Special Issue "IoT Applications and Industry 4.0"
Deadline for manuscript submissions: 30 August 2019
In recent years, we have been witnessing the rise of the Internet-of-Things (IoT) computing paradigm, which is propelled by the exponential increase of the number of Internet-connected devices that already amount to tens of billions. IoT enables a wide range of different applications, which leverage data from the physical world as a means of providing new forms of intelligence and enabling paradigm shifts in areas such as healthcare, transport, smart cities, and logistics. Despite its potential to disrupt almost all sectors of the economy, it was recently acknowledged that the lion’s share of IoT in the years to come will stem from its deployment in industrial environments, which is usually coined as Industrial Internet-of-Things (IIoT). IIoT is the cornerstone of the fourth industrial revolution (Industry 4.0), which hinges on the digitization of industrial processes and the use of Internet-connected devices and cyberphysical systems for automation and control. IIoT is already disrupting production operations in industrial plants, based on its deployment in the scope of novel use cases, like flexible automation, predictive maintenance, optimal supply chain management, digital twins, augmented reality, and more.
Nevertheless, to effectively support IIoT deployments in industrial settings, there is still a need to overcome several challenges stemming from the special attributes of device-to-device communications, embedded devices, big data management, but also from the expanded complexity of Internet-connected devices that currently include smart objects with (semi)autonomous behavior such as drones, industrial robots, and autonomous guided vehicles. The latter create new challenges associated with the identification of efficient ways for integrating IoT technologies in contemporary applications exploiting the potentials of real-time monitoring, interactive control, self-management, and data analytics towards “smart” behavior and enhanced performance. This is the reason the research community is intensively working on devising, implementing, and validating advanced IIoT solutions that address the above-listed challenges in device saturated environments, which include smart objects. In this context, this Special Issue focuses on Industrial Internet-of-Things systems and applications, which represent the highest value segment of the IoT market. The main scope of this Special Issue is to identify and promote new techniques for the realization of promising IoT applications in various areas, with particular emphasis on Industry 4.0 scenarios and their deployments in industrial settings, such as manufacturing shop-floors, energy plants, oil refineries, warehouses, and smart cities. We welcome submissions on the core technologies that underpin IIoT (e.g., networking, Big Data, cybersecurity), as well as on prototypes, case studies, and pilot deployments of IIoT/Industry 4.0 applications. Overall topics of interest include (but are not limited to):
- Industry 4.0;
- Smart electric grids;
- Smart farming;
- Environmental telemetry;
- Smart city;
- Smart home;
- Renewable energy;
- Remote e-health;
- Vehicular networks;
- Autonomous vehicles;
- Flying networks;
- Sensor networks;
- Smart retails and supply chain;
- Industrial Internet-of-Things architectures;
- Design and implementation of cyberphysical production systems;
- Multisensor systems for automated data collection in industrial environments;
- Industrial Internet-of-Things systems that comprise smart objects (drones, robots, autonomous guided vehicles);
- Performance analysis and evaluation of Industrial Internet-of-Things systems;
- Cybersecurity in Industrial Internet-of-Things environments;
- Framework for convergence of IT and OT security;
- Distributed data analytics for machine intelligence;
- Industrial IoT technologies for flexible production lines;
- Internet-of-Things analytics for digital simulations and digital twins;
- Analytics for production monitoring;
- Advanced machine learning and artificial intelligence approaches for industrial use cases;
- Industrial IoT use cases such as digital automation, predictive maintenance, and zero-defect production;
- Industrial IoT cases studies in sectors like manufacturing, energy, oil and gas, mining, and supply chain management.
Dr. Thomas Lagkas
Dr. Panagiotis Sarigiannidis
Dr. John Soldatos
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 papers will be 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. Information is an international peer-reviewed open access monthly 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 1000 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.
- Industrial Internet-of-Things
- Big Data
- high speed connectivity
- artificial intelligence