Blockchain-Enabled Internet of Vehicles With Cooperative Positioning: A Deep Neural Network Approach

Song, Yanxing; Fu, Yuchuan; Yu, F. Richard; Zhou, Li

doi:10.1109/jiot.2020.2972337

Cited by 67 publications

(30 citation statements)

References 39 publications

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“…With the rapid development of intelligent robots, all walks of life are inseparable from intelligent robots, especially in some complex working environments and tasks that humans cannot complete, such as logistics handling, seabed exploration, and other high-risk tasks. In the previous robot systems, a relatively perfect control algorithm has been developed for the control of a single robot [8]. At the same time, machine vision and embedded technology are becoming more mature, and a single robot system has become more intelligent.…”

Section: Introductionmentioning

confidence: 99%

[Retracted] Optimization of Multi‐Intelligent Robot Control System Based on Wireless Communication Network

2021

Wireless Communications and Mobile Computing

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The robot is a very complex multi-input multioutput nonlinear system. It has time-varying, strong coupling, and nonlinear dynamic characteristics, and its control is very complicated. Due to the inaccuracy of measurement and modeling, coupled with changes in the load and the influence of external disturbances, it is actually impossible to obtain an accurate and complete dynamic model of the robot. We must face the existence of various uncertain factors of the robot. This paper analyzes the real-time communication protocol in the wireless network control system and confirms that the main way to improve the real-time performance of the wireless network control system is to implement the real-time media access control (MAC) protocol. This paper studies robots from the perspective of control and mainly discusses how to use artificial immune algorithms to design robust nonlinear proportion integral derivative (PID) controllers. A nonlinear PID controller is used to replace the classic PID controller. The nonlinear link can be adjusted with the change of the error, so as to achieve the purpose of improving the adaptability and robustness to obtain satisfactory tracking performance. We carried out selective compliance assembly robot arm (SCARA) robot remote control experiment, dual robot following experiment, SCARA and ABB robot collisionless motion planning experiment, and multirobot intelligent collaborative assembly experiment. The experimental results show that the C/S mode remote control system has good practicability and can complete remote tasks; the P2P communication system has good information transmission effects and can realize real-time information sharing between robots; the collision-free motion planning algorithm enables the dual robots to complete obstacle avoidance tasks well in complex operating environments; the functional modules of the system can closely cooperate to complete the tasks in coordination, and the multirobot system has a certain degree of intelligence.

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Section: Introductionmentioning

confidence: 99%

[Retracted] Optimization of Multi‐Intelligent Robot Control System Based on Wireless Communication Network

2021

Wireless Communications and Mobile Computing

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“…Smart contracts have expanded the functionality of blockchain beyond simple distributed ledger mechanisms. They can facilitate energy sharing between electric vehicles when blockchain is used for smart grid applications [14], [15], optimizing demand and supply for data trading (or computing resource sharing) for IoV applications [16]- [19], and task scheduling [20]. They can also be used for security purposes, when only a certain number of nodes need to be given the authorization to transact [16], [21].…”

Section: B Motivationmentioning

confidence: 99%

“…They can facilitate energy sharing between electric vehicles when blockchain is used for smart grid applications [14], [15], optimizing demand and supply for data trading (or computing resource sharing) for IoV applications [16]- [19], and task scheduling [20]. They can also be used for security purposes, when only a certain number of nodes need to be given the authorization to transact [16], [21]. Authentication plays an important role in a vehicular network, due to the underlying dynamic topology with vehicles joining and leaving frequently.…”

Section: B Motivationmentioning

confidence: 99%

A Comprehensive Survey on the Applications of Blockchain for Securing Vehicular Networks

Alladi¹,

Chamola²,

Sahu³

et al. 2022

Preprint

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Vehicular networks promise features such as traffic management, route scheduling, data exchange, entertainment, and much more. With any large-scale technological integration comes the challenge of providing security. Blockchain technology has been a popular choice of many studies for making the vehicular network more secure. Its characteristics meet some of the essential security requirements such as decentralization, transparency, tamper-proof nature, and public audit. This study catalogues some of the notable efforts in this direction over the last few years. We analyze around 75 blockchain-based security schemes for vehicular networks from an application, security, and blockchain perspective. The application perspective focuses on various applications which use secure blockchainbased vehicular networks such as transportation, parking, data sharing/ trading, and resource sharing. The security perspective focuses on security requirements and attacks. The blockchain perspective focuses on blockchain platforms, blockchain types, and consensus mechanisms used in blockchain implementation. We also compile the popular simulation tools used for simulating blockchain and for simulating vehicular networks. Additionally, to give the readers a broader perspective of the research area, we discuss the role of various state-of-the-art emerging technologies in blockchain-based vehicular networks. Lastly, we summarize the survey by listing out some common challenges and the future research directions in this field.

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“…Since everyone participates, but only one node can be selected, many resources and time costs will be wasted. (2) For the proof-of-stake (PoS) mechanism, the longer you hold the digital currency and the more assets you hold, the more likely this mechanism is to obtain the right to bookkeeping and rewards, which saves time but easily causes the Matthew effect. (3) e delegated proof-of-stake mechanism (DPoS) selects representative nodes for proxy verification and accounting, which is simpler and more efficient, but it also sacrifices some decentralization to a certain extent.…”

Section: Consensus Mechanismmentioning

confidence: 99%

“…As the cutting-edge technologies nowadays, blockchain and artificial intelligence have attracted increasing attention due to the irreplaceable role that they play in technological innovation and industrial transformation [1][2][3]. e concept of artificial intelligence technology originated from the Dartmouth Society in 1956.…”

Section: Introductionmentioning

confidence: 99%

Recent Advances in Blockchain and Artificial Intelligence Integration: Feasibility Analysis, Research Issues, Applications, Challenges, and Future Work

Zhang¹,

Song

Liu

et al. 2021

Security and Communication Networks

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Blockchain constructs a distributed point-to-point system, which is a secure and verifiable mechanism for decentralized transaction validation and is widely used in financial economy, Internet of Things, large data, cloud computing, and edge computing. On the other hand, artificial intelligence technology is gradually promoting the intelligent development of various industries. As two promising technologies today, there is a natural advantage in the convergence between blockchain and artificial intelligence technologies. Blockchain makes artificial intelligence more autonomous and credible, and artificial intelligence can prompt blockchain toward intelligence. In this paper, we analyze the combination of blockchain and artificial intelligence from a more comprehensive and three-dimensional point of view. We first introduce the background of artificial intelligence and the concept, characteristics, and key technologies of blockchain and subsequently analyze the feasibility of combining blockchain with artificial intelligence. Next, we summarize the research work on the convergence of blockchain and artificial intelligence in home and overseas within this category. After that, we list some related application scenarios about the convergence of both technologies and also point out existing problems and challenges. Finally, we discuss the future work.

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Blockchain-Enabled Internet of Vehicles With Cooperative Positioning: A Deep Neural Network Approach

Cited by 67 publications

References 39 publications

[Retracted] Optimization of Multi‐Intelligent Robot Control System Based on Wireless Communication Network

[Retracted] Optimization of Multi‐Intelligent Robot Control System Based on Wireless Communication Network

A Comprehensive Survey on the Applications of Blockchain for Securing Vehicular Networks

Recent Advances in Blockchain and Artificial Intelligence Integration: Feasibility Analysis, Research Issues, Applications, Challenges, and Future Work

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