Feature Papers in Networks: 2025–2026 Edition

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

Deadline for manuscript submissions: 15 May 2026 | Viewed by 575

Special Issue Editors


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Guest Editor
Department of Information and Communication Engineering, University of Murcia, 30100 Murcia, Spain
Interests: IoT; privacy preservation; cybersecurity; threat/risk analysis; trust management; distributed systems
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Special Issue Information

Dear Colleagues,

We are delighted to announce the launch of this new Special Issue entitled “Feature Papers in Networks: 2025–2026 Edition.” Networks, as a dynamic and interdisciplinary field, represents a critical backbone bridging information technology, computer science, communication engineering, and various industry sectors. It plays an indispensable role in enabling seamless data transmission, supporting intelligent system operations, and driving digital transformation across domains such as smart cities, healthcare, transportation, and industrial manufacturing. With the rapid evolution of technologies like 6G, edge computing, and artificial intelligence-empowered network management, research on network architectures, protocols, security, and optimization is advancing at an unprecedented pace, offering innovative solutions to address complex challenges in connectivity, efficiency, and reliability. This Special Issue is dedicated to showcasing the most significant, high-quality cutting-edge contributions across the field of networks research.

In this Special Issue, we welcome original research articles and reviews that include—but are not limited to—the following topics:

  • Design and optimization of next-generation network architectures (e.g., 6G networks, satellite-terrestrial integrated networks, edge–cloud collaborative networks)​;
  • advanced network protocols for enhanced data transmission efficiency, latency reduction, and resource allocation​;
  • network security and privacy protection technologies, including intrusion detection, encryption algorithms, and trust management mechanisms​;
  • artificial intelligence and machine learning applications in network management, traffic prediction, and fault diagnosis​;
  • network support for emerging technologies (e.g., Internet of Things, virtual reality/augmented reality, quantum communication)​;
  • green and energy-efficient network design and operation strategies​;
  • network performance evaluation, modeling, and simulation methodologies​.

We look forward to receiving your contributions.

Dr. Jorge Bernal Bernabe
Prof. Dr. Pietro Manzoni
Prof. Dr. Nurul Sarkar
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 250 words) can be sent to the Editorial Office for assessment.

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

  • wireless communication and systems
  • computer networks
  • Internet of Things and smart cities
  • pervasive computing and smart spaces
  • distributed systems networking, cloudification and services
  • connected and autonomous vehicles
  • mobile networking and computing
  • quality of service and quality of experience in wired and wireless systems

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Published Papers (2 papers)

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Research

20 pages, 8026 KB  
Article
HyFLM: A Hypernetwork-Based Federated Learning with Multidimensional Trajectory Optimization on Diffusion Paths
by Ho-jun Song and Young-Joo Suh
Electronics 2025, 14(23), 4704; https://doi.org/10.3390/electronics14234704 - 28 Nov 2025
Viewed by 133
Abstract
The effective training of large-scale distributed deep learning models has become an active and emerging research area in recent years. Federated learning (FL) can address those challenges by training global models through parameter exchange of client models rather than raw data sharing, thereby [...] Read more.
The effective training of large-scale distributed deep learning models has become an active and emerging research area in recent years. Federated learning (FL) can address those challenges by training global models through parameter exchange of client models rather than raw data sharing, thereby preserving security and communication efficiency. However, conventional linear aggregation approaches in FL neglect heterogeneous client models and non-IID data. This often results in inter-layer information imbalance and feature-space misalignment, leading to low overall accuracy and unstable training. To overcome these limitations, we propose HyFLM, a personalized federated learning framework that maximizes performance with Multidimensional Trajectory Optimization theory (MTO) on diffusion paths. HyFLM extends a diffusion-based FL framework by encoding client–parameter dependencies with a diffusion model and precisely controlling dimension-specific paths, thereby generating personalized weights that reflect both the data complexity and the resource constraints of each client. In addition, a lightweight hypernetwork generates client-specific adapters or weights to further enhance personalization. Extensive experiments on multiple benchmarks demonstrate that HyFLM consistently outperforms major baselines in terms of both accuracy and communication efficiency, achieving faster convergence and higher accuracy. Furthermore, ablation studies verify the contribution of MAC to convergence acceleration, confirming that HyFLM is an effective and practical personalized FL paradigm for heterogeneous client models. Full article
(This article belongs to the Special Issue Feature Papers in Networks: 2025–2026 Edition)
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28 pages, 3209 KB  
Article
Energy Efficiency Optimization in Heterogeneous 5G Networks Using DUDe
by Chrysostomos-Athanasios Katsigiannis, Konstantinos Tsachrelias, Vasileios Kokkinos, Apostolos Gkamas, Christos Bouras and Philippos Pouyioutas
Electronics 2025, 14(23), 4641; https://doi.org/10.3390/electronics14234641 - 25 Nov 2025
Viewed by 254
Abstract
To meet the escalating data demands of 5G and beyond networks, densified Heterogeneous Networks (HetNets) provide a promising solution, deploying small base stations for improved spectral and energy efficiency. However, HetNets pose challenges, particularly in user association. This journal introduces the Downlink/Uplink Decoupling [...] Read more.
To meet the escalating data demands of 5G and beyond networks, densified Heterogeneous Networks (HetNets) provide a promising solution, deploying small base stations for improved spectral and energy efficiency. However, HetNets pose challenges, particularly in user association. This journal introduces the Downlink/Uplink Decoupling (DUDe) approach, which enhances uplink performance in HetNets by allowing different access points for uplink and downlink associations. We assess DUDe’s energy efficiency through extensive simulations across various scenarios, demonstrating substantial energy savings compared to centralized 5G systems. Our findings underscore the importance of energy-efficient design for reducing network operational costs and carbon footprint in 5G networks. In addition to energy efficiency gains, DUDe also offers improved resource allocation and network flexibility, making it a valuable solution for evolving wireless communication ecosystems. Full article
(This article belongs to the Special Issue Feature Papers in Networks: 2025–2026 Edition)
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