Air quality monitoring and prediction system using machine-to-machine platform
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part IV
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This paper deals with the processing of air pollutant measures acquired in urban areas. A procedure for the optimization of a network for air pollutant monitoring is addressed. The proposed procedure allows for the optimization of the number of monitoring stations by using adequate mathematical models. Moreover, a continuous two-dimensional (2-D) map is used to search for the optimal reallocation of the monitoring stations. Reconfiguration of the available hardware leads to better performance