Enhancing Distributed Sensor Networks for Air-Quality Monitoring: A Social Informatics Approach

被引:0
|
作者
Pee, L. G. [1 ]
机构
[1] Nanyang Technol Univ, Wee Kim Wee Sch Commun & Informat, Singapore, Singapore
关键词
social informatics; air quality; air pollution; data analytics; KNOWLEDGE DISCOVERY;
D O I
10.1109/DCOSS.2019.00050
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
This research-in-progress proposes an approach that accounts for social and institutional issues in the design and implementation of sensor networks for air-quality monitoring. The proposed approach is evaluated through action research, in an initiative that seeks to enhance the air-quality sensor network of a Megalopolis based on data analytics. Preliminary findings indicate that the proposed approach improves access to resources, enhances the validity of design, and increases buy-in for implementation.
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页码:185 / 187
页数:3
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