Cluster Head Selection Optimization Based on Genetic Algorithm to Prolong Lifetime of Wireless Sensor Networks

Wireless sensor networks gain ample interest because of their wide range of applications. Efficient energy consumption of nodes is the prime design issue for these networks. Clustering approaches prolong the network lifetime with the load balanced network. To achieve load balancing clustering algori...

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Vydáno v:	Procedia computer science Ročník 57; s. 1417 - 1423
Hlavní autoři:	Pal, Vipin, Yogita, Singh, Girdhari, Yadav, R.P.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier B.V 2015
Témata:	clustering Algorithms Energy Efficiency genetic algorithm Wireless sensor networks genetic algorithm Wireless sensor networks Energy Efficiency clustering Algorithms
ISSN:	1877-0509, 1877-0509
On-line přístup:	Získat plný text
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Popis
Shrnutí:	Wireless sensor networks gain ample interest because of their wide range of applications. Efficient energy consumption of nodes is the prime design issue for these networks. Clustering approaches prolong the network lifetime with the load balanced network. To achieve load balancing clustering algorithm rotate the role of cluster head among the nodes so, cluster head selection process is pivotal for clustering algorithms. Work of this paper presents a genetic algorithm based cluster head selection for centralized clustering algorithms to have a better load balanced network than the traditional clustering algorithm. Simulation shows that the proposed solution finds the optimal cluster heads and has prolonged network lifetime than the traditional clustering algorithms.
ISSN:	1877-0509 1877-0509
DOI:	10.1016/j.procs.2015.07.461