Organizational Management using Software-defined Robots based on Smart Contracts

Ni, Xiaochun; Zeng, Shuai; Han, Xuan; Yuan, Yong; Wang, Fei‐Yue

doi:10.1109/ivs.2018.8500708

Cited by 4 publications

(3 citation statements)

References 15 publications

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“…This context covers organizational and managerial viewpoints. The success of blockchain-based ITS initiative is affected by way of performing organizational management processes of planning, organizing, directing, staffing, and controlling [46]. The CSFs defined under this context are financial feasibility, financial support, user adoption, IT skilled people, as given in Table 2.…”

Section: -2-management Contextmentioning

confidence: 99%

Exploring Critical Success Factors for Blockchain-based Intelligent Transportation Systems

Çaldağ

Gökalp

2020

Emerg Sci J

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Utilization of Intelligent Transportation Systems (ITS) provides increasing demands on decreasing traffic congestions, transportation safety, and environmental problems as well as increasing transportation capacity. Over the past few years, one of the most disruptive and transformational technologies, blockchain technology, has emerged. As a result of offering more security, privacy, traceability, transparency, and decentralized authority, the utilization of blockchain technology in ITS have increased drastically. Despite this increase, there is a lack of a good understanding of what are the Critical Success Factors (CSF) to support IT providers for designing their products properly, and to provide industry leaders to focus on the main drivers of their outstanding projects. This study aims to explore and analyze CSFs that can facilitate the success of blockchain-based ITS, which has so far been neglected despite its remarkable relevance. In doing so, eleven primary studies, identified as a result of conducting a systematic literature review (SLR), were taken as a baseline to develop the model of CSFs. Additionally, since the number of existing studies related to CSFs for blockchain and ITS are limited, an expert panel was formed to evaluate and contribute to the model. The developed model of CSF for blockchain-based ITS, having a comprehensive approach, consists of 29 CSFs defined under five main contexts, namely technical, management, governance, quality of service, and quality of life. Doi: 10.28991/esj-2020-SP1-03 Full Text: PDF

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Section: -2-management Contextmentioning

confidence: 99%

Exploring Critical Success Factors for Blockchain-based Intelligent Transportation Systems

Çaldağ

Gökalp

2020

Emerg Sci J

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“…However, whether it is the PoW algorithm, PoS algorithm, or BFT algorithm, the design of the blockchain consensus algorithm needs to face a complex environment, and there are many difficulties and problems to be solved. How to adaptively design a consensus mechanism for a specific performance evaluation target in combination with specific requirements and application scenarios to achieve the purpose of optimizing the algorithm [20,21] is an urgent problem to be solved. Therefore, we solve the problems of the PBFT algorithm, such as high communication complexity, arbitrary selection of primary nodes, and poor node scalability, and improve the applicability of the blockchain in large-scale scenarios.…”

Section: Introductionmentioning

confidence: 99%

Improved PBFT Algorithm Based on Comprehensive Evaluation Model

Jiang

Wu²,

Song³

et al. 2023

Applied Sciences

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Blockchain technology is well known due to the advent of Bitcoin. With the development of recent years, blockchain technology has been widely used in medicine, digital currency, energy, etc. The practical Byzantine fault-tolerant (PBFT) algorithm is a consensus algorithm widely used in consortium blockchains. Aiming to address the problems of the PBFT algorithm, low consensus efficiency due to high communication complexity, and malicious behavior of the primary node leading to consensus failure, an improved PBFT algorithm based on a comprehensive evaluation model (TB-PBFT) is proposed. First, nodes are divided into several groups based on the multi-formation control strategy of an unmanned aerial vehicle (UAV) cluster, which significantly reduces the communication complexity. Second, a comprehensive evaluation model combining the entropy method, TOPSIS method, and Borda count is proposed, which uses the behavior of nodes as an evaluation index, and the comprehensive score of nodes is obtained according to the preferences of other nodes. Finally, the highest ranking node is selected as the primary node through the comprehensive evaluation model to ensure the security and stability of the blockchain network. We analyze TB-PBFT algorithms and compare them with other Byzantine fault tolerance algorithms. Theoretical analysis and simulation results show that the TB-PBFT algorithm can improve node scalability and fault tolerance and reduce communication complexity and view switching probability. We also prove that the comprehensive evaluation model can improve the consensus success rate of the algorithm, and the feasibility and effectiveness of the improved consensus algorithm are verified. Hence, it can be applied to the consortium blockchain system effectively and efficiently.

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“…At present, the evaluation indicators of consensus algorithms are different, and different scenarios have different focuses, including fairness and decentralization degree from the perspective of sociology, consensus energy consumption and economic cost from the perspective of economics, and scalability, fault tolerance, and security from the perspective of computer science [13]. How to adaptively design a consensus mechanism for a specific performance evaluation target in combination with specific requirements and application scenarios to optimizethe algorithm [14][15] is an urgent problem to be solved. With the gradual expansion of the scale of the application scenario of the permission chain, the scalability problem of the PBFT algorithm has become increasingly prominent.…”

Section: Introductionmentioning

confidence: 99%

A Scalable Byzantine Fault Tolerance Algorithm Based on a Tree Topology Network

Jiang

Song

et al. 2023

IEEE Access

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The consortium chain is the main form of application of blockchain technology in the actual industry, and its consensus mechanism mostly adopts the practical Byzantine fault tolerance (PBFT) algorithm. The traditional PBFT algorithm is only suitable for small-scale local area networks, but in largescale wide-area network environments, its scalability bottleneck has a serious impact on the performance of the system. Therefore, in this paper, a scalable Byzantine fault tolerance algorithm based on a tree topology network is proposed (STBFT), which can take different steps to reach consensus according to the abnormal situation of the system. First, the STBFT algorithm divides the consensus nodes into different layers and groups based on the tree topology network structure, which transforms from global consensus to local consensus and drastically reduces communication consumption. Then, the division method of the group is based on a verifiable random function (VRF), with the purpose of preventing targeted attacks and colluding Byzantine nodes from affecting the normal consensus of the system. Finally, a feedback mechanism is proposed for the first time to reduce the influence of Byzantine failure on hierarchical network systems. The simulation results show that the proposed algorithm reduces the communication complexity and improves the fault tolerance of the system, and the scalability of the tree topology network structure can be better applied in large-scale scenarios such as IoT and health care.

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Organizational Management using Software-defined Robots based on Smart Contracts

Cited by 4 publications

References 15 publications

Exploring Critical Success Factors for Blockchain-based Intelligent Transportation Systems

Exploring Critical Success Factors for Blockchain-based Intelligent Transportation Systems

Improved PBFT Algorithm Based on Comprehensive Evaluation Model

A Scalable Byzantine Fault Tolerance Algorithm Based on a Tree Topology Network

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