Title :
WSN dynamic clustering for oil slicks monitoring
Author :
Harchi, S. ; Georges, J.-P. ; Divoux, T.
Author_Institution :
CRAN, Univ. de Lorraine, Vandoeuvre lès Nancy, France
Abstract :
Clustering algorithms for wireless sensor networks are known as application-dependent. In the framework of the oil slicks monitoring in marine environment, this paper describes the modeling of a node implementing a dedicated dynamic partitioning algorithm, using a specific metric for which simulation provides optimal weights for combining various parameters (energy, density, mobility).
Keywords :
environmental monitoring (geophysics); oils; pattern clustering; water pollution; wireless sensor networks; WSN dynamic clustering; clustering algorithms; dynamic partitioning algorithm; marine environment; oil slicks monitoring; wireless sensor networks; Adhesives; Clustering algorithms; Heuristic algorithms; Magnetic heads; Measurement; Sensors; Wireless sensor networks; clustering; mobility; wireless sensors network;
Conference_Titel :
Wireless Communications in Unusual and Confined Areas (ICWCUCA), 2012 International Conference on
Conference_Location :
Clermont Ferrand
Print_ISBN :
978-1-4673-1290-5
Electronic_ISBN :
978-1-4673-1289-9
DOI :
10.1109/ICWCUCA.2012.6402488