Blockchain and the Industrial Internet of Things

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Nils Siegfried ◽  
Tobias Rosenthal ◽  
Alexander Benlian
Keyword(s):  
Internet Of Things ◽  
Industrial Internet Of Things ◽  
Content Type ◽  
Blockchain Technology ◽  
Distributed Ledger ◽  
Industrial Internet ◽  
Mapping Process ◽  
System Requirements ◽  
And Performance ◽  
Practical Implications

Purpose The purpose of this paper is to investigate the suitability of Blockchain technology for applications in the Industrial Internet of Things (IIOT). It provides a taxonomy of system requirements for such applications and maps these requirements against the Blockchain’s technological idiosyncrasies. Design/methodology/approach A requirement taxonomy is built in an iterative process based on a descriptive literature review. In total, 223 studies have been screened leading to a relevant sample of 48 publications that were analyzed in detail regarding posed system requirements. Subsequently, Blockchain’s capabilities are discussed for each requirement dimension. Findings The paper presents a taxonomy of six requirement dimensions. In the mapping process, areas of greater fit (e.g., reliability, nonrepudiation and adaptability) were identified. However, there are also several constraints (e.g., scalability, confidentiality and performance) that limit the use of Blockchain. Research limitations/implications Due to the limited amount of studies and the vibrant development of Blockchain technology, the results may benefit from practical evidence. Researchers are encouraged to validate the results in qualitative practitioner interviews. Focusing on literature-backed public Blockchain, idiosyncrasies of private implementations and specific distributed ledger technologies may be discussed in future studies. Practical implications The paper includes use cases for Blockchain in manufacturing and IIOT applications. Potential caveats for practitioners are presented. Originality/value This paper addresses the need to understand to which degree Blockchain is a suitable technology in manufacturing, especially in context of the IIOT. It contributes a requirement taxonomy which serves as the foundation for a systematic fit assessment.

Blockchain for Industrial Internet of Things (IIoT)

2021 ◽  
pp. 32-47
Author(s):  
Rinki Sharma
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
Manufacturing Process ◽  
Industrial Internet Of Things ◽  
Research Issues ◽  
Effective Implementation ◽  
Blockchain Technology ◽  
Industrial Internet ◽  
Manufacturing Applications ◽  
Decentralized Architecture

Over the years, the industrial and manufacturing applications have become highly connected and automated. The incorporation of interconnected smart sensors, actuators, instruments, and other devices helps in establishing higher reliability and efficiency in the industrial and manufacturing process. This has given rise to the industrial internet of things (IIoT). Since IIoT components are scattered all over the network, real-time authenticity of the IIoT activities becomes essential. Blockchain technology is being considered by the researchers as the decentralized architecture to securely process the IIoT transactions. However, there are challenges involved in effective implementation of blockchain in IIoT. This chapter presents the importance of blockchain in IIoT paradigm, its role in different IIoT applications, challenges involved, possible solutions to overcome the challenges and open research issues.

scholarly journals Blockchain-Enhanced Fair and Efficient Energy Trading in Industrial Internet of Things

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Jianwen Hu ◽  
Yuling Chen ◽  
Xiaojun Ren ◽  
Yixian Yang ◽  
Xiaobin Qian ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Consensus Algorithm ◽  
Experimental Simulation ◽  
Industrial Internet Of Things ◽  
Identity Verification ◽  
Energy Trading ◽  
Blockchain Technology ◽  
Transaction Process ◽  
Industrial Internet ◽  
Trading Scheme

As the technical support of the industrial Internet of Things, blockchain technology has been widely used in energy trading, data transactions, and Internet of Vehicles. However, most of the existing energy trading models only address the transaction security and transaction privacy issues that arise in the energy trading process, ignoring the fairness of resource allocation and transaction equity in the trading process. In order to tackle those problems, an energy trading scheme called HO-TRAD is proposed in this paper to improve the efficiency of model trading while ensuring the fairness of energy trading. We propose a new trading strategy in the HO-TRAD energy trading scheme that guarantees fairness in the allocation of trading resources by introducing an entity’s active reputation value. Use smart contracts to achieve transparency and ensure fairness in the transaction process. Based on the identity verification foundation of the consortium chain, the scheme enhances the existing PBFT consensus algorithm and improves the efficiency of model transactions. The experimental simulation indicates that the scheme requires less transaction time and has higher transaction fairness and security.

scholarly journals Enabling the Industrial Internet of Things to Cloud Continuum in a Real City Environment

