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Wireless Communication Technologies for Internet of Things and Wireless Sensor Networks

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

Deadline for manuscript submissions: 1 December 2025 | Viewed by 805

Special Issue Editors

Prof. Dr. Jianhang Tang

E-Mail Website
Guest Editor
State Key Laboratory of Public Big Data, Guizhou University, Guiyang, China
Interests: edge intelligence; communication networks; wireless communications; metaverse; Internet of Things
Dr. Yang Zhang

E-Mail Website
Guest Editor
College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China
Interests: Internet of Things; resource allocation; edge computing; wireless communications; network security
Prof. Dr. Shaobo Li

E-Mail Website
Guest Editor
School of Mechanical Engineering, The Internet of Things Center, Guizhou University, Guizhou 550025, China
Interests: Internet of Things; wireless sensor networks; intelligent manufacturing engineering; low-altitude economy networking
Dr. Kebing Jin

E-Mail Website
Guest Editor Assistant
State Key Laboratory of Public Big Data, Guizhou University, Guizhou, China
Interests: AI planning; resource allocation; UAV-assisted wireless communications

Special Issue Information

Dear Colleagues,

With the arrival of the sixth-generation (6G) communications era, marked by ubiquitous connectivity, extremely low latency, and ultrahigh reliability, the future landscape of the Internet of Things (IoT) is undergoing significant changes, increasing interest in utilizing emerging wireless communication technologies in multi-domain sensing applications. Evolving IoT and wireless sensor networks are bolstered by diverse technologies, e.g., UAV, generative artificial intelligence (GenAI), and integrated sensing and communication (ISAC). Progress in the combination of these technologies has opened up new opportunities to enhance network performance. Moreover, to meet the demands of emerging application scenarios, new technologies and frameworks are required for IoT and wireless sensor networks.

This Special Issue will delve deeply into these challenges and opportunities, inviting contributions to theoretical advancements, technological solutions, and case studies that support various applications for facilitating the development of IoT and wireless sensor networks. Potential topics of interest include, but are not limited to, the following:

  1. UAV-assisted IoT and wireless sensor networks;
  2. GenAI-assisted IoT and wireless sensor networks;
  3. ISAC framework in IoT and wireless sensor networks;
  4. Security and privacy of IoT and wireless sensor networks;
  5. Performance analysis/optimization for IoT and wireless sensor networks;
  6. Centralized/distributed machine learning for IoT and wireless sensor networks;
  7. Testbed and real-world evaluation of IoT and wireless sensor networks;
  8. Algorithm design and evaluation in IoT and wireless sensor networks.

Prof. Dr. Jianhang Tang
Dr. Yang Zhang
Prof. Dr. Shaobo Li
Guest Editors

Dr. Kebing Jin
Guest Editors Assistant

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
  • wireless sensor networks
  • artificial intelligence
  • generative artificial intelligence
  • UAV
  • security and privacy
  • resource allocation

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

Published Papers (2 papers)

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Research

23 pages, 6190 KiB  
Article
Novel 3D UAV Path Planning for IoT Services Based on Interactive Cylindrical Vector Teaching–Learning Optimization Algorithm
by Xinghe Jiang, Xuanyu Wu, Zhifeng Zhang, Zhaoxi Hong, Xi Xiao and Yixiong Feng
Sensors 2025, 25(8), 2407; https://doi.org/10.3390/s25082407 - 10 Apr 2025
Viewed by 354
Abstract
In the 6G-IoT convergence ecosystem, UAV path planning for static environments is systematically investigated as a resource coordination problem where communication demands and terrain constraints are balanced through intelligent trajectory optimization. The innovation of this paper lies in the proposal of an interactive [...] Read more.
In the 6G-IoT convergence ecosystem, UAV path planning for static environments is systematically investigated as a resource coordination problem where communication demands and terrain constraints are balanced through intelligent trajectory optimization. The innovation of this paper lies in the proposal of an interactive cylinder vector teaching–learning-based optimization (ICVTLBO) algorithm, where UAV trajectory points are represented in cylindrical coordinates, and targeted interactive strategies are proposed during the teacher and learner phases to address uncertainty challenges, such as terrain elevation fluctuations and communication link instability caused by obstacles in static environments. The ICVTLBO is compared with other classical and novel algorithms on the CEC2022 benchmark function suite, demonstrating its effectiveness and reliability in solving complex optimization problems. Subsequently, real digital elevation model (DEM) maps are utilized to establish nine diverse terrain scenarios for the simulation of 3D UAV path planning challenges, and experimental results show that the ICVTLBO outperforms other methods, providing high-quality paths for UAVs in complex environments. Full article
(This article belongs to the Special Issue Wireless Communication Technologies for Internet of Things and Wireless Sensor Networks)
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17 pages, 1688 KiB  
Article
Privacy-Preserving Multi-User Graph Intersection Scheme for Wireless Communications in Cloud-Assisted Internet of Things
by Shumei Yang
Sensors 2025, 25(6), 1892; https://doi.org/10.3390/s25061892 - 18 Mar 2025
Viewed by 178
Abstract
Cloud-assisted Internet of Things (IoT) has become the core infrastructure of smart society since it solves the computational power, storage, and collaboration bottlenecks of traditional IoT through resource decoupling and capability complementarity. The development of a graph database and cloud-assisted IoT promotes the [...] Read more.
Cloud-assisted Internet of Things (IoT) has become the core infrastructure of smart society since it solves the computational power, storage, and collaboration bottlenecks of traditional IoT through resource decoupling and capability complementarity. The development of a graph database and cloud-assisted IoT promotes the research of privacy preserving graph computation. We propose a secure graph intersection scheme that supports multi-user intersection queries in cloud-assisted IoT in this article. The existing work on graph encryption for intersection queries is designed for a single user, which will bring high computational and communication costs for data owners, or cause the risk of secret key leaking if directly applied to multi-user scenarios. To solve these problems, we employ the proxy re-encryption (PRE) that transforms the encrypted graph data with a re-encryption key to enable the graph intersection results to be decrypted by an authorized IoT user using their own private key, while data owners only encrypt their graph data on IoT devices once. In our scheme, different IoT users can query for the intersection of graphs flexibly, while data owners do not need to perform encryption operations every time an IoT user makes a query. Theoretical analysis and simulation results demonstrate that the graph intersection scheme in this paper is secure and practical. Full article
(This article belongs to the Special Issue Wireless Communication Technologies for Internet of Things and Wireless Sensor Networks)
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