Internal-genetic-algorithm-based, energy-efficient clusters

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Date

2016

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Volume Title

Publisher

MAEJO UNIV

Access Rights

info:eu-repo/semantics/openAccess

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Abstract

We propose an internal-genetic-algorithm-based, energy-efficient clustering (INGABEEC) method to enhance the lifetime of wireless sensor networks (WSNs). The proposed method generates energy-efficient clusters by considering several aspects of the WSNs. The INGABEEC generates energy-efficient clusters by genetic algorithm, where cluster heads are changed dynamically. Furthermore, the INGABEEC is improved by using an intra-cluster communication between non-cluster head nodes.

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Keywords

wireless sensor networks, energy-efficient clustering, genetic algorithm

Journal or Series

MAEJO INTERNATIONAL JOURNAL OF SCIENCE AND TECHNOLOGY

WoS Q Value

Q4

Scopus Q Value

Q3

Volume

10

Issue

3

Citation