Sensors ◽  
2021 ◽  
Vol 21 (22) ◽  
pp. 7707
Author(s):  
Fábio Henrique Cabrini ◽  
Filippo Valiante Valiante Filho ◽  
Pedro Rito ◽  
Albérico Barros Barros Filho ◽  
Susana Sargento ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Smart Cities ◽  
Industrial Internet Of Things ◽  
Global Industry ◽  
Operating Modes ◽  
City Environment ◽  
Iot Platform ◽  
Industrial Internet ◽  
Living Lab ◽  
And Performance

The Industrial Internet of Things (IIoT) is one of the most demanding IoT applications. The insertion of industries in the context of smart cities and other smart environments, allied with new communication technologies such as 5G, brings a new horizon of possibilities and new requirements. These requirements include low latency, the support of a massive quantity of devices and data, and the need to support horizontal communications between devices at the edge level. To make this feasible, it is necessary to establish an IIoT-to-cloud continuum distributing federated brokers across the infrastructure and providing scalability and interoperability. To attend this type of application, we present the Helix Multi-layered IoT platform and its operating modes. We report and discuss its real-world deployment in the Aveiro Tech City Living Lab in Aveiro, Portugal with functional and performance tests. We tested device-to-device communication across edge and core layers and also interconnected the infrastructure with one in São Paulo, Brazil, replicating the use of a global industry. The successful deployment validates the use of a Helix Multi-layered IoT platform as a suitable backend platform for IIoT applications capable of establishing the IIoT-to-cloud continuum. It also helps for the deployment of other applications in such a domain.

scholarly journals BLOCKCHAIN TECHNOLOGY AND INDUSTRIAL INTERNET OF THINGS IN THE SUPPLY CHAINS

MEST Journal ◽  
2018 ◽  
Vol 6 (2) ◽  
pp. 39-47 ◽  
Author(s):  
Zoran Cekerevac ◽  
◽  
Lyudmila Prigoda ◽  
Jelena Maletic
Keyword(s):  
Internet Of Things ◽  
Supply Chains ◽  
Industrial Internet Of Things ◽  
Blockchain Technology ◽  
Industrial Internet

Assessing the implementation feasibility of intelligent production systems based on cloud computing, industrial internet of things and business social networks

Kybernetes ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jiabao Sun ◽  
Ting Yang ◽  
Zhiying Xu
Keyword(s):  
Social Networks ◽  
Cloud Computing ◽  
Internet Of Things ◽  
Resource Sharing ◽  
Manufacturing Systems ◽  
Production Systems ◽  
Industrial Internet Of Things ◽  
Content Type ◽  
Industrial Internet ◽  
The Impact

PurposeThe increasing demands for customized services and frequent market variations have posed challenges to managing and controlling the manufacturing processes. Despite the developments in literature in this area, less consideration has been devoted to the growth of business social networks, cloud computing, industrial Internet of things and intelligent production systems. This study recognizes the primary factors and their implications for intelligent production systems' success. In summary, the role of cloud computing, business social network and the industrial Internet of things on intelligent production systems success has been tested.Design/methodology/approachIntelligent production systems are manufacturing systems capable of integrating the abilities of humans, machines and processes to lead the desired manufacturing goals. Therefore, identifying the factors affecting the success of the implementation of these systems is necessary and vital. On the other hand, cloud computing and the industrial Internet of things have been highly investigated and employed in several domains lately. Therefore, the impact of these two factors on the success of implementing intelligent production systems is examined. The study is descriptive, original and survey-based, depending on the nature of the application, its target and the data collection method. Also, the introduced model and the information collected were analyzed using SMART PLS. Validity has been investigated through AVE and divergent validity. The reliability of the study has been checked out through Cronbach alpha and composite reliability obtained at the standard level for the variables. In addition, the hypotheses were measured by the path coefficients and R2, T-Value and GOF.FindingsThe study identified three variables and 19 sub-indicators from the literature associated that impact improved smart production systems. The results showed that the proposed model could describe 69.5% of the intelligence production systems' success variance. The results indicated that business social networks, cloud computing and the industrial Internet of things affect intelligent production systems. They can provide a novel procedure for intelligent comprehensions and connections, on-demand utilization and effective resource sharing.Research limitations/implicationsStudy limitations are as below. First, this study ignores the interrelationships among the success of cloud computing, business social networks, Internet of things and smart production systems. Future studies can consider it. Second, we only focused on three variables. Future investigations may focus on other variables subjected to the contexts. Ultimately, there are fewer experimental investigations on the impact of underlying business social networks, cloud computing and the Internet of things on intelligent production systems' success.Originality/valueThe research and analysis outcomes are considered from various perspectives on the capacity of the new elements of Industry 4.0 for the manufacturing sector. It proposes a model for the integration of these elements. Also, original and appropriate guidelines are given for intelligent production systems investigators and professionals' designers in industry domains.

