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Feature Papers in Communications Section 2025

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

Deadline for manuscript submissions: 31 December 2025 | Viewed by 738

Special Issue Editors


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Guest Editor
Department of Electrical and Electronic Engineering, School of Engineering, Computer and Mathematical Sciences, Auckland University of Technology, Auckland 1010, New Zealand
Interests: mobile computing; wireless communication systems and technologies; networking and communications; communications engineering; cyber–physical systems and the Internet of Things; 4/5/6G; vehicular networks; Internet of Things
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Guest Editor Assistant
Department of Electrical and Information Engineering, Faculty of Engineering, University of Ruhuna, Galle 80000, Sri Lanka
Interests: software-defined networking; vehicular networks; cyber security; data mining; machine learning; artificial intelligence; Internet of Things; optimization; software engineering

Special Issue Information

Dear Colleagues,

We are pleased to announce that the Communications Section is compiling a collection of papers submitted exclusively by Editorial Board Members (EBMs) of our section and outstanding scholars in this research field.

The purpose of this Special Issue is to publish a set of papers that typify the very best insightful and influential original articles or reviews in which our section EBMs discuss key topics in the field. We expect these papers to be widely read and highly influential within the field. All papers in this Special Issue will be collected into a printed book edition following the deadline, and they will be extensively promoted.

We wish to take this opportunity to call on more excellent scholars to join the Communications Section so that we can achieve more milestones together.

The topics of interest to this Special Issue include, but are not limited to, the following:

  • Joint radar and communications;
  • Wireless, mobile, Ad Hoc, and sensor networks;
  • Integrated positioning and communications;
  • Integrated sensing and communications;
  • RF sensing and localization;
  • Mobility, sensing, and networking;
  • Reconfigurable intelligent surfaces for sensing and communications;
  • Sensor-aided communication in vehicular channels;
  • Cloud, edge, and fog computing for sensing and inference;
  • Sensing, communication, and networking in challenging scenarios (e.g., in-body networks, underground, underwater, rural and low-income areas, and  space);
  • Trustworthiness of mobile, wireless, and sensor systems;
  • Notable 5G/6G communication systems;
  • RFID (Radio Frequency Identification);
  • Antenna arrays;
  • Distributed sensing and communications;
  • Sensor networks and data communications;
  • Real-time communications in wireless sensor networks.

Prof. Dr. Peter Han Joo Chong
Guest Editor

Dr. Kalupahana Liyanage Kushan Sudheera
Guest Editor 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

  • wireless communication
  • integrated sensing and communications
  • antenna technology
  • radio frequency identification
  • 5G/6G

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

Published Papers (1 paper)

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Research

25 pages, 3053 KB  
Article
Enhanced YOLOv11 Framework for Accurate Multi-Fault Detection in UAV Photovoltaic Inspection
by Shufeng Meng, Yang Yue and Tianxu Xu
Sensors 2025, 25(17), 5311; https://doi.org/10.3390/s25175311 - 26 Aug 2025
Viewed by 472
Abstract
Stains, defects, and snow accumulation constitute three prevalent photovoltaic (PV) anomalies; each exhibits unique color and thermal signatures yet collectively curtail energy yield. Existing detectors typically sacrifice accuracy for speed, and none simultaneously classify all three fault types. To counter the identified limitations, [...] Read more.
Stains, defects, and snow accumulation constitute three prevalent photovoltaic (PV) anomalies; each exhibits unique color and thermal signatures yet collectively curtail energy yield. Existing detectors typically sacrifice accuracy for speed, and none simultaneously classify all three fault types. To counter the identified limitations, an enhanced YOLOv11 framework is introduced. First, the hue-saturation-value (HSV) color model is employed to decouple hue and brightness, strengthening color feature extraction and cross-sensor generalization. Second, an outlook attention module integrated into the backbone precisely delineates micro-defect boundaries. Third, a mix structure block in the detection head encodes global context and fine-grained details to boost small object recognition. Additionally, the bounded sigmoid linear unit (B-SiLU) activation function optimizes gradient flow and feature discrimination through an improved nonlinear mapping, while the gradient-weighted class activation mapping (Grad-CAM) visualizations confirm selective attention to fault regions. Experimental results show that overall mean average precision (mAP) rises by 1.8%, with defect, stain, and snow accuracies improving by 2.2%, 3.3%, and 0.8%, respectively, offering a reliable solution for intelligent PV inspection and early fault detection. Full article
(This article belongs to the Special Issue Feature Papers in Communications Section 2025)
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