Cluster-based MDS Algorithm for Nodes Localization in Wireless Sensor Networks with Irregular Topologies

June 23, 2016 Β· Declared Dead Β· πŸ› International Conference on Soft Computing as Transdisciplinary Science and Technology

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Authors Biljana Stojkoska, Danco Davcev, Andrea Kulakov arXiv ID 1606.07506 Category cs.DC: Distributed Computing Cross-listed cs.NI Citations 16 Venue International Conference on Soft Computing as Transdisciplinary Science and Technology Last Checked 3 months ago
Abstract
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.
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