Please use this identifier to cite or link to this item: https://research.matf.bg.ac.rs/handle/123456789/1233
Title: A classification and comparison of Data Mining algorithms for Wireless Sensor Networks
Authors: Vujičić Stanković, Staša 
Rakočevic, Goran
Kojić, Nemanja
Milićev, Dragan
Affiliations: Informatics and Computer Science 
Issue Date: 23-Jul-2012
Related Publication(s): IEEE International Conference on Industrial Technology, ICIT 2012, Proceedings
Abstract: 
With the technological developments, the Wireless Sensor Network (WSN) nodes are getting smaller, but WSNs are getting larger, currently containing thousands, possible millions of nodes in the future. Consequently, dealing with the shear volume of data produced by these networks poses a serious challenge, one logically approached through use of Data Mining techniques. This has inspired a body of research which aims to develop new, and adapt existing solutions for Distributed Data Mining (DDM), so that they can be efficiently used in WSN. This paper presents and overview of such approaches. A classification framework is proposed, and selected solutions form the current State-of-the-Art available in open literature are presented, and categorized © 2012 IEEE.
URI: https://research.matf.bg.ac.rs/handle/123456789/1233
ISBN: 9781467303422
DOI: 10.1109/ICIT.2012.6209949
Appears in Collections:Research outputs

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