliation: Institute of Future Cities, The Chinese University of Hong Kong, Shatin NT, Hong Kong, China. yeeleung@cuhk.edu.hk.|Department of Geography and Resource Management, The Chinese University of Hong Kong, Shatin NT, Hong Kong, China. yeeleung@cuhk.edu.hk.
authors.forename: Yee
authors.initials: Y
authors.lastname: Leung
authors.affiliation: Department of Systems Engineering and Engineering Management, The Chinese University of Hong Kong, Shatin NT, Hong Kong, China. hmmeng@se.cuhk.edu.hk.|Stanley Ho Big Data Decision Analytics Research Center, The Chinese University of Hong Kong, Shatin NT, Hong Kong, China. hmmeng@se.cuhk.edu.hk.
authors.forename: Mei Ling
authors.initials: ML
authors.lastname: Meng
mesh_terms: D000393:Air Pollutants / Q000032:analysis*; D000397:Air Pollution / Q000032:analysis*; D004784:Environmental Monitoring / Q000295:instrumentation* / Q000379:methods*; D004867:Equipment Design; D005740:Gases; D006723:Hong Kong; D052638:Particulate Matter; D059015:Wireless Technology / Q000295:instrumentation*
chemical_list: D000393:Air Pollutants; D005740:Gases; D052638:Particulate Matter
keywords: Wireless Sensor Network (WSN); air pollution monitoring; high spatio-temporal resolution; low-cost ambient sensor; real-time monitoring