Lightweight blockchain fuzzy decision scheme through MQTT and Fibonacci for sustainable transport

Zhongxue Yang; Yiqin Bao; Yuan Liu; Qiang Zhao; Hao Zheng; Wenbin Xu; Zhongxue Yang; Yiqin Bao; Yuan Liu; Qiang Zhao; Hao Zheng; Wenbin Xu

doi:10.3934/mbe.2022556

Mathematical Biosciences and Engineering

2022, Volume 19, Issue 12: 11935-11956. doi: 10.3934/mbe.2022556

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Research article Special Issues

Lightweight blockchain fuzzy decision scheme through MQTT and Fibonacci for sustainable transport

1.
School of information engineering, Nanjing XiaoZhuang University, Nanjing 211171, China
2.
Business School, Jinling University of Science and Technology, Nanjing 211199, China
3.
Department of Information Systems Schulich School of Business, Toronto 416647, Canada
4.
Nanjing Huazhu Industrial Intelligent Equipment Co., Ltd., Nanjing 211175, China

Academic Editor: Jong Hyuk Park

Received: 24 June 2022 Revised: 01 August 2022 Accepted: 04 August 2022 Published: 17 August 2022

The unprecedented progress in field of IoT enabled rapid developments in the vehicle intelligent transportation systems and most of these provide services in a centralized way. However, the centralized system architecture is vulnerable to the external attacks as a result both information and equipment are prone to eavesdropping and destruction. Therefore, there is a trend to apply blockchain technology to the vehicle intelligent transportation systems in order to achieve sustainable transportation. Nevertheless, the system is so great and very sophisticated and the ultimate task will be harder to implement. In view of this, an attempt is made in this paper to propose a lightweight fuzzy decision blockchain scheme through MQTT and Fibonacci, and through this scheme, the extent of blockchain server can be scaled and easy to deploy. Also through MQTT, reliable communication and transmission of blockchain can be realized. LF-BC is formed by using DH and Fibonacci transformation to enhance security, and F-PBFT consensus algorithm can reduce the communication overhead and improve the fault tolerance tremendously. Using LF-BC scheme, the experimental results show that the fault tolerance rate is significantly improved by 22.3%, and the sustainable safety and reliability of the vehicle intelligent transportation system is increased consumedly. At the same time, the feasibility of the scheme is also verified by taking specific cases.
- blockchain,
- MQTT,
- PBFT,
- LF-BC,
- DH,
- Fibonacci,
- sensor networks
Citation: Zhongxue Yang, Yiqin Bao, Yuan Liu, Qiang Zhao, Hao Zheng, Wenbin Xu. Lightweight blockchain fuzzy decision scheme through MQTT and Fibonacci for sustainable transport[J]. Mathematical Biosciences and Engineering, 2022, 19(12): 11935-11956. doi: 10.3934/mbe.2022556

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Abstract

The unprecedented progress in field of IoT enabled rapid developments in the vehicle intelligent transportation systems and most of these provide services in a centralized way. However, the centralized system architecture is vulnerable to the external attacks as a result both information and equipment are prone to eavesdropping and destruction. Therefore, there is a trend to apply blockchain technology to the vehicle intelligent transportation systems in order to achieve sustainable transportation. Nevertheless, the system is so great and very sophisticated and the ultimate task will be harder to implement. In view of this, an attempt is made in this paper to propose a lightweight fuzzy decision blockchain scheme through MQTT and Fibonacci, and through this scheme, the extent of blockchain server can be scaled and easy to deploy. Also through MQTT, reliable communication and transmission of blockchain can be realized. LF-BC is formed by using DH and Fibonacci transformation to enhance security, and F-PBFT consensus algorithm can reduce the communication overhead and improve the fault tolerance tremendously. Using LF-BC scheme, the experimental results show that the fault tolerance rate is significantly improved by 22.3%, and the sustainable safety and reliability of the vehicle intelligent transportation system is increased consumedly. At the same time, the feasibility of the scheme is also verified by taking specific cases.

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