Please use this identifier to cite or link to this item: https://dspace.upt.ro/xmlui/handle/123456789/7201
Title: Energy efficient clustreing methods in wireless sensor networks using binary coded genetic algorithm [articol]
Authors: S. Jesudurai, Anthony
Senthilkumar, A.
Sanjeevi Gandhi, A.
Subjects: Wireless sensor networks
LEACH
Binary coded Genetic Algorithm
Issue Date: 2018
Publisher: Timișoara : Editura Politehnica
Citation: S. Jesudurai, Anthony; Senthilkumar,A.; Sanjeevi Gandhi,A.: Energy efficient clustreing methods in wireless sensor networks using binary coded genetic algorithm. Timişoara: Editura Politehnica, 2018.
Series/Report no.: Journal of Electrical Engineering;Vol 18 No 4
Abstract: In this paper, a binary coded genetic algorithm is proposed to improve the lifetime of Wireless Sensor Networks (WSN). The proposed method selects the Cluster Heads (CHs) in each round that minimizes the energy consumption. The proposed method can be considered as a replacement for other conventional cluster based approaches like Low-Energy Adaptive Clustering Hierarchy (LEACH). The proposed clustering algorithm is simulated and tested using MATLAB for network architecture consist of 50 nodes that are distributed in the 100 square meters area. From the results it is observed that the proposed Energy Efficient Clustering Algorithm (GA-EECA) outperforms the conventional LEACH. The simulation results were very promising in terms of sensor node life time.
URI: https://dspace.upt.ro/xmlui/handle/123456789/7201
ISSN: 1582-4594
Appears in Collections:Articole științifice/Scientific articles

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