Reconceptualizing value innovation for Industry 4.0 and the Industrial Internet of Things

2019 ◽  
Vol 34 (6) ◽  
pp. 1203-1209 ◽  
Author(s):  
Paul Matthyssens
Keyword(s):  
Internet Of Things ◽  
Industry 4.0 ◽  
Business Models ◽  
Industrial Internet Of Things ◽  
Value Innovation ◽  
Content Type ◽  
Innovation Research ◽  
Industrial Internet ◽  
Challenges And Opportunities ◽  
New Research

Purpose Starting from the foundations of value innovation, this paper aims to give an idea of the key drivers and barriers – internal and external to the company – and to provide insight into proven capabilities underscoring the ability to create a flow of new value initiatives. These thoughts are then confronted with the present challenges of Industry 4.0 and the Industrial Internet of Things (IIoT). The confrontation leads to the identification of five capabilities for future-proof value innovation. Design/methodology/approach Literature review based upon the work of the author with more than two decades of experience within value innovation research is included. The review is supplemented with recent literature and an overview of the challenges of Industry 4.0/IIoT, which leads into a confrontation of the present status of value innovation with future requirements. Findings Value innovation remains important specifically for established companies facing path-breaking digital disruption of their existing business models provoked by Industry 4.0 and IIoT. Five key capabilities are suggested to rejuvenate value innovation and prepare it for the Industry 4.0 challenge: capabilities for designing, adapting and marketing product service systems; capabilities for blending digital strategy and processes with value offerings; capabilities for designing and mobilizing ecosystems and integrating these into a value-based IIoT platform; capabilities for combining and integrating technological and value innovation approaches; and capabilities for linking value creation to value capturing. Research limitations/implications This paper is more of a “viewpoint” than an empirically based paper presenting new research findings. It is based on expert judgment and confrontation with extant literature. The outlook indicating five key capabilities needs further empirical corroboration. Practical implications The overview of barriers and the “toolkit” for value innovation (Figure 1) and the five capabilities for future value innovation are expected to be managerially relevant. Originality/value The paper highlights the concept of value innovation, as discussed over the past decades, and links it to recent challenges and opportunities imposed by Industry 4.0 and the IIoT. The concept of value or strategic innovation is still valid but needs a re-conceptualization in view of these developments. The paper provides five capabilities business marketers should develop to perform value innovation in an Industry 4.0 environment.

Crypto-friendliness: understanding blockchain public policy

2019 ◽  
Vol 9 (2) ◽  
pp. 165-184 ◽  
Author(s):  
Mikayla Novak
Keyword(s):  
Case Studies ◽  
Global Economy ◽  
Design Methodology ◽  
Related Activity ◽  
Policy Entrepreneurship ◽  
Content Type ◽  
Blockchain Technology ◽  
Distributed Ledger ◽  
Distributed Ledger Technology ◽  
Practical Implications

Purpose The purpose of this paper is to conceptualise the chief aspects of policy interest in blockchain technology. Design/methodology/approach The paper outlines policymaking processes in the context of innovation and technological change, assesses generic variations in policy treatment towards blockchain, and identifies manifestations of policy entrepreneurship using national case studies of blockchain policies. Findings Favourable policy dispositions towards blockchain technology are interpreted as political efforts to develop local, blockchain-enabled economies. So-called “crypto-friendly” jurisdictions proactively clarify regulatory and tax treatments of cryptocurrency and other blockchain applications, and trial blockchain uses in fields predominated by public sector activity. Policymakers in countries hostile towards blockchain-related activity have instigated bans or strict limitations with respect to blockchain engagement by developers and users. Research limitations/implications Reliance upon case studies suggests the need for alternative study approaches (e.g. index construction, empirical research) as blockchain use consolidates throughout the global economy. Practical implications This paper provides insight to policymakers and blockchain practitioners regarding the attributes of accommodative policies towards distributed ledger technology. Social implications Countries and sub-national regions exhibiting a more welcoming policy stance are more likely to attract entrepreneurs and investors in the crypto-economic blockchain space. Originality/value This paper develops a policy “crypto-friendliness” construct to assess the extent to which policymakers enact accommodative policies for blockchain development.

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