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Applied Sciences
Special Issues
Trends and Challenges in Communication Networks
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Trends and Challenges in Communication Networks

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Electrical, Electronics and Communications Engineering".

Deadline for manuscript submissions: 20 September 2024 | Viewed by 1630

Special Issue Editors

Prof. Dr. Inmaculada Ayala Viñas

E-Mail Website
Guest Editor
ITIS Software, Universidad de Málaga, 29010 Malaga, Spain
Interests: self-adaptation; goal-based modeling; IoT; ambient intelligence
Dr. Laura Panizo

E-Mail Website
Guest Editor
ITIS Software, Universidad de Málaga, 29010 Malaga, Spain
Interests: formal methods; verification; runtime-monitoring; time-senstive networking; mobile networks

Special Issue Information

Dear Colleagues,

In the last decades, communications networks have been undergoing a radical transformation driven by the growth in data consumption and the expansion of interconnected devices. This exponential increase, driven by trends such as high-definition video streaming, the Internet of Things (IoT) and the rise of cloud-based applications, is pushing the limits of current network capabilities. This landscape means that communication networks face significant challenges in keeping pace with this ever-increasing demand. Technology enablers such as Network Function Virtualization (NFV) and Software-Defined Networking (SDN) are transforming network architectures, fostering greater flexibility and agility. In addition, wireless technologies like 5G and beyond hold the potential for significantly faster data speeds, lower latency and the ability to connect a vastly larger number of devices.

This Special Issue aims to explore current challenges and advancements in communication network technologies and applications. The topics of interest include, but are not limited to, the following:

  • Network Scalability: Novel approaches to efficiently handling the growing volume of data traffic, including network architecture improvements and resource management strategies.
  • Emerging Technologies: Research on next-generation wireless technologies (5G and beyond), Network Function Virtualization (NFV), Software-Defined Networking (SDN) and in-network computing to address network challenges and enable new applications.
  • Network Modeling and Analysis: Development of new theoretical frameworks and techniques for modeling network behavior, performance evaluation or capacity planning.
  • Testing and Verification of Applications and Services: Innovative methodologies and tools for testing performance, realiability and security of communication network applications and services.
  • Network Applications and Services: Exploration of network slicing for diverse applications, the role of Artificial Intelligence and Machine Learning in network optimization and management and the advancement of network security protocols to combat evolving cyber threats.

We encourage submissions that present original research, innovative solutions and critical analyses of current trends in communication networks.

Prof. Dr. Inmaculada Ayala Viñas
Dr. Laura Panizo
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. Applied Sciences 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

  • networks architecture
  • network applications and services
  • network management
  • wireless networks (5G, B5G, etc.)
  • network modelling and analysis
  • network performance evaluation
  • AI/ML for networking

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Published Papers (2 papers)

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28 pages, 25910 KiB  
Article
Development of a Prototype Solution for Reducing Soup Waste in an Institutional Canteen
by Ana Correia, Clara Aidos, João M. L. P. Caldeira and Vasco N. G. J. Soares
Appl. Sci. 2024, 14(13), 5729; https://doi.org/10.3390/app14135729 - 30 Jun 2024
Viewed by 692
Abstract
Food waste has gained increasing attention and debate, given its economic, environmental, social, and nutritional implications. One-third of food intended for human consumption is wasted. Although it is present at all stages of the food supply chain, it is in the final stages [...] Read more.
Food waste has gained increasing attention and debate, given its economic, environmental, social, and nutritional implications. One-third of food intended for human consumption is wasted. Although it is present at all stages of the food supply chain, it is in the final stages of consumption, such as households and food services, that the problem becomes most evident. This work builds on a previous study by the same authors, which identified computer vision as a suitable technology for identifying and quantifying food waste in institutional canteens. Based on this result, this paper describes the proposal and implementation process of a prototype demonstration. It is based on a Raspberry Pi 4 platform, a ResNet-50 model adapted with the Faster Region-Convolutional Neural Network (Faster R-CNN) model, and an algorithm for feature extracting. A specially built dataset was used to meet the challenge of detecting soup bowls and classifying waste in their consumption. A web application was developed to visualize the data collected, supporting decision making for more efficient food waste management. The prototype was subjected to validation and functional tests, and proved to be a viable, low-cost solution. Full article
(This article belongs to the Special Issue Trends and Challenges in Communication Networks)
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21 pages, 10999 KiB  
Article
Performance Evaluation of TCP BBRv3 in Networks with Multiple Round Trip Times
by Agnieszka Piotrowska
Appl. Sci. 2024, 14(12), 5053; https://doi.org/10.3390/app14125053 - 10 Jun 2024
Viewed by 528
Abstract
The Transmission Control Protocol (TCP) serves as a cornerstone mechanism for implementing Congestion Control (CC) across the Internet. Designing a solution that provides high bandwidth utilization and mitigates the phenomenon of bufferbloat across a spectrum of diverse scenarios poses a considerable challenge. The [...] Read more.
The Transmission Control Protocol (TCP) serves as a cornerstone mechanism for implementing Congestion Control (CC) across the Internet. Designing a solution that provides high bandwidth utilization and mitigates the phenomenon of bufferbloat across a spectrum of diverse scenarios poses a considerable challenge. The introduction of Bottleneck Bandwidth and Round Trip propagation time (BBR) in 2016 marked a significant shift in congestion control methodology. Its improved performance and adaptability contributed to the initial acclaim and widespread interest that it received.. Unlike most currently used CCs, it operates around Kleinrock’s optimal point, thus offering high throughput even in lossy networks while preventing buffer saturation. Unfortunately, it quickly became evident that BBR was unable to fairly share bandwidth with flows characterized by different path delays, as well as loss-based CCs. In response, Google recently introduced a third iteration to address these shortcomings. This study explores the performance of BBRv3 across a wide range of scenarios, thereby considering different buffer sizes and paths with varying Round Trip Times (RTTs), and it evaluates its superiority over its predecessors. Through extensive simulations, this work assesses whether BBRv3 can finally play fair with other bandwidth contenders, which is a critical consideration given the widespread deployment of BBR. The framework is publicly available to facilitate additional validation and ensure the reproducibility of the study’s findings. The results indicate that while BBRv3 demonstrates enhanced fairness towards loss-based CC algorithms, it struggles when competing against other BBR flows, especially in multi-RTT networks, thus falling short even when compared to the initial version. Full article
(This article belongs to the Special Issue Trends and Challenges in Communication Networks)
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