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LDPC Code’s Decoding Algorithms for Wireless Sensor Network: a Brief Review

Weidong Fang1, Wuxiong Zhang1,2, Lianhai Shan1,*, Biruk Assefa3, Wei Chen4
Shanghai Institute of Micro-system and Information Technology, Chinese Academy of Sciences, Shanghai, 201899, China.
Shanghai Research Center for Wireless Communication. Shanghai , 201210, China.
Infromation Communication Technology Department, Wollo University, Dessie Ethiopia, Ethiopia.
School of Computer Science and Technology, China University of Mining and Technology, Xuzhou , 221116, China.
*Corresponding Author: Lianhai Shan. Email: .

Journal of New Media 2019, 1(1), 45-50. https://doi.org/10.32604/jnm.2019.05786

Abstract

As an effective error correction technology, the Low Density Parity Check Code (LDPC) has been researched and applied by many scholars. Meanwhile, LDPC codes have some prominent performances, which involves close to the Shannon limit, achieving a higher bit rate and a fast decoding. However, whether these excellent characteristics are suitable for the resource-constrained Wireless Sensor Network (WSN), it seems to be seldom concerned. In this article, we review the LDPC code’s structure brief.ly, and them classify and summarize the LDPC codes’ construction and decoding algorithms, finally, analyze the applications of LDPC code for WSN. We believe that our contributions will be able to facilitate the application of LDPC code in WSN.

Keywords

Wireless Sensor Network (WSN), Low Density Parity Check Code (LDPC), anti-interference, soft decision, hard decision.

Cite This Article

W. Fang, W. Zhang, L. Shan, B. Assefa and W. Chen, "Ldpc code’s decoding algorithms for wireless sensor network: a brief review," Journal of New Media, vol. 1, no.1, pp. 45–50, 2019.



This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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