An enhanced single-disk fast recovery algorithm based on EVENODD encoding: Research and improvements

Research Article
Open access

An enhanced single-disk fast recovery algorithm based on EVENODD encoding: Research and improvements

Jiangbo Luo 1*
  • 1 College of Electronics and Information Engineering, Shenzhen University, Shenzhen, 518060, China    
  • *corresponding author 2019282103@email.szu.edu.cn
Published on 31 January 2024 | https://doi.org/10.54254/2755-2721/32/20230183
ACE Vol.32
ISSN (Print): 2755-273X
ISSN (Online): 2755-2721
ISBN (Print): 978-1-83558-289-3
ISBN (Online): 978-1-83558-290-9

Abstract

In the wake of rapid advancements in information technology, the need for reliable and efficient data transmission continues to escalate in importance. Channel coding, as a pivotal technology, holds significant influence over data communication. This paper delves into the fundamental technologies of channel coding and their prominent applications. Initially, the study introduces the current research status and the significance of channel coding. Following this, a comprehensive illustration and introduction to the classical coding methods of channel coding are provided. Concluding this exploration, the paper elucidates on the prevalent applications of different channel coding methodologies in scenarios such as the Internet of Things, 5G, and satellite communication, using real-world examples for clarity. Through this comprehensive research, readers gain an understanding of the key technologies underpinning channel coding, as well as the diverse applications that typify its use. By casting light on the practical implications of channel coding in contemporary technological contexts, the paper serves as a valuable resource for those seeking to deepen their knowledge and understanding of this pivotal field.

Keywords:

channel coding, internet of things, 5G, satellite communications

Luo,J. (2024). An enhanced single-disk fast recovery algorithm based on EVENODD encoding: Research and improvements. Applied and Computational Engineering,32,50-57.
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References

[1]. Shannon, C. E. (1948). A mathematical theory of communication. The Bell System Technical Journal, 27(3), 379-423.

[2]. Hamming, R. W. (1950). Error detecting and error correcting codes. The Bell System Technical Journal, 29(2), 147-160.

[3]. Chien, R. (1964). Cyclic decoding procedures for Bose-Chaudhuri-Hocquenghem codes. IEEE Transactions on Information Theory, 10(4), 357-363.

[4]. Berrou, C., Glavieux, A., & Thitimajshima, P. (1993). Near Shannon limit error-correcting coding and decoding: Turbo-codes. 1. In Proceedings of ICC'93-IEEE International Conference on Communications (Vol. 2, pp. 1064-1070). IEEE.

[5]. Gallager, R. (1962). Low-density parity-check codes. IRE Transactions on Information Theory, 8(1), 21-28.

[6]. Arikan, E. (2009). Channel polarization: A method for constructing capacity-achieving codes for symmetric binary-input memoryless channels. IEEE Transactions on Information Theory, 55(7), 3051-3073.

[7]. Xiong, X. Han, Zhong, C. -N. Yang, & Xiong, N. N. (2023). RSIS: A Secure and Reliable Secret Image Sharing System Based on Extended Hamming Codes in Industrial Internet of Things. IEEE Internet of Things Journal, 10(3), 1933-1945.

[8]. Adamu, M. J., Qiang, L., Zakariyya, R. S., et al. (2021). An efficient turbo decoding and frequency domain turbo equalization for lte based narrowband internet of things (nb-iot) systems. Sensors, 21(16), 5351.

[9]. Wang, Z., Du, Y., Wei, K., et al. (2022). Vision, application scenarios, and key technology trends for 6G mobile communications. Science China Information Sciences, 65(5), 151301.

[10]. Saura, J. R., Palacios-Marqués, D., & Ribeiro-Soriano, D. (2021). Using data mining techniques to explore security issues in smart living environments in Twitter. Computer Communications, 179, 285-295.

[11]. Wolpaw, J. R., Birbaumer, N., Heetderks, W. J., et al. (2000). Brain-computer interface technology: a review of the first international meeting. IEEE Transactions on Rehabilitation Engineering, 8(2), 164-173.

[12]. Radianti, J., Majchrzak, T. A., Fromm, J., et al. (2020). A systematic review of immersive virtual reality applications for higher education: Design elements, lessons learned, and research agenda. Computers & Education, 147, 103778.

Cite this article

Luo,J. (2024). An enhanced single-disk fast recovery algorithm based on EVENODD encoding: Research and improvements. Applied and Computational Engineering,32,50-57.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Volume title: Proceedings of the 2023 International Conference on Machine Learning and Automation

ISBN：978-1-83558-289-3(Print) / 978-1-83558-290-9(Online)
Editor：Mustafa İSTANBULLU
Conference website: https://2023.confmla.org/
Conference date: 18 October 2023
Series: Applied and Computational Engineering
Volume number: Vol.32
ISSN：2755-2721(Print) / 2755-273X(Online)

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References

[1]. Shannon, C. E. (1948). A mathematical theory of communication. The Bell System Technical Journal, 27(3), 379-423.

[2]. Hamming, R. W. (1950). Error detecting and error correcting codes. The Bell System Technical Journal, 29(2), 147-160.

[3]. Chien, R. (1964). Cyclic decoding procedures for Bose-Chaudhuri-Hocquenghem codes. IEEE Transactions on Information Theory, 10(4), 357-363.

[4]. Berrou, C., Glavieux, A., & Thitimajshima, P. (1993). Near Shannon limit error-correcting coding and decoding: Turbo-codes. 1. In Proceedings of ICC'93-IEEE International Conference on Communications (Vol. 2, pp. 1064-1070). IEEE.

[5]. Gallager, R. (1962). Low-density parity-check codes. IRE Transactions on Information Theory, 8(1), 21-28.

[6]. Arikan, E. (2009). Channel polarization: A method for constructing capacity-achieving codes for symmetric binary-input memoryless channels. IEEE Transactions on Information Theory, 55(7), 3051-3073.

[7]. Xiong, X. Han, Zhong, C. -N. Yang, & Xiong, N. N. (2023). RSIS: A Secure and Reliable Secret Image Sharing System Based on Extended Hamming Codes in Industrial Internet of Things. IEEE Internet of Things Journal, 10(3), 1933-1945.

[8]. Adamu, M. J., Qiang, L., Zakariyya, R. S., et al. (2021). An efficient turbo decoding and frequency domain turbo equalization for lte based narrowband internet of things (nb-iot) systems. Sensors, 21(16), 5351.

[9]. Wang, Z., Du, Y., Wei, K., et al. (2022). Vision, application scenarios, and key technology trends for 6G mobile communications. Science China Information Sciences, 65(5), 151301.

[10]. Saura, J. R., Palacios-Marqués, D., & Ribeiro-Soriano, D. (2021). Using data mining techniques to explore security issues in smart living environments in Twitter. Computer Communications, 179, 285-295.

[11]. Wolpaw, J. R., Birbaumer, N., Heetderks, W. J., et al. (2000). Brain-computer interface technology: a review of the first international meeting. IEEE Transactions on Rehabilitation Engineering, 8(2), 164-173.

[12]. Radianti, J., Majchrzak, T. A., Fromm, J., et al. (2020). A systematic review of immersive virtual reality applications for higher education: Design elements, lessons learned, and research agenda. Computers & Education, 147, 103778.

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