DocumentCode :
3009511
Title :
Removing spatial outliers in PS applications
Author :
Mendez, Diego ; Labrador, Miguel A.
Author_Institution :
Dept. of Comput. Sci. & Eng., Univ. of South Florida (USF), Tampa, FL, USA
fYear :
2012
fDate :
2-4 July 2012
Firstpage :
66
Lastpage :
71
Abstract :
In this paper we study the problem of sensor data verification in Participatory Sensing (PS) systems using an air quality/pollution monitoring application as a validation example. Data verification, in the context of PS, consists of the process of removing spatial outliers to properly reconstruct the variables of interest. We propose a hybrid neighborhood-aware algorithm for outlier detection that considers the uneven spatial density of the users, the number of malicious users, the level of conspiracy, and the lack of accuracy and malfunctioning sensors. The algorithm utilizes the Delaunay triangulation and Gaussian Mixture Models to build neighborhoods based on the spatial and non-spatial attributes of each location. Our experimental results show that our hybrid algorithm performs as good as the best estimator while considerably reducing the execution time.
Keywords :
Gaussian processes; air pollution; data mining; environmental monitoring (geophysics); mesh generation; sensors; Delaunay triangulation; Gaussian mixture models; PS applications; air quality; conspiracy level; hybrid neighborhood-aware algorithm; malfunctioning sensors; malicious users; nonspatial attributes; participatory sensing systems; pollution monitoring application; removing spatial outliers; sensor data verification; spatial density; Accuracy; Algorithm design and analysis; Atmospheric measurements; Data models; Interpolation; Pollution; Pollution measurement; Delaunay triangulation; Gaussian Mixture Models; Participatory Sensing; data mining; kriging;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mobile and Wireless Networking (iCOST), 2012 International Conference on Selected Topics in
Conference_Location :
Avignon
Print_ISBN :
978-1-4673-0935-6
Type :
conf
DOI :
10.1109/iCOST.2012.6271292
Filename :
6271292
Link To Document :
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