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IJSTR >> Volume 9 - Issue 3, March 2020 Edition

International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616

Energy Efficient Cluster Head Selection In Software Defined Networking Using Improved Particle Swarm Optimization

[Full Text]



S.Suganthi, Dr.D.Usha



Sensor network, clustering algorithms, energy, cluster head, particle swarm optimization.



In real world applications internet of things becoming an important role. Most IoT applications are integrated with wireless sensor networks. Usually the wireless sensor networks in IoT require hundreds or thousands of sensors may be deployed and integrated. In this scenario management of networks is the biggest issue. To manage the larger network scenario software defined networking is an added advantage. It gives a promising solution for flexible management of data plane and control plane. Efficient transmission of data with minimum energy is the main goal. So dividing the nodes into multiple clusters and cluster head is needed for manage those clusters. To maximizing the lifetime of the network with minimum energy there is in need of energy efficient cluster head selection. We provide the optimality in cluster head selection by using particle swarm optimization. There are so many researchers are already done this work with PSO but the results are not up to the level. This paper demonstrated the updated PSO algorithm through modified and improved fitness function. The proposed algorithm is experimented in matlab and the results are evaluated to show their supremacy in term of alive nodes, energy expenditure, dead nodes and fitness value.



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