A fully-decentralized semantic mechanism for autonomous wireless sensor nodes

Semantic sensor neighborhood has been used to organize nodes into clusters in wireless sensor networks. Semantic clusters are self-adaptable according to information collected/gathered from sensor nodes and collaboratively processed. In this paper, we show that semantic clustering based on fully-dec...

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Bibliographic Details
Published in:Journal of network and computer applications 2016-02, Vol.61, p.142-160
Main Authors: Rocha, Atslands R., Delicato, Flávia C., Pirmez, Luci, Gomes, Danielo G., Souza, José Neuman de
Format: Article
Language:English
Subjects:
Autonomic wireless sensor networks
Clustering mechanisms
Semantic sensor neighborhood
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Summary:Semantic sensor neighborhood has been used to organize nodes into clusters in wireless sensor networks. Semantic clusters are self-adaptable according to information collected/gathered from sensor nodes and collaboratively processed. In this paper, we show that semantic clustering based on fully-decentralized semantic neighborhood mechanisms provides an energy-efficient solution, thus contributing to increase the autonomy of sensors. Our results show that fully-decentralized semantic clustering outperforms partially decentralized semantic clustering algorithms besides traditional clustering algorithms regarding the energy consumed to establish and maintain the clusters.
ISSN:1084-8045
1095-8592
DOI:10.1016/j.jnca.2015.11.001