Title :
The Study of Classification with SVM in MANeT
Author :
Wang, Lv ; Qing, Ye
Author_Institution :
Changsha Univ. of Sci. & Technol., Changsha, China
Abstract :
The nodes in MANet are generally partitioned into individual clusters, some nodes known as cluster heads are responsible for resource allocation to member nodes in its cluster. In this paper, support vector machine was trained to classify the mobile nodes as cluster-head nodes or member nodes. The training SVM was used to recognize the mobile nodes in MANet. Simulation results show that the method is available to simplify the clustering process in MANet.
Keywords :
ad hoc networks; learning (artificial intelligence); mobile radio; pattern classification; pattern clustering; resource allocation; support vector machines; telecommunication computing; MANET; SVM; classification; cluster-head nodes; clustering process; mobile ad hoc networks; mobile nodes; resource allocation; support vector machine; Ad hoc networks; Clustering algorithms; Machine learning; Mechatronics; Mobile computing; Paper technology; Partitioning algorithms; Resource management; Support vector machine classification; Support vector machines; MANet; SVM; clustering;
Conference_Titel :
Measuring Technology and Mechatronics Automation (ICMTMA), 2010 International Conference on
Conference_Location :
Changsha City
Print_ISBN :
978-1-4244-5001-5
Electronic_ISBN :
978-1-4244-5739-7
DOI :
10.1109/ICMTMA.2010.739
