Application of Blockchain in Collaborative Internet-of-Things Services

Xu, Li Da; Viriyasitavat, Wattana

doi:10.1109/tcss.2019.2913165

Cited by 118 publications

(45 citation statements)

References 17 publications

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“…For enterprises, communication technology can facilitate collecting market statistics and making timely decisions by directors or managers, reduce the cost and increase the revenue of businesses. At the same time, the development of ICT improves the efficiency of information sharing and promotes the effective use of resources (Xu 2016;Xu and Viriyasitavat 2019). More importantly, the innovation in ICT promotes the global communication and exchange.…”

Section: A Case Study Based On Scientific Literature and Patentsmentioning

confidence: 99%

Research on Disruptive Technology Recognition of China's Electronic Information and Communication Industry Based on Patent Influence

Jia

Xie

Zhao

et al. 2021

Journal of Global Information Management

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This paper adopts the knowledge map method and selects the field of mobile communication technology and wireless communication technology to represent the electronic information and communication industry for disruptive technology recognition. Through the analysis of keyword co-occurrence network and keyword frequency changes in the relevant literature of CNKI from January 2000 to April 2018 by CiteSpace software, this paper constructs a disruptive technology identification framework for China's electronic information and communications industry from the perspective of technological frontier and technological breakthrough. Using DeWinter Patent Database as the patent data source, this paper further verifies 5G technology and internet of things (IoT) technology from the perspective of patent impact. Finally, the roadmap of disruptive technology development in China's electronic information and communication industry is proposed to provide reference for the follow-up research of China's electronic information and communication industry's disruptive technology.

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Section: A Case Study Based On Scientific Literature and Patentsmentioning

confidence: 99%

Research on Disruptive Technology Recognition of China's Electronic Information and Communication Industry Based on Patent Influence

Jia

Xie

Zhao

et al. 2021

Journal of Global Information Management

View full text Add to dashboard Cite

show abstract

“…With the continuous development of blockchain technology, consensus algorithm has experienced emerging demands from the earliest Proof-of-Work (PoW) [ 17 , 18 ] to later Proof of Stake (PoS) [ 19 ] and Delegated Proof of Stake (DPoS) [ 20 ]. Meanwhile, the consensus algorithm has undergone the evolution from Practical Byzantine Fault Tolerance (PBFT) [ 21 ] to some other improved consensus algorithms, such as Proof-of-Burn (PoB) [ 21 ], Proof-of-Luck (PoL) [ 22 ] and Stellar Consistency Protocol (SCP) [ 23 ]. However, there is still no perfect consensus algorithm that can effectively solve the relationship between the increase of node number and the rapid increase of time–space complexity.…”

Section: Literature Reviewmentioning

confidence: 99%

A Hybrid Blockchain Model for Trusted Data of Supply Chain Finance

Liu

Yan

Dong

2021

Wireless Pers Commun

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Supply chain finance is an effective way to solve the problem of capital turnover of construction enterprises and stabilize economic growth under epidemic situation. Blockchain technology can solve the problems in the current supply chain finance business, such as incorrect information between banks and enterprises, lack of visibility in transaction process, and possible joint fraud in the core enterprise model. However, it still has problems such as inconvenient information verification, data fraud, and difficulty to achieve a balance between efficiency, security and cost. This paper presents a hybrid chain model combining PANDA (a consensus algorithm based on public chain) and X-Alliance (a consensus algorithm based on alliance chain). Such proposed hybrid chain model can process the transaction of each account in parallel, asynchronize from other unrelated accounts in the network, provide more reliable data storage and authority management, and ensure the ownership of change tracking data, which has higher performance and lower protection cost while ensuring data security and privacy security. According to the data of network crawling, the experimental results show that the throughput can reach 1200tps when four nodes are deployed. The model serves for the supply chain financial data management of engineering projects, making trade authenticity review, risk assessment and credit transmission of core enterprises more efficient. On this basis, each participant can carry out analysis and give early warning of capital flow, timely analyze and calculate the authenticity of transaction background. The proposed method provides a reference for the normal operation of the project fund under the COVID-19 epidemic.

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“…In addition, new data and improved data quality can also potentially have new data analytical applications for new business gains. For example, Xu and Viriyasitavat ( 2019 ) applied blockchain with smart contract to establish the trust of process executions among IoT devices without intermediaries. Xu et al ( 2021 ) conducted a survey study on how blockchain is used to improve IoT security in different layers, including sensor layers, network layers, and application layers, with different types of attacks, including DoS, equipment injection, falsifying, public block modifying, and time interval destruction.…”

Section: Current Interdisciplinary Research Between Data Analytics and Industry 40mentioning

confidence: 99%

Data Analytics in Industry 4.0: A Survey

Duan

2021

Inf Syst Front

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Industry 4.0 is the fourth industrial revolution for decentralized production through shared facilities to achieve on-demand manufacturing and resource efficiency. It evolves from Industry 3.0 which focuses on routine operation. Data analytics is the set of techniques focus on gain actionable insight to make smart decisions from a massive amount of data. As the performance of routine operation can be improved by smart decisions and smart decisions need the support from routine operation to collect relevant data, there is an increasing amount of research effort in the merge between Industry 4.0 and data analytics. To better understand current research efforts, hot topics, and tending topics on this critical intersection, the basic concepts in Industry 4.0 and data analytics are introduced first. Then the merge between them is decomposed into three components: industry sectors, cyber-physical systems, and analytic methods. Joint research efforts on different intersections with different components are studied and discussed. Finally, a systematic literature review on the interaction between Industry 4.0 and data analytics is conducted to understand the existing research focus and trend.

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Application of Blockchain in Collaborative Internet-of-Things Services

Cited by 118 publications

References 17 publications

Research on Disruptive Technology Recognition of China's Electronic Information and Communication Industry Based on Patent Influence

Research on Disruptive Technology Recognition of China's Electronic Information and Communication Industry Based on Patent Influence

A Hybrid Blockchain Model for Trusted Data of Supply Chain Finance

Data Analytics in Industry 4.0: A Survey

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