  Nodes localization in Wireless Sensor Networks (WSN) has arisen as a very
challenging problem in the research community. Most of the applications for WSN
are not useful without a priori known nodes positions. One solution to the
problem is by adding GPS receivers to each node. Since this is an expensive
approach and inapplicable for indoor environments, we need to find an
alternative intelligent mechanism for determining nodes location. In this
paper, we propose our cluster-based approach of multidimensional scaling (MDS)
technique. Our initial experiments show that our algorithm outperforms
MDS-MAP[8], particularly for irregular topologies in terms of accuracy.
