Industrial Internet of Things (IIoT): Principles, Processes and Protocols

Madakam, Somayya; Uchiya, Takahiro

doi:10.1007/978-3-030-24892-5_2

Cited by 27 publications

(13 citation statements)

References 18 publications

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“…It is predicted that the IoT will have a financially beneficial and significant impact upon the sector by: ensuring high speed of reporting to reduce the costs of communication (Ramasundara et al, 2018); and providing better process control and optimisation (Madakam and Uchiya, 2019). The huge amount of big data collected will improve monitoring and analysis even at the micro-level to provide better accountability and transparency as well as highlight the key performance indicators (KPIs) and their adequate monitoring.…”

Section: Future Applicationsmentioning

confidence: 99%

Patterns and trends in Internet of Things (IoT) research: future applications in the construction industry

Ghosh

Edwards

Hosseini

2020

ECAM

150

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PurposeThe Internet of Things (IoT) provides exciting opportunities for the construction industry to solve its time and resource constraints and frequent defaults. This study seeks to identify and rank the perceived importance level of principal research areas associated with the IoT and the construction industry by utilising a scientific mapping tool (i.e. VOSviewer). Such knowledge would enable key drivers for successful adoption of the IoT and digitisation technologies to be outlined. An analysis of key drivers and research trends that facilitates the development of a roadmap for applying the IoT and digital technologies in the construction sector is therefore much needed.Design/methodology/approachAn interpretivist philosophical lens was adopted to analyse published work as secondary data, where each publication represented a unit of analysis. A total of 417 peer-reviewed journal review articles covering the IoT within the construction domain were systematically reviewed using a mixed-methods approach, utilising qualitative-scientometric analyses techniques.FindingsThe results revealed a field of study in a fledgling stage, with a limited number of experts operating somewhat in isolation and offering single-point solutions instead of taking an integrated “holistic” approach. Key publication outlets were identified and the main focus of research undertaken being in the technical areas of smart buildings, smart construction objects and environmental sustainability. The major effects of adopting the IoT within the construction industry were identified as high-speed reporting, complete process control, data explosion leading to deep data analytics, strict ethical and legal expectations. Key drivers of the IoT adoption were outlined: interoperability; data privacy and security; flexible governance structures; proper business planning and models.Practical implicationsThe study benefits researchers and industry practitioners alike. For researchers, the identified gaps reveal areas of high priority in future research. For construction companies, particularly small to medium-sized businesses, the study raises awareness of the latest developments and potential applicability of the IoT in the industry. For government agencies and policymakers, this study offers a point of reference in directing the adoption of the IoT smoothly in the construction sector and provides guidelines and standards for maximising the potential benefits.Originality/valueThe study is the first scientometric review of the existing body of knowledge in the context of application of the IoT in the construction industry. Findings expose knowledge gaps in contemporary research, specifically, a broader consideration of organisational adjustments needed to accommodate the IoT usage, economic analyses and impediments to wider acceptance.

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Section: Future Applicationsmentioning

confidence: 99%

Patterns and trends in Internet of Things (IoT) research: future applications in the construction industry

Ghosh

Edwards

Hosseini

2020

ECAM

150

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“…is included Tsuchiya Gousei, Toyota, Hitachi, and the Zenitaka Corporation [44]. Connectivity is a one-word definition of Industry 4.0 revolution.…”

Section: Existing Approaches Of Iot and Big Data In Different Research Areasmentioning

confidence: 99%

Big Data and Its V’s with IoT to Develop Sustainability

Chu

Nazir

Wang

et al. 2021

Scientific Programming

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Internet of Things (IoT) has been considered as one of the emerging network and information technologies that can comprehend automatic monitoring, identification, and management through a network of smart IoT devices. The effective use of IoT in different areas has improved efficiency and reduced errors. The rapid growth of smart devices such as actuators, sensors, and wearable devices has made the IoT enable for smart and sustainable developments in the area. Physical objects are interlinked with these smart devices for the progression to analyse, process, and manage the surroundings data. Such data can then be further utilised for smarter decisions and postanalysis for different purposes. However, with the limited IoT resources, the management of data is difficult due to the restrictions of transmission power place and energy consumption, and the processing can put pressure on these smart devices. The network of IoT is connected with big data through Internet for manipulating and storing huge bulk of data on cloud storage. The secure framework based on big data through IoT is the awful need of modern society which can be energy efficient in a sustainable environment. Due to the intrinsic characteristics of sensors nodes in the IoT, like data redundancy, constrained energy, computing capabilities, and limited communication range, the issues of data loss are becoming among the main issues which mostly depend on the completeness of data. Various approaches are in practice for the recovery problem of data, such as spatiotemporal correlation and interpolation. These are used for data correlation and characteristics of sensory data. Extracting correlation data became difficult specifically as the coupling degree between diverse perceptual attributes is low. The current study has presented a comprehensive overview on big data and its V’s with Internet of Things to describe the research into the area with in-depth review of existing literature.

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“…It reduces employee intervention in hazardous industrial circles. e IIoT phenomenon is built on the IoT (Internet of ings) technologies, which presently guarantee effective working performance in many domains, both in the sector and business and commercial sectors [15]. Enhanced sensing, data collecting, and communication technologies lead to an enormous expansion of the IIoT in recent years, which intensifies the transformation in the monitoring and management of electronic asset values.…”

Section: Literature Reviewmentioning

confidence: 99%

Selection of Devices Based on Multicriteria for Mobile Data in Internet of Things Environment

Yang

Ali

Nazir

2021

Mobile Information Systems

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Internet of Things (IoT) is a computing term which describes universal Internet connectivity, transforming everyday objects into connected devices. Many smart devices are interconnected to sense their surroundings, send, and process the sensed data. The IoT connects the real world with the global world by interconnecting edge devices. The main goal of the IoT is to attain high operating performance, improve throughput, and control the assets and processes of the industry. Many heterogeneous devices in IoT settings are linked with each other to transfer huge amount of information for operations of organizational efficiency. The appropriate and proper device may hinder the main goals of the IoT which seems difficult to achieve. However, not a single research study is focused on the selection of devices based on multicriteria properties. For solving the dilemma of the IoT device selection, “Properties Based Device Selection Using Ant Colony Optimization (PBDS-ACO)” is implemented in this paper which selects a device based on multicriteria properties. By exploiting the suggested model, the effectiveness and efficiency of the IoT are shown.

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Industrial Internet of Things (IIoT): Principles, Processes and Protocols

Cited by 27 publications

References 18 publications

Patterns and trends in Internet of Things (IoT) research: future applications in the construction industry

Patterns and trends in Internet of Things (IoT) research: future applications in the construction industry

Big Data and Its V’s with IoT to Develop Sustainability

Selection of Devices Based on Multicriteria for Mobile Data in Internet of Things Environment

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