The convergence of IoT and distributed ledger technologies (DLT): Opportunities, challenges, and solutions

Farahani, Bahar; Firouzi, Farshad; Luecking, Markus

doi:10.1016/j.jnca.2020.102936

Cited by 135 publications

(85 citation statements)

References 33 publications

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“…Similar to study conducted by Rohit Dhall et al [6] for an IoT-based predictive connected car maintenance approach; the total maintenance cost reduction resulted to 30%. In addition, other benefits were achieved such as multiple return of investment, elimination of breakdown, reduction in downtime and increase in production which is comparable to previous studies [7], [10], [18]- [21].…”

Section: Other Benefitssupporting

confidence: 79%

Automation of Predictive Maintenance Using Internet of Things (IoT) Technology at University-Based O&M Project

Fernandez¹,

Prasetyo²,

Persada³

et al. 2021

IJIET

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Predictive Maintenance can be defined as a type of advanced maintenance that detects the onset of system degradation allowing causal stressors to be eliminated or controlled prior to any significant deterioration in component physical state. Thru Internet of Things (IoT) Technology, automation, and implementation of Predictive Maintenance are possible. The purpose of this study is to propose the implementation of Predictive Maintenance using IpT Technology at University-based Operation & Maintenance Project that aims to transform the current Key Performance Indicator (KPI) of PM to CM Ratio from 80:20 to 90:10. Six Sigma DMAIC Methodology and Data-Driven Predictive Maintenance Planning Framework were utilized as the methodology of this research. Research’s results show that KPI, 90:10 (PM to CM Ratio) is achievable and maintenance cost can significantly reduce from 25% to 30%. Other valuable benefits are return of investment (10X), elimination of breakdown (70 - 75%), reduction in downtime (35% - 45%) and increase of production (20% - 25%). The proposed concept can be utilized in other industries to achieve high customer satisfaction percentages, sustainable operations, fault prediction, and online monitoring using PC or mobile applications.

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Section: Other Benefitssupporting

confidence: 79%

Automation of Predictive Maintenance Using Internet of Things (IoT) Technology at University-Based O&M Project

Fernandez¹,

Prasetyo²,

Persada³

et al. 2021

IJIET

View full text Add to dashboard Cite

show abstract

“…It also mitigates risk by using multiple nodes to transmit peer-topeer data, making it almost impossible for data to be tampered. Blockchains consensus mechanism is also able to prevent a compromised node from contributing data to the chain, which safeguards data integrity [43], [44].…”

Section: The Role Of Blockchain In Managing Covid-19mentioning

confidence: 99%

Harnessing the Power of Smart and Connected Health to Tackle COVID-19: IoT, AI, Robotics, and Blockchain for a Better World

Firouzi

Farahani

Daneshmand

et al. 2021

IEEE Internet Things J.

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As COVID-19 hounds the world, the common cause of finding a swift solution to manage the pandemic has brought together researchers, institutions, governments, and society at large. The Internet of Things (IoT), Artificial Intelligence (AI) -including Machine Learning (ML) and Big Data analyticsas well as Robotics and Blockchain, are the four decisive areas of technological innovation that have been ingenuity harnessed to fight this pandemic and future ones. While these highly interrelated smart and connected health technologies cannot resolve the pandemic overnight and may not be the only answer to the crisis, they can provide greater insight into the disease and support frontline efforts to prevent and control the pandemic. This paper provides a blend of discussions on the contribution of these digital technologies, propose several complementary and multidisciplinary techniques to combat COVID-19, offer opportunities for more holistic studies, and accelerate knowledge acquisition and scientific discoveries in pandemic research. First, four areas where IoT can contribute are discussed, namely, i) tracking and tracing, ii) Remote Patient Monitoring (RPM) by Wearable IoT (WIoT), iii) Personal Digital Twins (PDT), and iv) real-life use case: ICT/IoT solution in Korea. Second, the role and novel applications of AI are explained, namely: i) diagnosis and prognosis, ii) risk prediction, iii) vaccine and drug development, iv) research dataset, v) early warnings and alerts, vi) social control and fake news detection, and vii) communication and chatbot. Third, the main uses of robotics and drone technology are analyzed, including i) crowd surveillance, ii) public announcements, iii) screening and diagnosis, and iv) essential supply delivery. Finally, we discuss how Distributed Ledger Technologies (DLTs), of which blockchain is a common

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“…Each device or system in the network is called a node. Unlike centralized systems, distributed ledgers do not have any central location to store information [46]. The first attempt to implement the DLT was in aircraft operations, where the first primitive DLT with a consensus mechanism was applied to deal with the cyber risks derived from some automatic errors in the system's components clocks that would have led to an exchange of incorrect information and the likely inability to schedule internal aircraft tasks, and finally the loss of functionality of the aircraft systems [12].…”

Section: Blockchain and Distributed Ledger Technologiesmentioning

confidence: 99%

“…Traceability: BDLTs provide a wide range of capabilities, including traceable and tamper-resistant records, a high level of traceability with trusted information, accessibility, and the visibility of data provenance [70,71]. All blockchain transactions are given an exact timestamp when the transactions are added to the chain [46]. Such an inherited characteristic of blockchain enhances traceability and authenticity for the transaction of products, data, and interactions [72].…”

mentioning

confidence: 99%

An ISM Modeling of Barriers for Blockchain/Distributed Ledger Technology Adoption in Supply Chains towards Cybersecurity

2021

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Over the last few years, the increasing level of cyber risks derived from the growing connectedness of Industry 4.0 has led to the emergence of blockchain technology as a major innovation in supply chain cybersecurity. The main purpose of this study is to identify and rank the significant barriers affecting the implementation of blockchain technology as a key component of cyber supply chain risk management (CSCRM). This research relied on the “interpretive structural modeling (ISM)” technique in the structure of a hierarchical model to investigate the contextual relationships of identified challenges for blockchain adoption in CSCRM; it also classifies the influential challenges based on their driving and dependence powers. The results highlight that “cryptocurrency volatility” is the challenge at the top level of the hierarchy, implying weak driving power but it is strongly dependent on the other challenges. “Poor regulatory provisions”, “technology immaturity”, “dependent on input information from external oracles”, “scalability and bandwidth issues”, and “smart contract issues” are significant challenges for the adoption of blockchain in cyber supply chain risk management and are located at the bottom level of the hierarchy with higher driving power. The implications for theory and practice of the research are also highlighted.

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The convergence of IoT and distributed ledger technologies (DLT): Opportunities, challenges, and solutions

Cited by 135 publications

References 33 publications

Automation of Predictive Maintenance Using Internet of Things (IoT) Technology at University-Based O&M Project

Automation of Predictive Maintenance Using Internet of Things (IoT) Technology at University-Based O&M Project

Harnessing the Power of Smart and Connected Health to Tackle COVID-19: IoT, AI, Robotics, and Blockchain for a Better World

An ISM Modeling of Barriers for Blockchain/Distributed Ledger Technology Adoption in Supply Chains towards Cybersecurity

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