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Electronics
Special Issues
Applications of Next-Generation IoT
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Applications of Next-Generation IoT

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Networks".

Deadline for manuscript submissions: closed (31 December 2021) | Viewed by 16271

Special Issue Editor

Dr. Michail J. Beliatis

E-Mail Website
Guest Editor
Department of Business Development and Technology, Aarhus University, Birk Centerpark 15, 7400 Herning, Denmark
Interests: next-generation internet (NGI); industrial internet of things (IIoT); digitization of manufacturing, digital lean & green factories/warehouses of future, wearable iot devices; industry X; smart global manufacturing, operations and supply chains; systems interoperability; robotics and mechatronics; advanced functional nanomaterials (AFNMs); additive/hybrid manufacturing, renewables; agile business development in engineering (ABDE)
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The Internet of Things (IoT) from technological and protocols perspectives has matured considerably. However, in terms of IoT applications, assimilation in everyday life and businesses is undergoing a fundamental transformation. Undoubtedly, an increasing diversity of intelligent devices connect rapidly at different levels and associate with all types of data flow. As a result of this, the next-generation IoT (NGIoT) has to evolve into a human-oriented environment that respects the fundamental values of privacy, participation, diversity, trust, value creation, and embrace of self-awareness. Underpinning this global development, this Special Issue on the Application of Next-Generation IoT in the journal Electronics aims to gather the latest industrial and academic progress, business, research, innovation, and development efforts within the rapidly maturing IoT ecosystem. This Issue will profoundly explore the concept of IoT as well as information and communications technologies (ICT) applications in new functionalities to support people’s needs in a broad context, and to address global sustainability challenges. It aims to link research, policy, business, and society for the benefit of society. Additionally, the Issue aims to highlight the recent activities and achievements therein, as well as provide insights into the theoretical and practical matters related to breakthroughs in this field from different perspectives. We welcome contributions on the emerging IoT topics that support prospective radical IoT applications as well as ICT-based enablers. The submissions should be tutorial in nature and significantly advance the state-of-the-art in the topics on IoT nanosensor/haptic/tactile/wearables, network configurations, IoT for digital business transformation (digitalization), IoT for enhancing the operations in enterprises setup, and IoT systems of systems, which include but are not limited to:

  • Business development and new digital business model development in IoT engineering to embrace the potential of next-generation IoT (NGIoT) for all generations of humanity.
  • NGIoT applications to promote the UN Sustainable Development Goals (SDGs) and strategic value creation.
  • IoT applications promoting business globalization tailored for local needs and entrepreneurship.
  • NGIoT emerging applications (e.g., IoT for agriculture, smart cities, smart energy, the automotive industry, smart health, smart transport, public safety, humanitarian technologies, Industry X.0, Society X.0, artificial intelligence).
  • Novel NGIoT systems complimented with VR/AR, machine learning/AI, robotics, drones, and mechatronics for advanced reliable teleoperations and social interactions.
  • Blockchains in NGIoT for enhancing trust in business transactions and alleviating disputes in contracts.
  • Advanced functional nanoelectronics and materials (flexible, printed, biocompatible, hybrid) for enabling next-generation IoT applications.
  • -Efficient energy scavengers and energy management setups for green powering next-generation IoT applications.
  • Economical and resourceful sustainable large-scale energy production, storage, distribution, and utilization using NGIoT for society.
  • Enhanced Digital Lean Boards with NGIoT applications for optimizing operations in industrial setups, efficient project management, real-time user feedback and effective KPIs monitoring.
  • NGIoT for smart manufacturing, industrial systems interoperability, global supply chains, traceability, quality, reliability, and trust embrace combining technologies such as block chains, e-coins, and smart contracts.
  • NGIoT for retail applications including B2B, B2C, and M2M.
  • Swarm NGIoT system architecture, protocol design, and integrated communications for e-commerce platforms to promote business value creation in terrestrial and interstellar environments.
  • Data compression, edge and fog computing in NGIoT for efficient bandwidth consumption and storage.
  • NGIoT for entertainment, art, and design applications.
  • NGIoT application for trustworthy real-time user feedback for mass product customization and advanced product development methodologies.
  • Ethical hacking techniques, security penetration tests in controlled environments (simulation, testbed, and measurement campaigns) for enhancing the self-aware security in NGIoT applications.
  • NGIoT applications in medicine, biomimetics, wearables, minification of medical examination devices, lab-on-chip, and data retrieval to improve diagnosis speed and early prevention in a trusted social environment.
  • Smart objects, devices, environments, middleware, platforms, and tools for NGIoT applications.
  • Socio-economic, security and privacy, standardization, policy, and regulatory aspects for NGIoT applications.
  • Novel next-generation Internet of Things applications for everything, paradigms (e.g., internet of bio-nano things, internet of vehicles/automotive, internet of drones, internet of space, internet of people, internet of furnitures, internet of education).

