Special Issue "Recent Advancements in Future Networking Technologies"

A special issue of Future Internet (ISSN 1999-5903).

Deadline for manuscript submissions: closed (31 July 2019) | Viewed by 2652

Special Issue Editor

Special Issue Information

Dear Colleagues,

Recently, a lot of research efforts have been made by both the academia and industry side to promote various new and emerging network paradigms. The reason is that during the past decade, it has been realized that the current internet architecture was originally designed for end-to-end host centric communications; however, the actual focus of communications is the content itself. Hence, we have witnessed new architectures, such as an information-centric networks (ICN), with various extensions, like content-centric networks (CCN), named data networks (NDN), data-oriented network architecture, and so on. On the other hand, enormous efforts in cellular networks have been made for improving the user experience and, as a result, today, we are able to use LTE-A and other networks. In this context, ongoing research on the upcoming 5G networking architectures is focused on the networking mechanisms regarding the massive increase in the number of connected devices, bandwidth requirements, reduced latency, and the deployment of supporting operational mechanisms, such as network virtualization, cloud-based deployments, mobile edge computing, and storage and new utilization scenarios. Moreover, these modern technologies are being applied in other networking domains as well, including VANETs, smart grid, smart cities, Internet of Things, big data, etc.

This Special Issue aims to bring together researchers working on selected areas of future internet architectures along with various implications, applications, such as smart cities, smart communities, and smart automotive driving. The authors are expected to share their new ideas, latest findings, and results on the following topics and others similar to them:

  • Information-centric networking (ICN) in Internet of Things;
  • Networking layer and forwarding strategies in ICN;
  • Interest/data forwarding in content-centric networks;
  • Interest/data forwarding in named data networks;
  • ICN application layer operations and models for testing/evaluation;
  • Analysis of content-centric networking in current network paradigms;
  • Analysis of named data networking in current network paradigms;
  • Congestion control protocols in ICN for both ad-hoc and wired networks;
  • Business perspective of applying ICN in a real-world environment;
  • Future internet in vehicular ad-hoc networks;
  • Future internet in big data;
  • Transport layer issues in future internet architectures;
  • Multimedia applications and feasibility with future internet architectures;
  • Future internet in smart cities;
  • Communication architectures;
  • Dynamic spectrum management;
  • Energy harvesting and power management;
  • Security and privacy;
  • Network modeling and performance evaluations;
  • Computational intelligence techniques;
  • Cloud/edge/fog computing in ad hoc networks.

Dr. Syed Hassan Ahmed
Guest Editor

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.


  • future networks
  • ad hoc networks
  • networks modeling

Published Papers (1 paper)

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Beam Training for Millimeter-Wave Communication Based on Tabu Table Enhanced Rosenbrock Algorithm
Future Internet 2019, 11(10), 214; https://doi.org/10.3390/fi11100214 - 12 Oct 2019
Cited by 2 | Viewed by 2301
The codebook-based beamforming for millimeter-wave (mm Wave) communication systems is usually used to compensate the severe attenuation of the mm Wave region. The beam training process based on pre-specified beam codebooks is considered a global optimization problem in 2-D planes formed by the [...] Read more.
The codebook-based beamforming for millimeter-wave (mm Wave) communication systems is usually used to compensate the severe attenuation of the mm Wave region. The beam training process based on pre-specified beam codebooks is considered a global optimization problem in 2-D planes formed by the potential beam index. The Rosenbrock algorithm (RA) is adopted to implement optimum beam searching whereas the simulated annealing (SA) algorithm is used to solve the problem of falling into the local optimum, due to the unavailable gradient information of the objective function. However, the RA implements rounding to the integer which leads to the problem of repeated search and beam space discontinuity caused by beam index will impair the powerful local search ability. Thus, in this paper, an enhanced RA based on tabu search and combined with SA algorithm is proposed as an alternative solution for beam search success rate. The proposed algorithm reduces the search times by forbidding the repeat search with tabu table and design of neighbor region. Moreover, to prevent the search failure, the search candidate index is defined to keep the local search ability of the original algorithm and wrap around of beam index is applied to maintain continuity of the search direction. Experimental simulations show that the proposed technique can improve the search efficiency in terms of reduced steps and increase search success rate during the beam training procedure compared to existing techniques. Full article
(This article belongs to the Special Issue Recent Advancements in Future Networking Technologies)
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