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General Information
    • ISSN: 2010-3719
    • Frequency: Bimonthly
    • DOI: 10.18178/IJIEE
    • Editor-in-Chief: Prof. Chandratilak De Silva Liyanage
    • Associate Executive Editor: Ms. Jennifer Zeng
    • Executive Editor: Mr. Ron C. Wu
    • Abstracting/ Indexing : Google Scholar, Electronic Journals Library, Crossref and ProQuest, Ei (INSPEC, IET).
    • E-mail ijiee@ejournal.net

Faculty of Science, University of Brunei Darussalam, Brunei Darussalam   
" It is a great honor to serve as the editor-in-chief of IJIEE. I'll work together with the editorial team. Hopefully, IJIEE will be recognized among the readers in the related field."
IJIEE 2012 Vol.2(2): 165-169 ISSN: 2010-3719
DOI: 10.7763/IJIEE.2012.V2.74

A Genetic Algorithm-Based Approach for Energy- Efficient Clustering of Wireless Sensor Networks

A. Zahmatkesh and M. H. Yaghmaee
Abstract—In this paper, we propose a Genetic Algorithm (GA) to optimize sensor nodes’ energy consumption. Attention is paid to the clustering technique as an efficient way for reducing energy consumption of a sensor node as well as the cost of transmission. We use a multi-objective algorithm that generates an optimal number of sensor-clusters with cluster-heads and minimizes the cost of transmission. The components are thereafter used and the average fitness of the system is evaluated. The effectiveness of our algorithm is shown by simulation.

Index Terms—Sensor nodes, clustering, cluster-head, energy consumption; cost of transmission.

The authors are with the Department of Computer Engineering, Ferdowsi University of Mashhad, Iran (e-mail: zahmatkesh.afsane@stu-mail.um.ac.ir; e-mail: hyaghmae@ferdowsi.um.ac.ir).


Cite: A. Zahmatkesh and M. H. Yaghmaee, "A Genetic Algorithm-Based Approach for Energy- Efficient Clustering of Wireless Sensor Networks," International Journal of Information and Electronics Engineering, vol. 2, no. 2, pp. 165-169, 2012.

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