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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 36, Number 12(2) (2024)
Copyright(C) MYU K.K.
Copyright(C) MYU K.K.
|
pp. 5233-5246
S&M3864 Research Paper of Special Issue https://doi.org/10.18494/SAM5120 Published: December 20, 2024 Lossless Data Compression of Wireless Sensor in Bridge Inspection System [PDF] Zhengsong Ni, Shuri Cai, and Cairong Ni (Received April 30, 2024; Accepted November 29, 2024) Keywords: lossless data compression algorithm, wireless sensor network, bridge inspection, Huffman compression algorithm, dictionary model
In bridge inspection using wireless technology, the sensor node carries very limited energy. In this paper, data compression technology to reduce the amount of communication data by sacrificing data accuracy is introduced. The lossless data compression algorithm was chosen as the algorithm of the bridge inspection system, and the algorithm was further improved. In addition, we compared the compression rates and execution times of the Huffman, Lempel–Ziv–Storer–Szymanski (LZSS), and improved Lempel–Ziv–Welch (LZW) algorithms. The results showed that the improved LZW algorithm is highly adaptable, accommodates any type of input data, and can make full use of the repeatability of data. Therefore, this lossless data compression algorithm is suitable for application in the wireless sensor networks of bridge inspection systems.
Corresponding author: Shuri Cai  This work is licensed under a Creative Commons Attribution 4.0 International License. Cite this article Zhengsong Ni, Shuri Cai, and Cairong Ni, Lossless Data Compression of Wireless Sensor in Bridge Inspection System, Sens. Mater., Vol. 36, No. 12, 2024, p. 5233-5246. |
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