scholarly journals Smart Manufacturing and Tactile Internet Based on 5G in Industry 4.0: Challenges, Applications and New Trends

Electronics ◽  
2021 ◽  
Vol 10 (24) ◽  
pp. 3175
Author(s):  
Dimitris Mourtzis ◽  
John Angelopoulos ◽  
Nikos Panopoulos
Keyword(s):  
Industry 4.0 ◽  
Communication Systems ◽  
Smart Manufacturing ◽  
The Internet ◽  
Low Latency ◽  
5G Networks ◽  
Human Machine Interaction ◽  
Time Interaction ◽  
Key Enabling Technologies

For many applications deployed in manufacturing networks, communication latency has been a significant barrier. Despite the constant development of improved communication protocols and standards during Industry 4.0, the latency problem persists, lowering quality of services (QoS) and quality of experience (QoE). Tactile internet (TI), with its high availability, security, and ultra-low latency, will add a new dimension to human-machine interaction (HMI) by enabling haptic and tactile sensations. The tactile internet (TI) is a cutting-edge technology that uses 5G and beyond (B5G) communications to enable real-time interaction of haptic data over the internet between tactile ends. This emerging TI technology is regarded as the next evolutionary step for the Internet of Things (IoT) and is expected to bring about massive changes towards Society 5.0 and to address complex issues in current society. To that end, the 5G mobile communication systems will support the TI at the wireless edge. As a result, TI can be used as a backbone for delay mitigation in conjunction with 5G networks, allowing for ultra-reliable low latency applications like Smart Manufacturing, virtual reality, and augmented reality. Consequently, the purpose of this paper is to present the current state of 5G and TI, as well as the challenges and future trends for 5G networks beyond 2021, as well as a conceptual framework for integrating 5G and TI into existing industrial case studies, with a focus on the design aspects and layers of TI, such as the master, network, and slave layers. Finally, the key publications focused on the key enabling technologies of TI are summarized and the beyond 5G era towards Society 5.0 based on cyber-physical systems is discussed.

scholarly journals A Hybrid Approach to Call Admission Control in 5G Networks

2018 ◽  
Vol 2018 ◽  
pp. 1-7 ◽  
Author(s):  
Mohammed Al-Maitah ◽  
Olena O. Semenova ◽  
Andriy O. Semenov ◽  
Pavel I. Kulakov ◽  
Volodymyr Yu. Kucheruk
Keyword(s):  
Artificial Intelligence ◽  
Quality Of Service ◽  
Admission Control ◽  
Mobile Communications ◽  
Communication Systems ◽  
Call Admission Control ◽  
Hybrid Approach ◽  
5G Networks ◽  
Call Admission

Artificial intelligence is employed for solving complex scientific, technical, and practical problems. Such artificial intelligence techniques as neural networks, fuzzy systems, and genetic and evolutionary algorithms are widely used for communication systems management, optimization, and prediction. Artificial intelligence approach provides optimized results in a challenging task of call admission control, handover, routing, and traffic prediction in cellular networks. 5G mobile communications are designed as heterogeneous networks, whose important requirement is accommodating great numbers of users and the quality of service satisfaction. Call admission control plays a significant role in providing the desired quality of service. An effective call admission control algorithm is needed for optimizing the cellular network system. Many call admission control schemes have been proposed. The paper proposes a methodology for developing a genetic neurofuzzy controller for call admission in 5G networks. Performance of the proposed admission control is evaluated through computer simulation.

scholarly journals A Lightweight Slice-Based Quality of Service Manager for IoT

IoT ◽  
2020 ◽  
Vol 1 (1) ◽  
pp. 49-75
Author(s):  
Antonio Oliveira-Jr ◽  
Kleber Cardoso ◽  
Filipe Sousa ◽  
Waldir Moreira
Keyword(s):  
Quality Of Service ◽  
Industry 4.0 ◽  
Farming Systems ◽  
Smart Manufacturing ◽  
Network Slicing ◽  
Wide Range ◽  
The Internet Of Things ◽  
Service Manager ◽  
Digital Farming

