Air Pollution Monitoring and Mining Based on Sensor Grid in London

• DOI: 10.3390/s80603601
• Publication Date: 2015-12-14T07:57:38Z
• Authors: Yajie Ma; Mark Richards; Moustafa Ghanem; Yike Guo; John Hassard
• Keywords: Technology; distributed data mining; Urban Air Pollution; 0805 Distributed Computing; TP1-1185; 02 engineering and technology; grid; 7. Clean energy; Article; Analytical Chemistry; Engineering; 11. Sustainability; 0202 electrical engineering, electronic engineering, information engineering; Urban air pollution; 0502 Environmental Science and Management; urban air pollution; sensor network; grid; distributed data mining.; Grid; Instruments & Instrumentation; sensor network; distributed data mining.; Sensor Network; Science & Technology; 0602 Ecology; Sensor network; Chemical technology; Chemistry, Analytical; ALGORITHMS; Engineering, Electrical & Electronic; Analytical; urban air pollution; Distributed data mining; 004; Chemistry; 0906 Electrical and Electronic Engineering; 13. Climate action; Physical Sciences; Electrical & Electronic; Distributed Data Mining; 0301 Analytical Chemistry

In this paper, we present a distributed infrastructure based on wireless sensors network and Grid computing technology for air pollution monitoring and mining, which aims to develop low-cost and ubiquitous sensor networks to collect real-time, large scale and comprehensive environmental data from road traffic emissions for air pollution monitoring in urban environment. The main informatics challenges in respect to constructing the high-throughput sensor Grid are discussed in this paper. We present a twolayer network framework, a P2P e-Science Grid architecture, and the distributed data mining algorithm as the solutions to address the challenges. We simulated the system in TinyOS to examine the operation of each sensor as well as the networking performance. We also present the distributed data mining result to examine the effectiveness of the algorithm.