Title :
Cluster head selection using decision trees for Wireless Sensor Networks
Author :
Ahmed, Ghufran ; Khan, Noor M. ; Khalid, Zubair ; Ramer, Rodica
Author_Institution :
Centre for Res. on Wireless Mobility & Networks, Univ. of Texas at Arlington, Arlington, TX
Abstract :
Wireless sensor network (WSN) is the hot research topic in the civil as well as military applications. Researchers are working in this area to boost it up according to the current needs and requirements. An efficient way to enhance the lifetime of the WSN is to partition the network into distinct clusters with a high-energy node called gateway as cluster-head. In this paper we present the cluster head selection scheme based on four major factors. We are using decision tree algorithm to select the best node as a cluster head. Simulation results show that the performance of this scheme is better than the cluster head selection using both the AHP (analytical hierarchy process) and the LEACH (low energy adaptive clustering hierarchy).
Keywords :
decision trees; wireless sensor networks; analytical hierarchy process; cluster head selection; cluster head selection scheme; decision tree algorithm; gateway; high-energy node; low energy adaptive clustering hierarchy; wireless sensor networks; Analytical models; Base stations; Batteries; Clustering algorithms; Decision trees; Monitoring; Partitioning algorithms; Performance analysis; Routing protocols; Wireless sensor networks; Network clustering; Wireless Sensor Network;
Conference_Titel :
Intelligent Sensors, Sensor Networks and Information Processing, 2008. ISSNIP 2008. International Conference on
Conference_Location :
Sydney, NSW
Print_ISBN :
978-1-4244-3822-8
Electronic_ISBN :
978-1-4244-2957-8
DOI :
10.1109/ISSNIP.2008.4761982