Exploring the application and performance of extended hamming code in IoT devices

Research Article
Open access

Exploring the application and performance of extended hamming code in IoT devices

Liuxu Shen 1*
  • 1 Computer Science & Technology, Nanjing University of Information Science & Technology, Nanjing, 210044, China    
  • *corresponding author 202083420072@nuist.edu.cn
Published on 31 January 2024 | https://doi.org/10.54254/2755-2721/32/20230186
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

This study primarily focuses on the implementation of extended Hamming code within Internet of Things (IoT) devices and examines its impact on device performance, particularly in relation to communication protocols. The research begins by introducing and explaining the essential principles surrounding the extended Hamming code and its system. This introduction is followed by a detailed analysis of its practical application in IoT device communication and the subsequent influence on performance. Additionally, the study explores the potential role of extended Hamming code in strengthening the security measures of IoT devices. Experimental findings indicate that incorporating extended Hamming code can effectively enhance the communication efficiency of IoT devices, ensuring accurate data transmission. It also improves the overall operational efficiency of the devices and fortifies their security framework. Yet, despite these promising outcomes, the real-world application of extended Hamming code presents significant challenges. These hurdles highlight the need for continued research and exploration to maximize the potential of the extended Hamming code in the IoT domain. The study concludes with an optimistic outlook, encouraging ongoing investigation and innovation to further optimize the benefits of this code and drive advancements in IoT technology.

Keywords:

internet of things, extended hamming code, communication protocol, device performance, device security

Shen,L. (2024). Exploring the application and performance of extended hamming code in IoT devices. Applied and Computational Engineering,32,71-76.
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References

[1]. Xiong L, Han X, Zhong X, et al. RSIS: A secure and reliable secret image sharing system based on extended Hamming codes in industrial Internet of Things[J]. IEEE Internet of Things Journal, 2021, 10(3): 1933-1945.

[2]. Isakov D A, Sokolov A V. McELIECE CRYPTOSYSTEM BASED ON QUATERNARY HAMMING CODES[J]. Informatics & Mathematical Methods in Simulation, 2022, 12(4).

[3]. Torres-Alvarado A, Morales-Rosales L A, Algredo-Badillo I, et al. An SHA-3 Hardware Architecture against Failures Based on Hamming Codes and Triple Modular Redundancy[J]. Sensors, 2022, 22(8): 2985.

[4]. He Y, Xiao C, Wang S, et al. Smart all-time vision: The battery-free video communication for urban administration and law enforcement[J]. Digital Communications and Networks, 2023.

[5]. Cintas-Canto A, Kermani M M, Azarderakhsh R. Error Detection Constructions for ITA Finite Field Inversions Over on FPGA Using CRC and Hamming Codes[J]. IEEE Transactions on Reliability, 2022.

[6]. Septien-Hernandez J A, Arellano-Vazquez M, Contreras-Cruz M A, et al. A Comparative study of post-quantum cryptosystems for Internet-of-Things applications[J]. Sensors, 2022, 22(2): 489.

[7]. Al Homssi B, Dakic K, Maselli S, et al. IoT network design using open-source LoRa coverage emulator[J]. IEEE access, 2021, 9: 53636-53646.

[8]. Nguyen C D, Nguyen P D, Nguyen A T, et al. Performance Evaluation Of Neural Network-Based Channel Detection For STT-MRAM[C]//2021 8th NAFOSTED Conference on Information and Computer Science (NICS). IEEE, 2021: 430-434.

[9]. Nguyen T A, Lee J. Improving Bit-Error-Rate Performance Using Modulation Coding Techniques for Spin-Torque Transfer Magnetic Random Access Memory[J]. IEEE Access, 2023, 11: 33005-33013.

[10]. Larue G, Dufrene L A, Lampin Q, et al. Neural Belief Propagation Auto-Encoder for Linear Block Code Design[J]. IEEE Transactions on Communications, 2022, 70(11): 7250-7264.

Cite this article

Shen,L. (2024). Exploring the application and performance of extended hamming code in IoT devices. Applied and Computational Engineering,32,71-76.

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)

© 2024 by the author(s). Licensee EWA Publishing, Oxford, UK. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license. Authors who publish this series agree to the following terms:
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References

[1]. Xiong L, Han X, Zhong X, et al. RSIS: A secure and reliable secret image sharing system based on extended Hamming codes in industrial Internet of Things[J]. IEEE Internet of Things Journal, 2021, 10(3): 1933-1945.

[2]. Isakov D A, Sokolov A V. McELIECE CRYPTOSYSTEM BASED ON QUATERNARY HAMMING CODES[J]. Informatics & Mathematical Methods in Simulation, 2022, 12(4).

[3]. Torres-Alvarado A, Morales-Rosales L A, Algredo-Badillo I, et al. An SHA-3 Hardware Architecture against Failures Based on Hamming Codes and Triple Modular Redundancy[J]. Sensors, 2022, 22(8): 2985.

[4]. He Y, Xiao C, Wang S, et al. Smart all-time vision: The battery-free video communication for urban administration and law enforcement[J]. Digital Communications and Networks, 2023.

[5]. Cintas-Canto A, Kermani M M, Azarderakhsh R. Error Detection Constructions for ITA Finite Field Inversions Over on FPGA Using CRC and Hamming Codes[J]. IEEE Transactions on Reliability, 2022.

[6]. Septien-Hernandez J A, Arellano-Vazquez M, Contreras-Cruz M A, et al. A Comparative study of post-quantum cryptosystems for Internet-of-Things applications[J]. Sensors, 2022, 22(2): 489.

[7]. Al Homssi B, Dakic K, Maselli S, et al. IoT network design using open-source LoRa coverage emulator[J]. IEEE access, 2021, 9: 53636-53646.

[8]. Nguyen C D, Nguyen P D, Nguyen A T, et al. Performance Evaluation Of Neural Network-Based Channel Detection For STT-MRAM[C]//2021 8th NAFOSTED Conference on Information and Computer Science (NICS). IEEE, 2021: 430-434.

[9]. Nguyen T A, Lee J. Improving Bit-Error-Rate Performance Using Modulation Coding Techniques for Spin-Torque Transfer Magnetic Random Access Memory[J]. IEEE Access, 2023, 11: 33005-33013.

[10]. Larue G, Dufrene L A, Lampin Q, et al. Neural Belief Propagation Auto-Encoder for Linear Block Code Design[J]. IEEE Transactions on Communications, 2022, 70(11): 7250-7264.

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