Lowered-Complexity Decoding Algorithms of LDPC Codes for Agricultural-WSNs

被引：0

作者：

Noh, Dong-Hee ^{[1
]}

Jeong, Sung-Hwan ^{[1
]}

Choi, Ju-Hwan ^{[1
]}

Kim, Dong-Seong ^{[2
]}

机构：

[1] Korea Elect Technol Inst KETI, Software Convergence Cluster, Jeonju, South Korea

[2] Kumoh Natl Inst Technol, Dept IT Convergence Engn, Gumi, South Korea

来源：

2019 ELEVENTH INTERNATIONAL CONFERENCE ON UBIQUITOUS AND FUTURE NETWORKS (ICUFN 2019) | 2019年

关键词：

LDPC; Sum Product Algorithm Decoding; Decoding Complexity; Decoding Throughput; Wireless Sensor Network;

D O I：

10.1109/icufn.2019.8806113

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper proposes a pattern based Low-density parity-check (LDPC) codes scheme to reduce the decoding complexity using logical XOR. New approaches to this paper describe the pattern based encoder which using logical XOR operation. The proposed scheme can reduce iteration, complexity and packet errors while decoding procedures. It can obtain enhanced throughput performance and at receiver sides in several Signal to Noise Ratio (SNR) levels. Simulation results show that the proposed method can improve the throughput and transmission delay for wireless sensor networks.

引用

页码：407 / 412

页数：6

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