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Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
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Sensors and Materials
is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.
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is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.
Instructions to authors
English 日本語
Instructions for manuscript preparation
English 日本語
Template
English
Publisher
MYU K.K.
Sensors and Materials
1-23-3-303 Sendagi,
Bunkyo-ku, Tokyo 113-0022, Japan
Tel: 81-3-3827-8549
Fax: 81-3-3827-8547
MYU Research, a scientific publisher, seeks a native English-speaking proofreader with a scientific background. B.Sc. or higher degree is desirable. In-office position; work hours negotiable. Call 03-3827-8549 for further information.
MYU Research
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MYU K.K.
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The Art of Writing Scientific Papers
(How to write scientific papers)
(Japanese Only)
Sensors and Materials, Volume 26, Number 5 (2014)
Copyright(C) MYU K.K.
Copyright(C) MYU K.K.
|
pp. 325-332
S&M998 Research Paper of Special Issue https://doi.org/10.18494/SAM.2014.992 Published: June 30, 2014 A Concentric Clustering Architecture with Particle Swarm Optimization Algorithm in a Wireless Sensor Network [PDF] Young-Long Chen, Neng-Chung Wang, Mu-Yen Chen, Yung-Fa Huang and Yi-Nung Shih (Received December 24, 2013; Accepted March 6, 2014) Keywords: WSNs, energy efficiency, clustering algorithm, PSO algorithm
The lifetime of wireless sensor networks (WSNs) is limited because the sensor nodes must rely on battery power, which is a limited resource. In this paper, we improve a Clustering Algorithm based on Social Insect Colonies (CASIC) to extend the lifetime of a WSN. We propose the CASIC with Particle Swarm Optimization (CASIC-PSO) scheme, which uses a Particle Swarm Optimization (PSO) algorithm to select a cluster head that can prevent the selection of inappropriate nodes and balance the node energy consumption. Simulation results show that our scheme effectively reduces energy consumption and extends the lifetime of WSNs.
Corresponding author: Young-Long Chen Cite this article Young-Long Chen, Neng-Chung Wang, Mu-Yen Chen, Yung-Fa Huang and Yi-Nung Shih, A Concentric Clustering Architecture with Particle Swarm Optimization Algorithm in a Wireless Sensor Network, Sens. Mater., Vol. 26, No. 5, 2014, p. 325-332. |
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