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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Veröffentlicht in:Procedia computer science Jg. 57; S. 1417 - 1423
Hauptverfasser: Pal, Vipin, Yogita, Singh, Girdhari, Yadav, R.P.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Elsevier B.V 2015
Schlagworte:
clustering Algorithms
Energy Efficiency
genetic algorithm
Wireless sensor networks
genetic algorithm
Wireless sensor networks
Energy Efficiency
clustering Algorithms
ISSN:1877-0509, 1877-0509
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Zusammenfassung: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