Title :
Prediction and validation of outcomes from air monitoring sensors and networks of sensors
Author :
Lay-Ekuakille, A. ; Vergallo, P. ; Giannoccaro, N.I. ; Massaro, A. ; Caratelli, D.
Author_Institution :
Dept. of Innovation Eng., Univ. of Salento, Lecce, Italy
fDate :
Nov. 28 2011-Dec. 1 2011
Abstract :
Air monitoring plays a key role in measuring atmospheric pollutant concentrations in different locations of the same region or of distinct ones. This paper describes results of processing volatile organic compounds (VOCs) using an interesting genetic algorithm and also processing benzo(a)pyrene(BaP) data. Both pollutants are collected from a network of sensors located in an industrial area and in a city respectively.
Keywords :
air pollution measurement; chemical variables measurement; computerised monitoring; distributed sensors; environmental monitoring (geophysics); environmental science computing; genetic algorithms; air monitoring sensor network; atmospheric pollutant concentration measurement; benzo(a)pyrene data; genetic algorithm; industrial area; volatile organic compound processing; Genetic algorithms; Heuristic algorithms; Intelligent sensors; Monitoring; Prediction algorithms; Wireless sensor networks; BaP; Sensor network; VOC; data processing; genetic algorithm; pollutant measurements;
Conference_Titel :
Sensing Technology (ICST), 2011 Fifth International Conference on
Conference_Location :
Palmerston North
Print_ISBN :
978-1-4577-0168-9
DOI :
10.1109/ICSensT.2011.6137072
