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Intelligent Industrial Application of Communication Systems
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Intelligent Industrial Application of Communication Systems

A special issue of Applied System Innovation (ISSN 2571-5577).

Deadline for manuscript submissions: closed (30 November 2021) | Viewed by 44701

Special Issue Editor

Dr. Claudio Zunino

E-Mail Website
Guest Editor
National Research Council of Italy (CNR), Institute of Electronics, Computer and Telecommunication Engineering (IEIIT), Corso Duca degli Abruzzi 24, 10129 Torino, Italy
Interests: Computer engineering; industrial communication systems; Industry 4.0; Industrial Internet of Things (IIoT)

Special Issue Information

Dear Colleagues,

In the last few years, the improvement of wireless protocols, the development of new computing paradigms, and the lower cost of hardware have resulted in a new era for Internet of Things (IoT) and Industrial IoT (IIoT) applications. As the IIoT integrates many heterogeneous networks, such as Wireless Sensor Networks (WSNs), Wireless Local Area Networks (WLANs), mobile communication networks (3G/4G/LTE/5G), Wireless Mesh Networks (WMNs), and wearable healthcare systems, it is critical to design self-organizing and smart protocols for heterogeneous ad hoc networks in various IoT applications, such as cyberphysical systems, cloud computing, and data acquisition. Specifically, a large number of low-cost sensors or IoT devices need to be deployed in the environment to sense or observe objects and events so that accurate and reliable environment information can be sufficiently obtained and fed back to intelligent agents and human decision makers. The sensing, communication, data processing, and security management involved in this process present a deluge of theoretically significant and practically meaningful challenges to researchers in related fields. Furthermore, the impact of the new 5G technology on all these aspects must also be considered. The main objective of this Special Issue is to provide a forum to share and discuss new ideas, use cases, and present research results on all aspects of industrial communication systems. Potential topics include, but are not limited to:

  • Design principles and practices for 5G-integrated factories;
  • Device and network virtualization in 5G-enabled IoT scenarios;
  • Performance evaluation of industrial automation systems, platforms, and communication protocols;
  • Wireless sensor networks and protocols for IoT/IIoT;
  • Novel IoT applications and uses enabled by networks.

Dr. Claudio Zunino
Guest Editor

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Published Papers (7 papers)

