sensors-logo

Journal Browser

Journal Browser

Intelligent Sensing and Computing in Wireless Networks

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Internet of Things".

Deadline for manuscript submissions: 15 December 2025 | Viewed by 880

Special Issue Editors


E-Mail Website
Guest Editor
School of Computer Science and Technology, Dalian University of Technology, Dalian 116024, China
Interests: cyber-physical systems; real-time systems; Internet of Things; intelligent autonomous systems; robotics; security

E-Mail Website
Guest Editor
School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu 610054, China
Interests: trusted AI; safety-critical embedded systems; mobile intelligence; big data acceleration

E-Mail Website
Guest Editor
School of Software, Xinjiang University, Xinjiang, Urumqi 830046, China
Interests: artificial intelligence; bioinformatics; data mining

Special Issue Information

Dear Colleagues, 

Wireless networks are foundational to modern communication, supporting diverse applications from mobile communications to the Internet of Things (IoT). The integration of intelligent sensing and computing techniques is crucial for enhancing these networks' capabilities, efficiency, and reliability. This Special Issue focuses on cutting-edge research and innovative methodologies that leverage advanced sensing and computational intelligence to address contemporary challenges in wireless networks. We welcome contributions that provide new insights into sensor development, machine learning, and AI applications for network optimization, distributed and edge computing paradigms, energy-efficient solutions, and the security and privacy of intelligent wireless networks. This Special Issue invites original research articles, comprehensive reviews, and insightful case studies that cover a broad range of topics, including but not limited to, the following:

  • Advanced sensing techniques in wireless networks;
  • Artificial intelligence/machine learning for wireless network optimization;
  • Distributed and edge computing in wireless environments;
  • Integration of IoT with intelligent wireless sensor networks;
  • Energy-efficient sensing and computing strategies;
  • Security and privacy issues in intelligent wireless networks;
  • Real-world applications and case studies of intelligent sensing and computing in wireless networks;

Dr. Jiankang Ren
Dr. Wei Jiang
Dr. Jinmiao Song
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. Sensors 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 2600 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

  • Internet of Things (IoT)
  • cyber-physical systems (CPS)
  • intelligent sensing
  • intelligent computing
  • wireless networks
  • real-time computing
  • edge computing
  • energy efficiency
  • security and privacy

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.

Further information on MDPI's Special Issue policies can be found here.

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

22 pages, 1445 KB  
Article
A Dynamic QoS Mapping Algorithm for 5G-TSN Converged Networks Based on Weighted Fuzzy C-Means and Three-Way Decision Theory
by Yuhang Wu, Fangmin Xu, Lina Ning, Xiaokai Liu, Hongyuan Chen, Xingbo Lu and Chenglin Zhao
Sensors 2025, 25(21), 6648; https://doi.org/10.3390/s25216648 - 30 Oct 2025
Viewed by 454
Abstract
To ensure end-to-end Quality of Service (QoS) management in 5G-TSN converged networks, this paper proposes a dynamic weighted QoS mapping method based on Weighted Fuzzy C-Means and Three-Way Decisions (WFCM-TDwQM). The WFCM algorithm is employed to cluster Time-Sensitive Networking (TSN) flows based on [...] Read more.
To ensure end-to-end Quality of Service (QoS) management in 5G-TSN converged networks, this paper proposes a dynamic weighted QoS mapping method based on Weighted Fuzzy C-Means and Three-Way Decisions (WFCM-TDwQM). The WFCM algorithm is employed to cluster Time-Sensitive Networking (TSN) flows based on their QoS attributes, reducing computational complexity. A three-way decision-based method is used to assign a reasonable and approximate set of 5G QoS Identifier (5QI) values to each cluster. Finally, dynamic weights are adjusted by considering QoS similarity and the residual load rate, enabling the system to adapt to network load changes. The experimental results show that, compared with three other mapping algorithm combinations, WFCM-TDwQM not only ensures end-to-end QoS consistency but also achieves better load balancing under varying network loads. Moreover, its mapping performance is evaluated under different network scenarios. Full article
(This article belongs to the Special Issue Intelligent Sensing and Computing in Wireless Networks)
Show Figures

Figure 1

Back to TopTop