Internet of Things and Cloud-Fog-Edge Computing, 2nd Edition

A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Internet of Things (IoT)".

Deadline for manuscript submissions: 30 November 2025 | Viewed by 548

Special Issue Editors


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Guest Editor
Computer Science Department, Faculty of Engineering, University of Mons, 7000 Mons, Belgium
Interests: internet of things; edge AI-IoT; internet of medical things; cloud computing
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Guest Editor
Communication Networks Department, University Mohammed V–ENSIAS, Rabat BP 713, Morocco
Interests: parallel and distributed systems; high-performance computing; virtualisation; cloud computing
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Guest Editor
Faculty of Science, Technology and Medicine, University of Luxembourg, L-4364 Esch-sur-Alzette, Luxembourg
Interests: cloud computing; parallel and grid computing; distributed systems and middleware; optimisation techniques
Special Issues, Collections and Topics in MDPI journals
Faculty of Science, Technology and Medicine, University of Luxembourg, L-4364 Esch-sur-Alzette, Luxembourg
Interests: artificial intelligence/machine learning; cloud computing; decision-making; internet of things
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The MDPI journal Information invites submissions for a Special Issue on “Internet of Things and Cloud-Fog-Edge Computing, 2nd Edition”.

The ever-increasing number of connected objects requires more and more processing resources. Cloud computing has shown its limits, with problems of latency and link congestion linked to the volume of data transferred. To remedy this, some processing has been moved to the level between the cloud and the sensors (fog computing) and on the sensors (edge computing). These complementary approaches have made it possible to relieve the cloud layer, but new problems have emerged related to the distribution of processing between the different processing layers, the need to ensure end-to-end security to protect sensitive data, and privacy.

This Special Issue will invite high-quality, state-of-the-art research papers that deal with challenging issues in cloud, fog, and edge computing across the different parts of the IoT ecosystem. We request original papers of unpublished and completed research that are not currently under review by any other conference/journal. Topics of interest include, but are not limited to, the following:

  • Internet of medical things (IoT);
  • Smart communities and ubiquitous systems;
  • Enabling technologies and emerging topics;
  • IoT in healthcare;
  • IoT in business and industry;
  • IoT for resilient organizations;
  • Confidential computing;
  • Osmotic computing;
  • Mobile edge computing;
  • Mobile systems and applications;
  • Blockchain;
  • IoT security.

Papers should be formatted according to the MDPI template. Complete instructions for authors can be found at https://www.mdpi.com/journal/information/instructions

Dr. Olivier Debauche
Prof. Dr. Mostapha Zbakh
Prof. Dr. Pascal Bouvry
Dr. Caesar Wu
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. 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 1800 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

  • internet of things
  • cloud IoT architecture
  • cloud-fog-edge computing
  • blockchain

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Published Papers (1 paper)

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Research

29 pages, 577 KiB  
Article
Offloaded Computation for QoS Routing in Wireless Sensor Networks
by Basma Mostafa and Miklos Molnar
Information 2025, 16(6), 464; https://doi.org/10.3390/info16060464 - 30 May 2025
Viewed by 340
Abstract
In Wireless Sensor Networks (WSNs) used for real-time applications, ensuring Quality of Service (QoS) is essential for maintaining end-to-end performance guarantees. QoS requirements are typically defined by a set of end-to-end constraints, including delay, jitter, and packet loss. In multi-hop scenarios, this requires [...] Read more.
In Wireless Sensor Networks (WSNs) used for real-time applications, ensuring Quality of Service (QoS) is essential for maintaining end-to-end performance guarantees. QoS requirements are typically defined by a set of end-to-end constraints, including delay, jitter, and packet loss. In multi-hop scenarios, this requires multi-constrained path computation. This research examines the standard Routing Protocol for Low-Power and Lossy Networks (RPL), which employs a Destination-Oriented Directed Acyclic Graph (DODAG) for data transmission. Nonetheless, there are several challenges related to multi-constrained route computation in the RPL: (1) The DODAG originates from an objective function that cannot manage multiple constraints. (2) The process of computing multi-constrained routes is resource-intensive, even for a single path. (3) The collection of QoS-compatible paths does not necessarily form a DODAG. To address these challenges, this paper suggests modifications to the existing protocols that shift computationally demanding tasks to edge servers. Such a strategic adjustment allows for the implementation of QoS-compatible route computation in WSNs using the RPL. It enhances their ability to meet increasingly stringent demands for QoS in numerous application environments. Full article
(This article belongs to the Special Issue Internet of Things and Cloud-Fog-Edge Computing, 2nd Edition)
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