6 results found
Ma Y, Richards M, Ghanem M, et al., 2008, Air pollution monitoring and mining based on sensor grid in London, Sensors, Vol: 8, Pages: 3601-3623, ISSN: 1424-8220
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.
Richards M, North R, Ghanem M, 2008, Environmental Sensor Grids - The Next Generation, Better Air Quality (BAQ)
Hoose N, North R, Cohen J, et al., 2008, The use of mobile sensors and GRID computing for managing the environmental impact of traffic., 7th European Congress on ITS
North R, Richards M, Hassard J, et al., 2008, A Mobile Environmental Sensing System to Manage Transportation and Urban Air Quality., IEEE International Symposium on Circuits and Systems (ISCAS)
Ghanem M, Guo Y, Hassard J, et al., 2004, Sensor Grids for air pollution monitoring, 3rd UK e-Science All-hands Conference AHM 2004, Nottingham, UK, Publisher: EPSRC, Pages: 106-113
Richards M, Ghanem M, Guo Y, et al., Grid-based Analysis of Air Pollution Data, Ecological Modelling, Vol: 194, Pages: 274-286
n this paper, we present a distributed infrastructure based on Grid computing technology and data integration and mining tools to discuss the main informatics challenges that arise when a high-throughput sensor network is constructed to address real-time urban air pollution monitoring and mapping. We present the background to urban air pollution monitoring and modelling and describe the high-throughput sensors developed within this project to tackle the problem. We present a solution that addresses the informatics challenges based on the integration of distributed sensors, Grid technologies, data integration, data mining and GIS systems. We also present a case study for examining the effectiveness of visual and automated methods developed for the analysis of generated data sets.
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