Dr. Michail J. Beliatis
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Human-centric IoT ecosystem
  • Services for consumers, industry, retail and society
  • Business development and risk management
  • Virtualization and decentralized management
  • Real-time capabilities, manufacturing of the future
  • Integrated terrestrial/satellite communications
  • Trustworthy and cost-effective network performance
  • Interoperability across hybrid infrastructures
  • Art and advanced product development
  • Security and control in internet applications

Published Papers (4 papers)

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Research

25 pages, 19071 KiB  
Article
AutoCoach: An Intelligent Driver Behavior Feedback Agent with Personality-Based Driver Models
by Zahraa Marafie, Kwei-Jay Lin, Daben Wang, Haoyu Lyu, Yanan Liu, Yu Meng and Jiaao Ma
Electronics 2021, 10(11), 1361; https://0-doi-org.brum.beds.ac.uk/10.3390/electronics10111361 - 07 Jun 2021
Cited by 6 | Viewed by 2142
Abstract
Nowadays, AI has many applications in everyday human activities such as exercise, eating, sleeping, and automobile driving. Tech companies can apply AI to identify individual behaviors (e.g., walking, eating, driving), analyze them, and offer personalized feedback to help individuals make improvements accordingly. While [...] Read more.
Nowadays, AI has many applications in everyday human activities such as exercise, eating, sleeping, and automobile driving. Tech companies can apply AI to identify individual behaviors (e.g., walking, eating, driving), analyze them, and offer personalized feedback to help individuals make improvements accordingly. While offering personalized feedback is more beneficial for drivers, most smart driver systems in the current market do not use it. This paper presents AutoCoach, an intelligent AI agent that classifies drivers’ into different driving-personality groups to offer personalized feedback. We have built a cloud-based Android application to collect, analyze and learn from a driver’s past driving data to provide personalized, constructive feedback accordingly. Our GUI interface provides real-time user feedback for both warnings and rewards for the driver. We have conducted an on-the-road pilot user study. We conducted a pilot study where drivers were asked to use different agent versions to compare personality-based feedback versus non-personality-based feedback. The study result proves our design’s feasibility and effectiveness in improving the user experience when using a personality-based driving agent, with 61% overall acceptance that it is more accurate than non-personality-based. Full article
(This article belongs to the Special Issue Applications of Next-Generation IoT)
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17 pages, 1867 KiB  
Article
The Role of Digital Maturity Assessment in Technology Interventions with Industrial Internet Playground
by Annabeth Aagaard, Mirko Presser, Tom Collins, Michail Beliatis, Anita Krogsøe Skou and Emilie Mathilde Jakobsen
Electronics 2021, 10(10), 1134; https://0-doi-org.brum.beds.ac.uk/10.3390/electronics10101134 - 11 May 2021
Cited by 10 | Viewed by 4870
Abstract
The use of digital technologies such as Internet of Things and advanced data analytics are central in digitally transforming manufacturing companies towards Industry 4.0. Success cases are frequently reported, and there is clear evidence of technology interventions conducted by industry. However, measuring the [...] Read more.
The use of digital technologies such as Internet of Things and advanced data analytics are central in digitally transforming manufacturing companies towards Industry 4.0. Success cases are frequently reported, and there is clear evidence of technology interventions conducted by industry. However, measuring the impact and effect of such interventions on digital maturity and on the organizational adoption can be challenging. Therefore, the research aim of this paper is to explore how the combination of the different methods of Industrial Internet Playground (IIP) pilots, Shadow Infrastructure (SI) and digital maturity assessment can assist in conducting and documenting the technical, as well as organisational, impact of digital interventions. Through an elaborate literature review of existing digital maturity assessment tools and key dimensions in digital transformation, we have developed a digital maturity assessment tool (DMAT), which is presented and applied in the paper to identify digital development areas and to evaluate and document the effects of digital interventions. Thus, the paper contributes with new knowledge of how the IIP pilot and SI combined with digital maturity assessment can support effective, transparent and documented digital transformation throughout an organisation, as explored through theory and a practice case. Full article
(This article belongs to the Special Issue Applications of Next-Generation IoT)
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28 pages, 7198 KiB  
