An Integrated Fuzzy-Based System for Cluster-Head Selection and Sensor Speed Control in Wireless Sensor Networks

Miralda Cuka, Donald Elmazi, Takaaki Inaba, Tetsuya Oda, Makoto Ikeda and Leonard Barolli
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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
Leonard Barolli: Fukuoka Institute of Technology, Fukuoka, Japan

International Journal of Distributed Systems and Technologies (IJDST), 2017, vol. 8, issue 2, 1-14

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.

Date: 2017
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