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Using Kohonen’s Self-Organizing Map for Clustering in Sensor Networks

By Chiranjib Patra and Tollygunge Kolkata

Abstract

Clustering is a technique that can be used to classify objects (e.g. individuals, quadrates, species etc). While Kohonen’s Self-Organizing Map (SOM) networks have been successfully applied as a classification tool to various problem domains, including Mobile Ad-hoc networks, sensor networks, robot control and medical diagnosis, its potential as a robust substitute for clustering analysis remains relatively unresearched. In this paper, SOM is used to cluster the sensor nodes dispersed in nonhomogeneous space so that efficient transmit power management of the nodes can be made

Topics: Self organizing maps, cluster Analysis
Year: 2011
OAI identifier: oai:CiteSeerX.psu:10.1.1.184.6590
Provided by: CiteSeerX
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