Modeling and Performance Evaluation of Computer Networks

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

Deadline for manuscript submissions: 15 August 2026 | Viewed by 1905

Special Issue Editors


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Guest Editor
Department of Information Systems and Computer Science, Ahmed Bin Mohammed Military College (ABMMC), Doha P.O. Box 22988, Qatar
Interests: computer networks; wireless communications; telecommunication engineering; wireless channel modeling

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Guest Editor
Teoría de Señales y Comunicaciones Departamento (DTSC), Universidad Charles III of Madrid, UC3M, Leganes, Spain
Interests: machine learning; array optimization; cooling solutions; multi-beam antennas; telecommunication engineering

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Guest Editor
Faculty of Science, Graduate School of Informatics, University of Amsterdam, 1012 WP Amsterdam, The Netherlands
Interests: sensor data; data science; artificial intelligence; IoT
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Special Issue Information

Dear Colleagues,

The growing complexity, scalability, and heterogeneity of modern communication systems, spanning from wired infrastructures to dynamic wireless and cloud-based networks, have increased the need for accurate and scalable modeling and performance evaluation techniques in computer networks. This Special Issue, titled “Modeling and Performance Evaluation of Computer Networks”, aims to bring together novel research and significant developments in the field of computer network modeling, simulation, and performance analysis, with a strong emphasis on both theoretical frameworks and practical applications.

The focus of this Special Issue is to explore innovative approaches for understanding and optimizing the behavior of computer networks under various conditions. We welcome original research articles, comprehensive reviews, and applied case studies that contribute to the development of modeling techniques, performance evaluation frameworks, and system-level analyses across diverse network types.

The scope of this Special Issue includes, but is not limited to, analytical modeling, algorithmic strategies, simulation-based evaluation, protocol analysis, and tools for performance benchmarking in networks such as ad hoc networks, wired/wireless LANs, sensor networks, SDN, IoT, 5G/6G, and edge computing environments. Topics like latency optimization, real-time applications, Quality of Service (QoS), traffic engineering, energy efficiency, and network reliability are particularly encouraged. Its purpose is to serve as a reference point for researchers and practitioners aiming to design, evaluate, or enhance network systems.

This Special Issue seeks to supplement the existing literature by addressing key gaps such as the modeling of emerging network paradigms (e.g., 6G and autonomous networks) and the integration of AI (Artificial Intelligence) and ML (Machine Learning) in performance evaluation. We welcome contributions on the topics outlined above.

Dr. Yaseein Soubhi Hussein
Dr. Abdulmajeed Al-Jumaily
Dr. Ali Mohammed Mansoor Alsahag
Guest Editors

Manuscript Submission Information

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Keywords

  • network modeling
  • performance evaluation
  • quality of service (QoS)
  • network simulation
  • traffic engineering
  • wireless networks
  • internet of things (IoT)
  • software-defined networking (SDN)
  • 5G/6G networks
  • edge and cloud networking

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Published Papers (2 papers)

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Research

21 pages, 2696 KB  
Article
Evaluating OFDMA and TWT in Wi-Fi 6/7 for QoS Assurance in IoMT Networks
by Cameron T. Day, Abdussalam Salama, Reza Saatchi, Maryam Bagheri, Najam Ul Hasan and Samuel Betts
Electronics 2026, 15(5), 911; https://doi.org/10.3390/electronics15050911 - 24 Feb 2026
Abstract
Many existing healthcare facilities still rely on the legacy Wi-Fi 5 (IEEE 802.11ac) standard, which is based on Orthogonal Frequency-Division Multiplexing (OFDM). OFDM supports single-user-per-channel access, leading to increased contention, higher latency, jitter, and packet loss under dense device deployments commonly found in [...] Read more.
Many existing healthcare facilities still rely on the legacy Wi-Fi 5 (IEEE 802.11ac) standard, which is based on Orthogonal Frequency-Division Multiplexing (OFDM). OFDM supports single-user-per-channel access, leading to increased contention, higher latency, jitter, and packet loss under dense device deployments commonly found in clinical environments. This study presents a quantitative performance evaluation of Wi-Fi 5 and Wi-Fi 6/7 by comparing the effectiveness of OFDM with Orthogonal Frequency-Division Multiple Access (OFDMA) and Target Wake Time (TWT) in a simulated dense IoMT environment. Simulations were conducted using Network Simulator 3 (NS-3), and relevant Quality of Service (QoS) metrics. The results demonstrated that OFDMA reduces average network delay by up to approximately 37%, improves throughput by approximately 20%, and reduces packet loss ratio by up to 85% compared to OFDM under high-density operations, while exhibiting marginally improved jitter performance (approximately 2%). In addition, the use of TWT achieved substantial reductions in device power consumption of up to approximately 90%, at the cost of reduced aggregate throughput of up to approximately 75% under high station densities. These results demonstrated that Wi-Fi 6/7 technologies can offer significant advantages in terms of QoS and energy efficiency over legacy Wi-Fi 5 for dense IoMT environments. Full article
(This article belongs to the Special Issue Modeling and Performance Evaluation of Computer Networks)
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35 pages, 1763 KB  
Article
Systematic Evaluation of the Infrastructure of Free Content Websites: Network, Cloud, and Country-Level Security Analysis
by Mohammed Alqadhi, Mukhtar Hussain, Abdulrahman Alabduljabbar, Hattan Althebeiti, Ahmed Abdalaal, Manar Mohaisen and David Mohaisen
Electronics 2026, 15(3), 497; https://doi.org/10.3390/electronics15030497 - 23 Jan 2026
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Abstract
We statistically examine the global distribution of free content websites (FCWs) by analyzing their hosting network scale, cloud service provider, and country-level presence, both in aggregate and across specific content categories. These measurements are contrasted with those of premium content websites (PCWs) and [...] Read more.
We statistically examine the global distribution of free content websites (FCWs) by analyzing their hosting network scale, cloud service provider, and country-level presence, both in aggregate and across specific content categories. These measurements are contrasted with those of premium content websites (PCWs) and with general websites sampled from the Alexa top-1M. We further evaluate their security characteristics using multiple security indicators. Our findings show that FCWs and PCWs are predominantly hosted in medium-scale networks, which are strongly associated with a high concentration of malicious websites. At the cloud and country level, FCW distributions follow heavy-tailed patterns that differ from those of PCWs. Beyond static distributions, our analysis also uncovers dynamic trends, where PCWs demonstrate improving security postures over time while FCWs reveal increasing maliciousness in several categories and hosting regions. This study contributes to understanding the FCW ecosystem through comprehensive quantitative analysis. The results suggest that the harm posed by malicious FCWs can potentially be contained through effective isolation and filtering, given their concentration at the network, cloud, and country levels, and that longitudinal monitoring is essential to capture their evolving risks. Full article
(This article belongs to the Special Issue Modeling and Performance Evaluation of Computer Networks)
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