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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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| Volume 1 - Issue 24 |
| Published: February 2010 |
| Authors: Chiranjib Patra |
10.5120/552-722
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| PDF not available |
Chiranjib Patra . Using Kohonen’s Self-Organizing Map for Clustering in Sensor Networks. International Journal of Computer Applications. 1, 24 (February 2010), 80-81. DOI=10.5120/552-722
@article{ 10.5120/552-722,
author = { Chiranjib Patra },
title = { Using Kohonen’s Self-Organizing Map for Clustering in Sensor Networks },
journal = { International Journal of Computer Applications },
year = { 2010 },
volume = { 1 },
number = { 24 },
pages = { 80-81 },
doi = { 10.5120/552-722 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2010
%A Chiranjib Patra
%T Using Kohonen’s Self-Organizing Map for Clustering in Sensor Networks%T
%J International Journal of Computer Applications
%V 1
%N 24
%P 80-81
%R 10.5120/552-722
%I Foundation of Computer Science (FCS), NY, USA
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 non-homogeneous space so that efficient transmit power management of the nodes can be made.