Advancements in Edge and Cloud Computing for Industrial IoT

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".

Deadline for manuscript submissions: 16 December 2025 | Viewed by 54

Special Issue Editors


E-Mail Website
Guest Editor
Department of Computer Engineering, Universidade da Coruña (UDC), 15071 A Coruña, Spain
Interests: edge computing; fog computing; Internet of Things; Industrial Internet of Things; blockchain; distributed ledger technology (DLT); cyber–physical systems; Industry 4.0; Industry 5.0; defence and public safety; cybersecurity
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department Computer Engineering, Faculty of Computer Science, Universidade da Coruña, 15071 A Coruña, Spain
Interests: fog computing; edge computing; Industrial Internet of Things (IIoT); blockchain; intelligent transportation systems; wireless sensor networks; wireless communications; cybersecurity; augmented reality; Industry 4.0; Industry 5.0; traceability
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
1. ADiT-Laboratory, Instituto Politécnico de Viana do Castelo, 4900-348 Viana do Castelo, Portugal
2. CiTin—Centro de Interface Tecnológico Industrial, 4970-786 Arcos de Valdevez, Portugal
3. IT—Instituto de Telecomunicações, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal
Interests: cyber–physical systems; Internet of Things/Industrial Internet of Things; Industry 5.0; sensor systems; edge intelligence
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The Industrial Internet of Things (IIoT) refers to the use of Internet of Things (IoT) technologies within industrial environments, where the real-time monitoring, control, and optimization of systems and machinery are essential to ensure operational efficiency and safety. These systems are characterized by limited computing power, intermittent network connectivity, dynamic and highly uncertain contexts, and high-stressed conditions. They often operate in harsh, challenging environments, dealing with resource constraints and various types of cyberthreats.

IIoT involves real-time data collection, analysis, and decision-making to optimize operational efficiency, increase automation, and enhance field personnel capabilities. It is especially relevant in fields like critical infrastructure, smart transportation, or emergency response, where timely and accurate decision-making is crucial.

The integration of edge and cloud computing solutions, specifically tailored for IIoT, is essential for addressing these challenges. While cloud computing provides scalability, real-time application support, and mobility, it also introduces challenges, particularly in terms of cybersecurity.

This Special Issue focuses on innovative technologies and methodologies that advance IIoT through the combination of edge and cloud computing or novel alternatives. We are especially interested in exploring how resource-limited devices in these environments (e.g., confined spaces) can leverage opportunistically external, resource-rich resources (e.g., vehicles or other platforms) to provide enhanced computational power and reduced latency.

The research papers submitted to this Special Issue will address advancements in IIoT, edge computing, and in the edge–cloud continuum in mission-critical scenarios. They can also address how the application of these technologies enhance decision-making, situational awareness, and operational efficiency in dynamic, real-time, and disconnected conditions.

In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:

  • Deployment and optimization of edge solutions in mission-critical environments.
  • Tactical cloudlets hosted on vehicles or platforms, enabling computational offloading, data filtering, and mission support at the edge.
  • Frameworks, architectures, and systems enabling the cloud–edge continuum in IIoT.
  • Techniques and solutions for reducing latency and improving energy efficiency in IIoT.
  • Opportunistic edge computing and strategies to offload resource-intensive computations to external resources to enhance device capabilities in industrial and mission-critical environments.
  • Security and privacy concerns, with a focus on safeguarding sensitive data and mission-critical information.
  • Use of UAVs or UGVs for IIoT.

We look forward to receiving your contributions.

Dr. Paula Fraga-Lamas
Dr. Tiago M. Fernández-Caramés
Dr. Sérgio Ivan Lopes
Guest Editors

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

  • Industrial Internet of Things
  • edge computing
  • cloud–edge continuum
  • opportunistic edge computing

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This special issue is now open for submission.
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