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Title:
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AN EXPERIMENTAL STUDY OF THE DISTRIBUTED CLUSTERING FOR AIR POLLUTION PATTERN RECOGNITION IN SENSOR NETWORKS |
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Author(s):
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Yajie Ma , Yike Guo , Moustafa Ghanem |
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ISBN:
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978-972-8924-88-1 |
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Editors:
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Ajith P. Abraham |
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Year:
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2009 |
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Edition:
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Single |
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Keywords:
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Pattern recognition, Distributed clustering, Sensor networks, Grid, Air pollution. |
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Type:
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Full Paper |
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First Page:
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3 |
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Last Page:
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10 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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In this paper, we make an experimental study of the urban air pollution pattern analysis within MESSAGE system. A
hierarchical network framework consisted of mobile sensors and stationary sensors is designed. A sensor gateway core
architecture is developed which is suited to grid-based computation. Then we make experimental analysis including the
identification of pollution hotspots and the dispersion of pollution clouds based on a real-time peer-to-peer clustering
algorithm. Our results provide a typical air pollution pattern in urban environment which gives a real-time track of the air
pollution variation. |
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