A fully-decentralized semantic mechanism for autonomous wireless sensor nodes. (February 2016)

• Record Type: Journal Article
• Authors: Rocha, Atslands R.; Delicato, Flávia C.; Pirmez, Luci; Gomes, Danielo G.; Souza, José Neuman de
• Is Part Of: Journal of network and computer applications. Volume 61(2016)
• Page Start: 142
• Page End: 160
• Publication Date: 2016-02
• Subjects: Semantic sensor neighborhood -- Clustering mechanisms -- Autonomic wireless sensor networks; Microcomputers -- Periodicals; Computer networks -- Periodicals; Application software -- Periodicals; Micro-ordinateurs -- Périodiques; Réseaux d'ordinateurs -- Périodiques; Logiciels d'application -- Périodiques; Application software; Computer networks; Microcomputers; Periodicals; 004.05; 004
• DOI: 10.1016/j.jnca.2015.11.001
• Languages: English
• ISSNs: 1084-8045

Abstract

Abstract: 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.