Neural network algorithm for clustering wireless sensor network nodes based on Kohonen self-organizing maps

DOI: 10.21293/1818-0442-2018-21-4-87-91

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Abstract: The neural network algorithm for clustering the nodes of a wireless sensor network based on the Kohonen self- organizing map is investigated. Various methods for clustering nodes of a wireless sensor network are considered. The results of clustering modeling using a neural network algorithm for clustering the nodes of a wireless sensor network are presented. A method to improve the quality of neural cluster- ing network is also presented.

Keywords: wireless sensor network, neural network algorithm, clustering, self-organization, network topology

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For citation:
Paraschinets A. V., Efremova A. E. Neural network algorithm for clustering wireless sensor network nodes based on Kohonen self-organizing maps. Doklady Tomskogo gosudarstvennogo universiteta sistem upravleniya i radioelektroniki, 2018, vol. 21, no. 4, pp. 87–91. DOI: 10.21293/1818-0442-2018-21-4-87-91

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