Algorithms, Architectures, and Applications for Future Wireless and Distributed Networks

A special issue of Future Internet (ISSN 1999-5903). This special issue belongs to the section "Internet of Things".

Deadline for manuscript submissions: 20 May 2026 | Viewed by 21

Special Issue Editors


E-Mail Website
Guest Editor
Department of Electrical and Computer Engineering, University of Thessaly, 38334 Volos, Greece
Interests: distributed computing; distributed systems
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Electrical and Computer Engineering, University of Thessaly, 38334 Volos, Greece
Interests: deep learning; federated learning; deep neural networks; network science

Special Issue Information

Dear Colleagues,

The rapid evolution of wireless and distributed networks introduces new challenges in terms of communication, processing, and efficiency, making the development of innovative algorithms and architectures essential. This Special Issue, entitled ‘Algorithms, Architectures, and Applications for Future Wireless and Distributed Networks’, aims to gather original research contributions focusing on communication alleviation and optimization in wireless networks, with an emphasis on reducing latency, enhancing energy efficiency, and ensuring scalable performance. Particular attention is given to the design of methods that enable the effective integration of deep learning techniques, allowing networks to support intelligent resource management, adaptive routing, and autonomy in heterogeneous environments. Through this thematic focus, this Special Issue seeks to highlight new theoretical directions and practical applications that will strengthen the robustness and sustainability of future wireless infrastructures.

The Special Issue covers (but is not limited to) the following topics:

  • Communication-efficient algorithms for wireless and distributed learning;
  • Energy-aware architectures for next-generation wireless networks;
  • Federated and distributed deep learning over heterogeneous wireless infrastructures;
  • Edge intelligence: integrating deep learning at the wireless edge;
  • Low-latency architectures for 6G and beyond distributed systems;
  • Adaptive routing and topology control in large-scale wireless networks;
  • Security and privacy-preserving mechanisms for intelligent distributed networks;
  • Applications of language model learning in wireless communication optimization;
  • Sustainable architectures for green and resilient wireless infrastructures

Dr. Dimitrios Katsaros
Dr. Evangelia Fragkou
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. Future Internet 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 1600 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

  • machine learning in communications and networking
  • distributed consensus for wireless networks
  • edge intelligence
  • 6g wireless networks
  • mobile/vehicular/flying ad hoc networks
  • language models for wireless and distributed networks

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Published Papers

This special issue is now open for submission.
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