IJIRST (International Journal for Innovative Research in Science & Technology)ISSN (online) : 2349-6010

 International Journal for Innovative Research in Science & Technology

Energy efficient Clustering Techniques using Genetic Algorithm in Wireless Sensor Network :A Survey


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International Journal for Innovative Research in Science & Technology
Volume 2 Issue - 9
Year of Publication : 2016
Authors : AMARPREET KAUR

BibTeX:

@article{IJIRSTV2I9027,
     title={Energy efficient Clustering Techniques using Genetic Algorithm in Wireless Sensor Network :A Survey },
     author={AMARPREET KAUR},
     journal={International Journal for Innovative Research in Science & Technology},
     volume={2},
     number={9},
     pages={200--203},
     year={},
     url={http://www.ijirst.org/articles/IJIRSTV2I9027.pdf},
     publisher={IJIRST (International Journal for Innovative Research in Science & Technology)},
}

Abstract:

Wireless sensor network (WSNs) are networks of distributed autonomous devices aimed to monitor and record conditions at various locations to send the sensed data to a processing unit. It is not always possible to recharge or replace the sensor nodes in various applications such as in war fields. Therefore, sensor nodes energy depletion is a critical issue in wireless sensor networks. This paper presents a survey of energy efficient clustering techniques using a computational intelligence technique, Genetic Algorithm (GA) in which the power consumption problem is chiefly addressed.


Keywords:

Cluster Head; Energy; Clustering; Genetic Algorithm; Wireless Sensor Network, Computational Intelligence
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