Notice of retraction
Vol. 32, No. 8(2), S&M2292

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.
Sensors and Materials
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 33, Number 2(3) (2021)
Copyright(C) MYU K.K.
pp. 763-774
S&M2493 Research Paper of Special Issue
https://doi.org/10.18494/SAM.2021.3043
Published: February 26, 2021

Fast Adaptive Low-density Parity Check Coding Based on Confidence Criteria [PDF]

Xiue Gao, Tianshu Zhang, Shifeng Chen, Bo Chen, Chun-Chi Chen, and Hsien-Wei Tseng

(Received July 20, 2020; Accepted January 26, 2021)

Keywords: LDPC code, confidence criteria, shortening, puncturing, IEEE802.16e

Low-density parity check (LDPC) codes have been gradually used in Wireless Sensor Networks (WSNs) owing to their strong error-correcting ability, low coding complexity, and high decoding efficiency. The shortcomings of the IEEE802.16e standard for LDPC coding algorithms are the fixed code length and code rates. These requirements are difficult to meet because LDPC code shortening and puncturing methods are currently underdeveloped. In this paper, we present an efficient adaptive LDPC coding method based on confidence criteria. First, a log likelihood ratio-based belief propagation (LLR-BP) algorithm iteratively generates a confidence value that is used to determine the priority ranking of shortening and puncturing positions across an information sequence. At transmission, the shortening position of the information sequence is set to 0 whenever the code length is less than one LDPC code word. Coding can be completed rapidly using the information sequence along with the original information bits. Faster coding can also be achieved by using the original information when the current code rate is lower than the rate demanded. The coding sequence can be sent after deleting the puncturing position corresponding to the verified bit. Knowing that this procedure has been applied enables BP decoding to be performed at the receiving end. Simulation results show that the method can adaptively adjust the code length and code rate and effectively improve the performance of LDPC coding algorithms. Thus, the anti-jamming ability of WSNs is enhanced.

Corresponding author: Bo Chen, Hsien-Wei Tseng


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

Cite this article
Xiue Gao, Tianshu Zhang, Shifeng Chen, Bo Chen, Chun-Chi Chen, and Hsien-Wei Tseng, Fast Adaptive Low-density Parity Check Coding Based on Confidence Criteria, Sens. Mater., Vol. 33, No. 2, 2021, p. 763-774.



Forthcoming Regular Issues


Forthcoming Special Issues

Special Issue on Micro-nano Biomedical Sensors, Devices, and Materials
Guest editor, Tetsuji Dohi (Chuo University) and Seiichi Takamatsu (The University of Tokyo)


Special Issue on Artificial Intelligence in Sensing Technologies and Systems
Guest editor, Prof. Lin Lin (Dalian University of Technology)


Special issue on Novel Materials and Sensing Technologies on Electronic and Mechanical Devices Part 3
Guest editor, Teen-Hang Meen (National Formosa University), Wenbing Zhao (Cleveland State University), and Hsien-Wei Tseng (Yango University)


7th Special Issue on the Workshop of Next-generation Front-edge Optical Science Research
Guest editor, Takayuki Yanagida (Nara Institute of Science and Technology)


Special Issue on Sensing and Data Analysis Technologies for Living Environment, Health Care, Production Management and Engineering/Science Education Applications (Selected Papers from ICSEVEN 2020)
Guest editor, Chien-Jung Huang (National University of Kaohsiung), Rey-Chue Hwang (I-Shou University), Ja-Hao Chen (Feng Chia University), Ba-Son Nguyen (Research Center for Applied Sciences)
Call for paper


Special Issue on Materials, Devices, Circuits, and Analytical Methods for Various Sensors (Selected Papers from ICSEVEN 2020)
Guest editor, Chien-Jung Huang (National University of Kaohsiung), Ja-Hao Chen (Feng Chia University), and Yu-Ju Lin (Tunghai University)
Conference website
Call for paper


Copyright(C) MYU K.K. All Rights Reserved.