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Optimization of Clustering in Wireless Sensor Networks Using Genetic Algorithm

Optimization of Clustering in Wireless Sensor Networks Using Genetic Algorithm

Pritee Parwekar, Sireesha Rodda
Copyright: © 2017 |Volume: 8 |Issue: 4 |Pages: 15
ISSN: 1947-8283|EISSN: 1947-8291|EISBN13: 9781522513247|DOI: 10.4018/IJAMC.2017100105
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MLA

Parwekar, Pritee, and Sireesha Rodda. "Optimization of Clustering in Wireless Sensor Networks Using Genetic Algorithm." IJAMC vol.8, no.4 2017: pp.84-98. http://doi.org/10.4018/IJAMC.2017100105

APA

Parwekar, P. & Rodda, S. (2017). Optimization of Clustering in Wireless Sensor Networks Using Genetic Algorithm. International Journal of Applied Metaheuristic Computing (IJAMC), 8(4), 84-98. http://doi.org/10.4018/IJAMC.2017100105

Chicago

Parwekar, Pritee, and Sireesha Rodda. "Optimization of Clustering in Wireless Sensor Networks Using Genetic Algorithm," International Journal of Applied Metaheuristic Computing (IJAMC) 8, no.4: 84-98. http://doi.org/10.4018/IJAMC.2017100105

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Abstract

The energy of a sensor node is a major factor for life of a network in wireless sensor network. The depletion of the sensor energy is dependent on the communication range from the sink. Clustering is mainly used to prolong the life of a network with energy consumption. This paper proposes optimization of clustering using genetic algorithm which will help to minimize the communication distance. The cluster overhead and the active and sleep mode of a sensor is also considered while calculating the fitness function to form the cluster. This approach helps to prolong the network life of sensor network. The proposed work is tested for different number of nodes and is helping to find the correct solution for the selection of cluster heads.

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