Industry 4.0 and digital farming rely on modern communication and computation technologies such as the Internet of Things (IoT) to provide smart manufacturing and farming systems. Having in mind a scenario with a high number of heterogeneous connected devices, with varying technologies and characteristics, the deployment of Industry 4.0 and digital farming solutions faces innovative challenges in different domains (e.g., communications, security, quality of service). Concepts such as network slicing and Software-Defined Networking (SDN) provide the means for faster, simpler, scalable and flexible solutions in order to serve a wide range of applications with different Quality-of-Service (QoS) requirements. Hence, this paper proposes a lightweight slice-based QoS manager for non-3GPP IoT focusing on different use cases and their varying requirements and characteristics. Our focus in this work is on non-3GPP IoT unlicensed wireless technologies and not specifically the end-to-end network slice perspective as described in 5G standards. We implemented and evaluated different QoS models in distinct scenarios in a real experimental environment in order to illustrate the potential of the proposed solution.

scholarly journals Visible Light Communications for Industrial Applications—Challenges and Potentials

Electronics ◽  
2020 ◽  
Vol 9 (12) ◽  
pp. 2157
Author(s):  
Yousef Almadani ◽  
David Plets ◽  
Sander Bastiaens ◽  
Wout Joseph ◽  
Muhammad Ijaz ◽  
...  
Keyword(s):  
Visible Light ◽  
Electromagnetic Interference ◽  
Industry 4.0 ◽  
High Speed ◽  
Data Exchange ◽  
Research Work ◽  
Industrial Applications ◽  
Smart Manufacturing ◽  
Low Latency ◽  
Visible Light Communications

Visible Light Communication (VLC) is a short-range optical wireless communication technology that has been gaining attention due to its potential to offload heavy data traffic from the congested radio wireless spectrum. At the same time, wireless communications are becoming crucial to smart manufacturing within the scope of Industry 4.0. Industry 4.0 is a developing trend of high-speed data exchange in automation for manufacturing technologies and is referred to as the fourth industrial revolution. This trend requires fast, reliable, low-latency, and cost-effective data transmissions with fast synchronizations to ensure smooth operations for various processes. VLC is capable of providing reliable, low-latency, and secure connections that do not penetrate walls and is immune to electromagnetic interference. As such, this paper aims to show the potential of VLC for industrial wireless applications by examining the latest research work in VLC systems. This work also highlights and classifies challenges that might arise with the applicability of VLC and visible light positioning (VLP) systems in these settings. Given the previous work performed in these areas, and the major ongoing experimental projects looking into the use of VLC systems for industrial applications, the use of VLC and VLP systems for industrial applications shows promising potential.

scholarly journals Students’ Attitudes in Learning English for Tourism Using Google Classroom in Mataram Tourism College

2020 ◽  
Vol 7 (1) ◽  
pp. 9
Author(s):  
Ida Nyoman Tri Darma Putra
Keyword(s):  
Industry 4.0 ◽  
Teaching And Learning ◽  
The Internet ◽  
Learning Methods ◽  
The World ◽  
Students Attitudes ◽  
Students Satisfaction ◽  
Better Than ◽  
Learning English

The development of information and technology continues to grow in this revolution industry 4.0, especially in the development of technology with the internet. It influences the world of education, especially in learning methods. One of the developments in education and learning methods that are currently in use is Google classroom. The purpose of this study is to identify how students' responses towards learning English Profession using Google Classroom which is applied to the teaching and learning process at the Mataram College of Tourism. This research is survey research. The number of samples of this study was 135 students from Mataram College of Tourism. The variables examined in this study include aspects of ease in accessing, usefulness, communication and interaction, and students’ satisfaction in learning using google classroom. The result of this research shows that students in Mataram Tourism College feel accessing Google Classroom is easy to access, useful, easy for communication and interaction and feel satisfying with Google Classroom. From the interview, the respondents agree that Google Classroom offers helpful features that support the lecturers to manage the course efficiently and effectively. However, from the interview, it was found that the respondents felt that the quality of the learning processing was not better than conventional methods and they were uncomfortable during the learning processing in the google classroom.

IoT and Smart Manufacturing

2018 ◽  
pp. 1-38 ◽  
Author(s):  
Aqeel ur Rehman ◽  
Iqbal Uddin Khan ◽  
Ahmar Murtaza ◽  
Uzma Naz
Keyword(s):  
Energy Efficiency ◽  
Internet Of Things ◽  
Manufacturing Process ◽  
Smart Manufacturing ◽  
The Internet ◽  
Huge Amount

