Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11861/7460
DC FieldValueLanguage
dc.contributor.authorYi, Wei-Yingen_US
dc.contributor.authorLo, Kin-Mingen_US
dc.contributor.authorMak, Terrenceen_US
dc.contributor.authorProf. LEUNG Kwong Saken_US
dc.contributor.authorLeung, Yeeen_US
dc.contributor.authorMeng, MeiLingen_US
dc.date.accessioned2023-03-02T11:25:29Z-
dc.date.available2023-03-02T11:25:29Z-
dc.date.issued2015-
dc.identifier.citationSensors, 2015, vol.15(12), pp. 31392-31427en_US
dc.identifier.urihttp://hdl.handle.net/20.500.11861/7460-
dc.description.abstractThe 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.en_US
dc.language.isoenen_US
dc.relation.ispartofSensorsen_US
dc.titleA Survey of Wireless Sensor Network Based Air Pollution Monitoring Systemsen_US
dc.typePeer Reviewed Journal Articleen_US
dc.identifier.doi10.3390/s151229859-
item.fulltextNo Fulltext-
crisitem.author.deptDepartment of Applied Data Science-
Appears in Collections:Applied Data Science - Publication
Show simple item record

SCOPUSTM   
Citations

278
checked on Nov 17, 2024

Page view(s)

42
Last Week
1
Last month
checked on Nov 24, 2024

Google ScholarTM

Impact Indices

Altmetric

PlumX

Metrics


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.