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Research

16 pages, 3403 KiB  
Article
Design and Implementation of EOICHD Based Clustered Routing Protocol Variants for Wireless Sensor Networks
by Anupkumar Bongale, Arunkumar Bongale, Satish Kumar, Rahul Joshi and Kishore Bhamidipati
Appl. Syst. Innov. 2021, 4(2), 25; https://doi.org/10.3390/asi4020025 - 7 Apr 2021
Cited by 3 | Viewed by 2938
Abstract
Efficient energy utilization and network life prolongation are primary objectives to be considered when designing a Wireless Sensor Network. Cluster-based routing protocols are most suitable for achieving such goals. Energy and Optimal Inter Cluster Head Distance (EOICHD) is a cluster-based hierarchical routing protocol [...] Read more.
Efficient energy utilization and network life prolongation are primary objectives to be considered when designing a Wireless Sensor Network. Cluster-based routing protocols are most suitable for achieving such goals. Energy and Optimal Inter Cluster Head Distance (EOICHD) is a cluster-based hierarchical routing protocol inspired by the Low-Energy Adaptive Clustering Hierarchy (LEACH) protocol. EOICHD resolves the problems associated with LEACH protocol, such as selecting cluster head nodes in close proximity. By carefully selecting the cluster head nodes based on residual energy and optimal inter-cluster head distance, EOICHD ensures that selected cluster head nodes are separated by a certain optimal distance. This approach ensures uniform distribution of cluster head nodes across the entire network. The study of the EOICHD protocol presented so far is not sufficient. Hence, in this paper, we propose three variants of EOICHD protocol to understand its behavior in a better manner. A comparative analysis of all three EOICHD variants, LEACH and LEACH-central constrained (LEACH-C) protocol, is performed by considering comparative parameters such as alive nodes, cumulative network energy, data packets arrived at the base station, and stability of the network. Full article
(This article belongs to the Special Issue Intelligent Industrial Application of Communication Systems)
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30 pages, 3378 KiB  
Article
6G Enabled Industrial Internet of Everything: Towards a Theoretical Framework
by Prafulla Kumar Padhi and Feranando Charrua-Santos
Appl. Syst. Innov. 2021, 4(1), 11; https://doi.org/10.3390/asi4010011 - 11 Feb 2021
Cited by 44 | Viewed by 6028
Abstract
Currently, the deficiencies of the 5G mobile system as an enabler of Internet of Everything (IoE) applications are stimulating global research activities to focus on the sixth generation (6G) wireless system. The potential of IoE is enormous and growing exponentially. With the dawn [...] Read more.
Currently, the deficiencies of the 5G mobile system as an enabler of Internet of Everything (IoE) applications are stimulating global research activities to focus on the sixth generation (6G) wireless system. The potential of IoE is enormous and growing exponentially. With the dawn of the fifth industrial revolution, IoE is transposing into industrial Internet of Everything (IIoE) projects which are complex and are eventuating to become a prominent technology for all industries offering new opportunities. This study embodies a synthesis of 6G, IoT, IoE, IIoE exhaustive literature review advancing knowledge to facilitate theory development. For the first time, a novel theoretical framework for the 6G-enabled IIoE (henceforth referred to as 6GIIoE) system was developed. Judiciously, sequential methodology is best suited for this emerging discipline research to create significant new knowledge in the literature contributing eternal insights to expound valuable contexts to ruminate significant findings. The theoretical framework developed recognizes 6GIIoE priority areas, challenges, and applications bestowing a guide for 6G-enabled IIoE initiatives divulging opportunities for future research activities. Full article
(This article belongs to the Special Issue Intelligent Industrial Application of Communication Systems)
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21 pages, 1986 KiB  
Article
Revealing Social Media Phenomenon in Time of COVID-19 Pandemic for Boosting Start-Up Businesses through Digital Ecosystem
by Heru Susanto, Leu Fang Yie, Fadzliwati Mohiddin, Arief Amier Rahman Setiawan, Parastou Khodaparast Haghi and Desi Setiana
Appl. Syst. Innov. 2021, 4(1), 6; https://doi.org/10.3390/asi4010006 - 20 Jan 2021
Cited by 29 | Viewed by 13507
Abstract
When the world was engulfed by a COVID-19 pandemic crisis, various activities could not be carried out normally. Activities may continue from home during a crisis by the use of a smartphone through the internet, because almost all people have their own smartphone, [...] Read more.
When the world was engulfed by a COVID-19 pandemic crisis, various activities could not be carried out normally. Activities may continue from home during a crisis by the use of a smartphone through the internet, because almost all people have their own smartphone, without requiring additional purchase of hardware. For formal learning, people can take the opportunity to use social media platforms to undertake conversations easily by using smart phones, even tablets. Teenagers or adults who are still studying in higher education institutions can undertake continuous learning for their work assignments. For example, they can use these tools to communicate through social media such as the WhatsApp, Telegram, Zoom, Microsoft Team, and Edmodo apps to connect with friends and lecturers. This research reveals trends of digital social media security and usability in the time of the COVID-19 pandemic situation, such as working from home, establishing a start-up, improving business processes and conducting online business within the digital ecosystem. The result is interesting and there are many uses of social media which have been addressed in this study during the COVID-19 pandemic for business purposes. The various social media platforms have different features that are available for use by subscribers, and also make it easier for people to do business. This is mainly due to the fact that they open up the global market and also make it cheaper to advertise. The government as well as the private sector has been in the forefront when it comes to the use of social media. Maintaining a good online presence is one of the key aspects that determine the success of start-up companies. This is due to the fact that most customers usually rely on the customer reviews in determining the ability of a company to meet the needs of clients. The main reason why most companies set up a customer relations department that is mandated with the responsibility of responding to customer feedback on various online platforms. On the other hand, the increased use of social media has brought new challenges when it comes to the security of information. Users must, therefore, secure their servers and technology from external and internal threats. One of the strategies used is the use of passwords to log into a portal where each person authorized to access the portal is provided with a password that is unique and known only by the user. The study has covered all these areas in detail including the use of database management systems in an organization or individual. Full article
(This article belongs to the Special Issue Intelligent Industrial Application of Communication Systems)
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14 pages, 1240 KiB  
Article
Cognitive Manufacturing in Industry 4.0 toward Cognitive Load Reduction: A Conceptual Framework
