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Applied Sciences
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State-of-the-Art of Intelligent Communication Networks
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State-of-the-Art of Intelligent Communication Networks

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Optics and Lasers".

Deadline for manuscript submissions: closed (20 August 2023) | Viewed by 4618

Special Issue Editors

Dr. Shafiullah Khan

E-Mail Website
Guest Editor
1. Faculty of Computer and Software Engineering, Huaiyin Institute of Technology, Huai’an 233003, China
2. Institute of Computing, Kohat University of Science and Technology (KUST), Kohat, Pakistan
Interests: wireless networks; networks security
Dr. Houbing Song

E-Mail Website
Guest Editor
Security and Optimization for Networked Globe Laboratory (SONG Lab), University of Maryland, Baltimore County, Baltimore, MD 21250, USA
Interests: artificial intelligence; machine learning; cybersecurity and privacy; cyber-physical systems; Internet of Things
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

With the rapid development of communication networks and the growing number of network users, current communication network technologies cannot meet the needs of future users. Therefore, there is a need for more intelligent wireless communication technologies. Intelligent communication systems and networks allow evolution from the simple transfer and exchange of information to the intelligent storage and processing of information. Intelligent communication systems and networks introduce more artificial intelligence in the network, thereby improving the service-processing capability and adaptability and providing services required for various users at any time.

In this Special Issue, the focus is to report state-of-the-art proposals using artificial intelligence in any communication networks. Currently, artificial intelligence is used in many communication networks, such as: wireless sensor networks; mobile ad hoc networks; wireless mesh networks; cellular networks; 5G and beyond; network security; cloud, edge, and fog computing; personal-area networks; wide-area networks; broadband networks; body area networks; satellite communication; delay-tolerant networks, etc.

Dr. Shafiullah Khan
Dr. Houbing Song
Guest Editors

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Keywords

  • wireless sensor networks
  • mobile ad hoc networks
  • wireless mesh networks
  • cellular networks
  • 5G and beyond
  • network security
  • cloud, edge, and fog computing
  • personal-area networks
  • wide-area networks
  • broadband networks
  • body area networks
  • satellite communication
  • delay-tolerant networks

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Published Papers (1 paper)

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Review

13 pages, 1408 KiB  
Review
The Role of Social Network Analysis in Social Media Research
by Zhou Nie, Moniza Waheed, Diyana Kasimon and Wan Anita Binti Wan Abas
Appl. Sci. 2023, 13(17), 9486; https://doi.org/10.3390/app13179486 - 22 Aug 2023
Cited by 2 | Viewed by 4146
Abstract
Previous studies regarding social interactions commonly adopt research methods that investigate causal relationships between variables. The existing approaches often utilize variables derived from general contexts, aiming to apply them universally across diverse situations. However, social interactions, including the usage of social media, are [...] Read more.
Previous studies regarding social interactions commonly adopt research methods that investigate causal relationships between variables. The existing approaches often utilize variables derived from general contexts, aiming to apply them universally across diverse situations. However, social interactions, including the usage of social media, are intricately woven within the immediate social context. The interpretability of these generalized variables has been attenuated by the dynamic and transient nature of social contexts; these variables have diverse impacts on social interactions. Consequently, researchers have been diligently seeking new variables relevant to specific social contexts in order to complement the existing generalized ones. However, the ever-changing nature of social contexts poses a challenge, impeding researchers from exhaustively defining all variables that influence social interactions. To address this complexity, this study proposes social network analysis as a suitable research method capable of capturing the ever-evolving dynamics of social interactions, including social media usage. Furthermore, this study puts forth hypotheses that specifically explore the role of individual social networks in social media research, with the aim of stimulating future investigations that center on the interactive and dynamic nature of social media usage. Full article
(This article belongs to the Special Issue State-of-the-Art of Intelligent Communication Networks)
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