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Print: ISSN 0914-4935
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.
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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Sensors and Materials
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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
(proofreading and recording)
MYU K.K.
(translation service)
The Art of Writing Scientific Papers
(How to write scientific papers)
(Japanese Only)
Sensors and Materials, Volume 30, Number 3(2) (2018)
Copyright(C) MYU K.K.
Copyright(C) MYU K.K.
|
pp. 577-585
S&M1520 Research Paper of Special Issue https://doi.org/10.18494/SAM.2018.1819 Published: March 23, 2018 Application of Energy-efficient Data Gathering to Wireless Sensor Network by Exploiting Spatial Correlation [PDF] Ying Li, Xinwang Zheng, Jing Liu, Nina Hu, and Guangsong Yang (Received October 27, 2017; Accepted December 18, 2017) Keywords: energy-efficient, spatial correlation, data gathering, wireless sensor network
The paper is focused on the study of energy-saving data gathering strategies based on spatial correlation in wireless sensor networks (WSNs). First, the factors influencing spatial correlation on distortion are discussed, and we prove that representative nodes can be selected to reduce data transmission within a certain range of distortion. Second, the performance of greedy corrected clustering (GCC) and k-means algorithms are analyzed. An energy-efficient gathering scheme was proposed by applying GCC and k-means algorithm to a typical lowenergy adaptive clustering hierarchy (LEACH) protocol; the results of simulation show that the scheme can save energy, reduce distortion, and prolong network lifetime.
Corresponding author: Guangsong Yang Cite this article Ying Li, Xinwang Zheng, Jing Liu, Nina Hu, and Guangsong Yang, Application of Energy-efficient Data Gathering to Wireless Sensor Network by Exploiting Spatial Correlation, Sens. Mater., Vol. 30, No. 3, 2018, p. 577-585. |
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