Article
Enabling Heterogeneous IoT Networks over 5G Networks with Ultra-Dense Deployment—Using MEC/SDN
by Abdelhamied A. Ateya, Abeer D. Algarni, Monia Hamdi, Andrey Koucheryavy and Naglaa. F. Soliman
Electronics 2021, 10(8), 910; https://0-doi-org.brum.beds.ac.uk/10.3390/electronics10080910 - 11 Apr 2021
Cited by 15 | Viewed by 2758
Abstract
The Internet of things (IoT) is the third evolution of the traditional Internet that enables interaction and communication among machines. Many IoT platforms and networks have been developed, and recently, market sectors have started to develop specific IoT applications and services. Integrating heterogeneous [...] Read more.
The Internet of things (IoT) is the third evolution of the traditional Internet that enables interaction and communication among machines. Many IoT platforms and networks have been developed, and recently, market sectors have started to develop specific IoT applications and services. Integrating heterogeneous IoT networks with the existing ones, mainly with the cellular networks, is a great demand. IoT represents one of the main use cases of the fifth-generation (5G) cellular system as announced by the 3rd Generation Partnership Project (3GPP) and the International Telecommunication Union (ITU). Integrating IoT networks with 5G networks face many challenges related to dense deployment and a massive number of expected connected devices. Thus, IoT network availability and scalability are the main requirements that should be achieved. To this end, this work provides a framework for integrating heterogeneous IoT networks with the 5G networks. The proposed system considers dense deployment and system scalability and availability requirements as announced by ITU and 3GPP. Our proposed structure deploys three main communication paradigms; mobile edge computing (MEC), device-to-device communications (D2D), and software-defined networking (SDN). Our proposed system is evaluated over a reliable environment for various deployment scenarios, and the results validate the proposed structure. The proposed IoT/5G reduces the percentage of blocked tasks by an average of 30% than other traditional IoT networks. This increases the overall system availability and scalability since IoT networks can have more devices and tasks than existing IoT networks. Furthermore, our proposed structure reduces the overall consumed energy by an average of 20% than existing IoT networks, which is an effective metric for IoT networks. Full article
(This article belongs to the Special Issue Applications of Next-Generation IoT)
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14 pages, 2441 KiB  
Communication
Next Generation Industrial IoT Digitalization for Traceability in Metal Manufacturing Industry: A Case Study of Industry 4.0
by Michail J. Beliatis, Kasper Jensen, Lars Ellegaard, Annabeth Aagaard and Mirko Presser
Electronics 2021, 10(5), 628; https://0-doi-org.brum.beds.ac.uk/10.3390/electronics10050628 - 09 Mar 2021
Cited by 29 | Viewed by 5495
Abstract
This paper investigates digital traceability technologies taking careful consideration of the company’s needs to improve the traceability of products at the production of GPV Group as well as the efficiency and added value in their production cycles. GPV is primarily an electronics manufacturing [...] Read more.
This paper investigates digital traceability technologies taking careful consideration of the company’s needs to improve the traceability of products at the production of GPV Group as well as the efficiency and added value in their production cycles. GPV is primarily an electronics manufacturing service company (EMS) that manufactures electronic circuit boards, in addition to big metal products at their mechanics manufacturing sites. The company aims to embrace the next generation IoT technologies such as digital traceability in their internal supply chain at manufacturing sites in order to stay compatible with the Industry 4.0 requirements. In this paper, the capabilities of suitable digital traceability technologies are screened together with the actual GPV needs to determine if deployment of such technologies would benefit GPV shop floor operations and can solve the issues they face due to a lack of traceability. The traceability term refers to tracking the geolocation of products throughout the manufacturing steps and how that functionality can foster further optimization of the manufacturing processes. The paper focuses on comparing different IoT technologies and analyze their positive and negative attributes to identify a suitable technological solution for product traceability in the metal manufacturing industry. Finally, the paper proposes a suitable implementation road map for GPV, which can also be adopted from other metal manufacturing industries to deploy Industry 4.0 traceability at shop floor level. Full article
(This article belongs to the Special Issue Applications of Next-Generation IoT)
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