Internet of things (IoT) is a concept of providing uniquely identifiable objects connectivity to the internet. Under the roof of IoT, it is predicted that above 28 billion devices will be connected to the internet by the year 2020. When billions of things connect, it will be difficult to manage and analyze huge amount of data as each object will send and retrieve data. Smart manufacturing is an emerging concept where the manufacturing process is supported by technology and the required information is made available during the manufacturing process to get the flexibility and the product as per customer changing needs. Internet of things (IoT) may provide a good platform to enhance the manufacturing process into smart manufacturing. The advantages of smart manufacturing include the higher quality of a product, improved productivity, increased energy efficiency, enhanced scalability in manufacturing process, etc. This chapter presents in depth the IoT and smart manufacturing concepts, their requirements, relevance, and available solutions.

scholarly journals Six-Gear Roadmap Towards the Smart Factory

2021 ◽  
Vol 11 (8) ◽  
pp. 3568
Author(s):  
Amr T. Sufian ◽  
Badr M. Abdullah ◽  
Muhammad Ateeq ◽  
Roderick Wah ◽  
David Clements
Keyword(s):  
Industry 4.0 ◽  
Manufacturing Industry ◽  
Industrial Revolution ◽  
Digital Technologies ◽  
Industrial Applications ◽  
Smart Manufacturing ◽  
Conceptual Approach ◽  
Industrial Manufacturing ◽  
Key Enabling Technologies ◽  
Manufacturing Technologies

The fourth industrial revolution is the transformation of industrial manufacturing into smart manufacturing. The advancement of digital technologies that make the trend Industry 4.0 are considered as the transforming force that will enable this transformation. However, Industry 4.0 digital technologies need to be connected, integrated and used effectively to create value and to provide insightful information for data driven manufacturing. Smart manufacturing is a journey and requires a roadmap to guide manufacturing organizations for its adoption. The objective of this paper is to review different methodologies and strategies for smart manufacturing implementation to propose a simple and a holistic roadmap that will support the transition into smart factories and achieve resilience, flexibility and sustainability. A comprehensive review of academic and industrial literature was preformed based on multiple stage approach and chosen criteria to establish existing knowledge in the field and to evaluate latest trends and ideas of Industry 4.0 and smart manufacturing technologies, techniques and applications in the manufacturing industry. These criteria are sub-grouped to fit within various stages of the proposed roadmap and attempts to bridge the gap between academia and industry and contributes to a new knowledge in the literature. This paper presents a conceptual approach based on six stages. In each stage, key enabling technologies and strategies are introduced, the common challenges, implementation tips and case studies of industrial applications are discussed to potentially assist in a successful adoption. The significance of the proposed roadmap serve as a strategic practical tool for rapid adoption of Industry 4.0 technologies for smart manufacturing and to bridge the gap between the advanced technologies and their application in manufacturing industry, especially for SMEs.

scholarly journals COMBINED CRITERION FOR THE CHOICE OF ROUTING BASED ON D2D TECHNOLOGY

2021 ◽  
Vol 1 (1) ◽  
pp. 7-13
Author(s):  
А. V. Bulashenko
Keyword(s):  
Wireless Network ◽  
Communication Networks ◽  
New Technologies ◽  
Significant Proportion ◽  
Low Latency ◽  
5G Networks ◽  
Maximum Throughput ◽  
Traffic Routing ◽  
Routing Methods

Context. 5G network is able to improve existing services and provide a new quality of services. 5G communication networks combine various radio technologies and technologies of fixed communication networks, therefore they are often called heterogeneous, which emphasizes their difference from other networks. One of the main features of such networks is over-density and ultra-low latency. It is the Internet of things that is the basic component of the concept of super dense networks. 3GPP suggests planning 5G networks based on the condition that 1 million devices is 1 km2. Also, ultra-low latency communications networks have a big impact on networking methods, especially for the tactile Internet concept. Such networks require decentralization through 1 ms delay requirements. This requires new approaches to building a new generation of networks, which is the reason for the development of new technologies. One such technology is D2D (device-to-device) technology. This technology allows you to reduce the load on the core of the network due to the use of a significant proportion of the traffic directly between devices and reduces the delay in providing services. Objective. The goal of the work is to create an optimal combined criterion for choosing effective traffic routes in a wireless network based on D2D technology. Method. Many modern works are devoted to the study of D2D technology, but they are not exhaustive in the study of routing in such networks. It is objective enough to study networks built on the basis of the interaction of devices with each other using D2D technology, since such interactions have proven to be effective technologies. This, in turn, involves the development of appropriate routing methods in networks using D2D technology, especially taking into account the property of over-density 5G networks. The paper proposes a criterion for selecting routes, taking into account interference within the channels forming the network nodes. This criterion combines the choice of routes according to the length criteria and the criterion of maximum throughput. Results. A developed combined criterion for selecting traffic routing in a wireless network that uses D2D technology. The results of the study are shown in graphic data. Conclusions. The experiments confirmed the efficiency and effectiveness of the developed method and allow us to recommend this method for practical use as a result of route selection, taking into account those network properties that are more likely to affect the quality of the route.

