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An Integrated Fuzzy-Based System for Cluster-Head Selection and Sensor Speed Control in Wireless Sensor Networks
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Author(s): Miralda Cuka (Fukuoka Institute of Technology, Fukuoka, Japan), Donald Elmazi (Fukuoka Institute of Technology, Fukuoka, Japan), Takaaki Inaba (Fukuoka Institute of Technology, Fukuoka, Japan), Tetsuya Oda (Fukuoka Institute of Technology, Fukuoka, Japan), Makoto Ikeda (Fukuoka Institute of Technology, Fukuoka, Japan)and Leonard Barolli (Fukuoka Institute of Technology, Fukuoka, Japan)
Copyright: 2017
Volume: 8
Issue: 2
Pages: 14
Source title:
International Journal of Distributed Systems and Technologies (IJDST)
Editor(s)-in-Chief: Nik Bessis (Edge Hill University, UK)
DOI: 10.4018/IJDST.2017040101
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Abstract
Cluster formation and cluster head selection are important problems in Wireless Sensor Network (WSN) applications and can drastically affect the network's communication energy dissipation. However, selecting the cluster head is not easy in different environments which may have different characteristics. In order to deal with this problem, in this paper, we implement an integrated fuzzy-based system for controlling sensor speed in WSNs. Different from our previous work, we consider 4 input linguistic parameters: Remaining Power of Sensor (RPS), Degree of Number of Neighbor Nodes (D3N), Distance from Cluster Centroid (DCC) and Sensor Speed (SS) for selection of the cluster-head and the control of sensor speed. By controlling the sensor speed, we are able to predict whether the node will leave or stay in the cluster. We evaluate the proposed system by simulations and show that the system has a good behavior.
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