A cluster head selection method for wireless sensor networks based on fuzzy logic
Document typeConference report
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Rights accessOpen Access
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Sensor networks supported by recent technological advances in low power wireless communications along with silicon integration of various functionalities are emerging as a critically important computer class that enable novel and low cost applications. There are many fundamental problems that sensor networks research will have to address in order to ensure a reasonable degree of cost and system quality. Cluster formation and cluster head selection are important problems in sensor network applications and can drastically affect the network's communication energy dissipation. However, selecting of the cluster head is not easy in different environments which may have different characteristics. In this paper, in order to deal with this problem we propose a power reduction algorithm for sensor networks based on fuzzy logic. We evaluate the proposed method by simulations and show that proposed system makes a good selection of the cluster head.
CitationJunpei, A., Barolli, L., Xhafa, F., Durresi, A. A cluster head selection method for wireless sensor networks based on fuzzy logic. A: IEEE Region 10 Conference on Intelligent Information Communication Technologies for Better Human Life. "TENCON 2007: 2007 IEEE Region 10 conference; Oct. 30, 2007-Nov. 2, 2007, Taipei, Taiwan". Institute of Electrical and Electronics Engineers (IEEE), 2007, p. 1-4.