scholarly journals Cutting Tool Wearing Identification Through Predictive Maintenance and Its Impact on Surface Quality

2021 ◽  
Author(s):  
Jose Maria Gonzalez Castro ◽  
Giselle Ramirez Sandoval ◽  
Eduard Vidales Coca ◽  
Nuri Cuadrado Lafoz ◽  
Francesc Bonada
Keyword(s):  
Surface Quality ◽  
Industry 4.0 ◽  
Cutting Tool ◽  
Cutting Tools ◽  
Predictive Maintenance ◽  
Smart Manufacturing ◽  
Long Time ◽  
The Media ◽  
Tool Vibrations

Smart manufacturing has been in the media for a long time, but the reality shows that traditional mechanical manufacturing industries have not been able to implement data solutions aligned with Industry 4.0 standards. This work inquiries into the possibility of measuring cutting tool vibrations for CNC turning machines and presents the data analysis and a predictive model to identify tool wearing that can affects integrity surface quality of the manufactured component. These preliminary results are orientated towards implementing a predictive maintenance methodology in cutting tools.

Information Processing in Work Environment 4.0 and the Beneficial Impact of Intentional Forgetting on Change Management

2020 ◽  
Vol 64 (1) ◽  
pp. 17-29 ◽  
Author(s):  
Arnulf Sebastian Schüffler ◽  
Christof Thim ◽  
Jennifer Haase ◽  
Norbert Gronau ◽  
Annette Kluge
Keyword(s):  
Work Environment ◽  
Industry 4.0 ◽  
Experimental Approach ◽  
Cyber Physical Systems ◽  
The Internet ◽  
Physical Systems ◽  
Intentional Forgetting ◽  
Beneficial Impact ◽  
The Internet Of Things

Abstract. Industry 4.0, based on increasingly progressive digitalization, is a global phenomenon that affects every part of our work. The Internet of Things (IoT) is pushing the process of automation, culminating in the total autonomy of cyber-physical systems. This process is accompanied by a massive amount of data, information, and new dimensions of flexibility. As the amount of available data increases, their specific timeliness decreases. Mastering Industry 4.0 requires humans to master the new dimensions of information and to adapt to relevant ongoing changes. Intentional forgetting can make a difference in this context, as it discards nonprevailing information and actions in favor of prevailing ones. Intentional forgetting is the basis of any adaptation to change, as it ensures that nonprevailing memory items are not retrieved while prevailing ones are retained. This study presents a novel experimental approach that was introduced in a learning factory (the Research and Application Center Industry 4.0) to investigate intentional forgetting as it applies to production routines. In the first experiment ( N = 18), in which the participants collectively performed 3046 routine related actions (t1 = 1402, t2 = 1644), the results showed that highly proceduralized actions were more difficult to forget than actions that were less well-learned. Additionally, we found that the quality of cues that trigger the execution of routine actions had no effect on the extent of intentional forgetting.

scholarly journals Challenges Associated with Implementing 5G in Manufacturing

Telecom ◽  
2020 ◽  
Vol 1 (1) ◽  
pp. 48-67 ◽  
Author(s):  
Eoin O’Connell ◽  
Denis Moore ◽  
Thomas Newe
Keyword(s):  
Big Data ◽  
Industry 4.0 ◽  
Manufacturing Sector ◽  
Smart Manufacturing ◽  
5G Networks ◽  
Security Issues ◽  
Technical Requirements ◽  
The Future ◽  
Factory Of The Future ◽  
Industry Sectors

5G networks will change several industries, including manufacturing. 5G has the potential to become the future communication platform of choice for many industries and in particular the manufacturing sector, driving the future of Industry 4.0 and smart manufacturing. The vision of a “factory of the future” is now tangible for many industry sectors. The ability to cope with increased bandwidth, latency requirements, big-data generated from more connected equipment and the data processing required on the factory floor is a massive challenge for industry. This paper discusses how 5G can impact a manufacturing environment, the standards and technical requirements needed to meet the demands of utilizing 5G, and the security issues that need to be addressed if planning a 5G deployment.

Sign in / Sign up

Export Citation Format

Share Document