by Adriana Ventura Carvalho, Amal Chouchene, Tânia M. Lima and Fernando Charrua-Santos
Appl. Syst. Innov. 2020, 3(4), 55; https://doi.org/10.3390/asi3040055 - 3 Dec 2020
Cited by 28 | Viewed by 7053
Abstract
Cognitive manufacturing utilizes cognitive computing, the industrial Internet of things (IoT), and advanced analytics to upgrade manufacturing processes in manners that were not previously conceivable. It enables associations to improve major business measurements, for example, productivity, product reliability, quality, and safety, while decreasing [...] Read more.
Cognitive manufacturing utilizes cognitive computing, the industrial Internet of things (IoT), and advanced analytics to upgrade manufacturing processes in manners that were not previously conceivable. It enables associations to improve major business measurements, for example, productivity, product reliability, quality, and safety, while decreasing downtime and lowering costs. Considering all the facts that can prejudice the manufacturing performance in Industry 4.0, the cognitive load has received more attention, since it was previously neglected with respect to manufacturing industries. This paper aims to investigate what causes cognitive load reduction in manufacturing environments, i.e., human–computer interaction technologies that reduce the identified causes and the applications of cognitive manufacturing that use the referred technologies. Thus, a conceptual framework that links cognitive manufacturing to a reduction of the cognitive load was developed. Full article
(This article belongs to the Special Issue Intelligent Industrial Application of Communication Systems)
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18 pages, 24991 KiB  
Article
Towards a More Robust Non-Rigid Robotic Joint
by Vítor H. Pinto, José Gonçalves and Paulo Costa
Appl. Syst. Innov. 2020, 3(4), 45; https://doi.org/10.3390/asi3040045 - 20 Oct 2020
Cited by 4 | Viewed by 3001
Abstract
The following paper presents an improved, low cost, non-rigid joint that can be used in both robotic manipulators and leg-based traction robotic systems. This joint is an improvement over the previous one presented by the same authors because it is more robust. The [...] Read more.
The following paper presents an improved, low cost, non-rigid joint that can be used in both robotic manipulators and leg-based traction robotic systems. This joint is an improvement over the previous one presented by the same authors because it is more robust. The design iterations are presented and the final system has been modeled including some nonlinear blocks. A control architecture is proposed that allows compliant control to be used under adverse conditions or in uncontrolled environments. The presented joint is a cost-effective solution that can be used when normal rigid joints are not suitable. Full article
(This article belongs to the Special Issue Intelligent Industrial Application of Communication Systems)
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18 pages, 2619 KiB  
Article
Managing Cloud Intelligent Systems over Digital Ecosystems: Revealing Emerging App Technology in the Time of the COVID19 Pandemic
by Heru Susanto, Fang-Yie Leu, Wahyu Caesarendra, Fahmi Ibrahim, Parastou Khodaparast Haghi, Uus Khusni and Adam Glowacz
Appl. Syst. Innov. 2020, 3(3), 37; https://doi.org/10.3390/asi3030037 - 7 Sep 2020
Cited by 16 | Viewed by 5990
Abstract
The COVID19 pandemic has indirectly changed the landscape of the business environment system through cloud intelligence within the digital ecosystem that has as a goal increasing the access, efficiency, effectiveness, equity and quality of business processes through cloud intelligent systems. Cloud intelligent systems [...] Read more.
The COVID19 pandemic has indirectly changed the landscape of the business environment system through cloud intelligence within the digital ecosystem that has as a goal increasing the access, efficiency, effectiveness, equity and quality of business processes through cloud intelligent systems. Cloud intelligent systems are becoming revolutionary in today’s world pandemic causing a complete and drastic change to a variety of industries, including, security, transportation, business, logistics and manufacturing. The main purpose of cloud intelligence systems is to facilitate the ease of access from any location and the management of practical computing resources. One of the challenges faced by cloud technology today is scheduling. The role of scheduling algorithms is very important, since tasks are executed by orders that may need more attention. Here, scheduling algorithms intended to minimize monetary cost and minimize makespan time to execute the workflow are presented. This study proposes cloud intelligent systems apps through an approach to cloud computing scheduling that may lead to great benefits and efficiency. The result is very promising. It showed that there are numerous applications of intelligent systems due to the more advanced hardware being built nowadays, plus business processes advancing to become smarter and more efficient in growing profitably over a destructive digital ecosystem during the COVID19 pandemic. The results indicate that intelligent systems over the cloud play a big role not just for interacting with the world helping businesses grow, but as well as in the advancement for a better tomorrow. Full article
(This article belongs to the Special Issue Intelligent Industrial Application of Communication Systems)
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16 pages, 3843 KiB  
Article
Neuromorphic Robotic Platform with Visual Input, Processor and Actuator, Based on Spiking Neural Networks
by Ran Cheng, Khalid B. Mirza and Konstantin Nikolic
Appl. Syst. Innov. 2020, 3(2), 28; https://doi.org/10.3390/asi3020028 - 24 Jun 2020
Cited by 9 | Viewed by 5198
Abstract
This paper describes the design and modus of operation of a neuromorphic robotic platform based on SpiNNaker, and its implementation on the goalkeeper task. The robotic system utilises an address event representation (AER) type of camera (dynamic vision sensor (DVS)) to capture features [...] Read more.
This paper describes the design and modus of operation of a neuromorphic robotic platform based on SpiNNaker, and its implementation on the goalkeeper task. The robotic system utilises an address event representation (AER) type of camera (dynamic vision sensor (DVS)) to capture features of a moving ball, and a servo motor to position the goalkeeper to intercept the incoming ball. At the backbone of the system is a microcontroller (Arduino Due) which facilitates communication and control between different robot parts. A spiking neuronal network (SNN), which is running on SpiNNaker, predicts the location of arrival of the moving ball and decides where to place the goalkeeper. In our setup, the maximum data transmission speed of the closed-loop system is approximately 3000 packets per second for both uplink and downlink, and the robot can intercept balls whose speed is up to 1 m/s starting from the distance of about 0.8 m. The interception accuracy is up to 85%, the response latency is 6.5 ms and the maximum power consumption is 7.15 W. This is better than previous implementations based on PC. Here, a simplified version of an SNN has been developed for the ‘interception of a moving object’ task, for the purpose of demonstrating the platform, however a generalised SNN for this problem is a nontrivial problem. A demo video of the robot goalie is available on YouTube. Full article
(This article belongs to the Special Issue Intelligent Industrial Application of Communication Systems)
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