In this section
Several of our current PhD candidates and fellow researchers at the Data Science Institute have published, or in the proccess of publishing, papers to present their research.
@article{Ma:2008:10.3390/s80603601,
author = {Ma, Y and Richards, M and Ghanem, M and Guo, Y and Hassard, J},
doi = {10.3390/s80603601},
journal = {Sensors},
pages = {3601--3623},
title = {Air pollution monitoring and mining based on sensor grid in London},
url = {http://dx.doi.org/10.3390/s80603601},
volume = {8},
year = {2008}
}
TY - JOUR
AB - 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.
AU - Ma,Y
AU - Richards,M
AU - Ghanem,M
AU - Guo,Y
AU - Hassard,J
DO - 10.3390/s80603601
EP - 3623
PY - 2008///
SN - 1424-8220
SP - 3601
TI - Air pollution monitoring and mining based on sensor grid in London
T2 - Sensors
UR - http://dx.doi.org/10.3390/s80603601
UR - https://www.mdpi.com/1424-8220/8/6/3601
UR - http://hdl.handle.net/10044/1/82797
VL - 8
ER -
Data Science Institute
William Penney Laboratory
Imperial College London
South Kensington Campus
London SW7 2AZ
United Kingdom
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